Indian Pacing Electrophysiol. J.

ISSN 0972-6292

Home Page Current Issue List of Editors

Indian Pacing Electrophysiol. J. 2005;5(3):160-174               Original Article

Impact of a right ventricular impedance sensor on the cardiovascular responses to exercise in pacemaker dependent patients.

Download PDF  428 KB 

Linnea Cook, MSc*, Corey Tomczak, MSc*, Edward Busse, MD, FRCS(C), FACS, John Tsang, MDCM, FRCSC, Wladyslaw Wojcik, MD, FRCP(C), Robert Haennel, PhD, FACSM*

*Faculty of Kinesiology and Health Studies, University of Regina, Regina, Canada.
Regina General Hospital, Regina Qu’Appelle Health Region, Regina, Canada.

Address for correspondence: R.G. Haennel, PhD, FACSM, Department of Physical Therapy, Faculty of Rehabilitation Medicine, 2-50F Corbett Hall, University of Alberta, Edmonton Alberta, T6G 2G4, Canada. E-mail:


Background. The evaluation of the heart rate (HR) response to exercise is important for the assessment of the rate response algorithm of sensor-controlled pacemakers. This study examined the effects of a right ventricular impedance sensor driven pacemaker on the cardiovascular responses to incremental exercise in pacemaker dependent patients.
Methods. Twelve patients (70.5 ± 9.5 years; 5 Females: 7 Males) implanted with an Inos2+  closed loop stimulation (CLS) pacemaker were compared to 12 healthy age and sex matched controls (70.6 ± 4.8 years). All subjects performed the chronotropic assessment exercise protocol (CAEP). Variables of interest included HR, cardiac output (Q), oxygen uptake (Vo2) and blood pressure (BP).  Data were analyzed at rest, throughout exercise and during recovery. Furthermore, patient chronotropic responses were compared to a reference chronotropic response slope for aerobic exercise.
Results. There were no differences between groups for HR or Q response throughout exercise. At peak exercise, Vo2 ( was higher for the controls (p < 0.05). The patient chronotropic response slope was comparable to the CAEP reference slope from rest to both the anaerobic threshold (AT) and peak exercise.  During recovery, no differences were observed between the groups for any parameters or for the HR decay slopes.
Conclusions. Up to the anaerobic threshold, the right ventricular impedance sensor driven pacemaker delivered a pacing rate that contributed to an overall cardiovascular response similar to that observed in healthy age matched subjects.
Keywords: cardiac pacing; exercise responses; chronotropic reserve index

            Rate responsive pacemakers sense some physiological or non-physiological signal(s), and translate changes in that signal into a pacing rate that is appropriate for the metabolic demands of the patient. Most sensors, although coupled with a normal HR response through a surrogate parameter, do not directly measure cardiac dynamics.  Since there is no direct “connection” between these surrogate parameters and the cardiovascular system, measurements are not always proportional, and are therefore, not always converted to an appropriate pacing rate for a given metabolic demand1,2
            The Inos2+ CLS pacemaker (Biotronik, Inc.) employs closed loop stimulation (CLS) based on right ventricular impedance monitoring. This device monitors cardiac contraction dynamics by measuring localized intracardiac impedance signals.  Changes in intracardiac impedance are evaluated, allowing for the assessment of changes in myocardial contractility during both diastolic and systolic phases of the cardiac cycle3. It’s reported that the CLS system integrates the pacemaker into the cardiovascular system, creating a negative feedback loop4, such that the change in the pacing rate then has a direct effect on the sensed parameter (i.e., myocardial contractility). The purported advantage of closed loop pacing is that the change in HR influences the sensed surrogate parameter directly5. For this reason, the Inos2+ CLS system is theorized to perform well in terms of proportionality and response times when compared to a healthy sinus response.
            The evaluation of the heart rate (HR) response to exercise is important for the assessment of the rate response algorithm of sensor-controlled pacemakers. The rate responsiveness should closely simulate the chronotropic responsiveness of a healthy heart.  New sensor based pacing systems are commonly evaluated using a mathematical model of the normal chronotropic response to exercise described by Wilkoff et al.6.  Thus, the purpose of the present study was to examine the effect the Inos2+ CLS pacing system on the cardiovascular responses during exercise and to compare these responses with those from a healthy age matched control group.

Materials and Methods

Study Group

            The subjects included 12 pacemaker patients and 12 healthy controls (Table I). Eight of the 12 pacemaker patients were completely chronotropically incompetent as defined by sinus bradycardia and block. Patients were recruited from a Pacemaker Clinic at a major city hospital and had previously been implanted with an Inos2+ CLS pacemaker (Biotronik, Inc.)  a minimum of four weeks prior to commencement of the study. The control subjects were age and sex matched with no history or clinical presentation of cardiovascular and/or pulmonary disease.  All subjects were ambulatory and able to perform a treadmill test and continued with their usual drug therapy during this study. The study complied with the Declaration of Helsinki and was approved by the Health Regions’ Research Ethics Board. All subjects provided written informed consent prior to entry into the study.

Pacemaker Programming

            The Inos2+ CLS pacemaker used a right ventricular impedance sensor to continually monitor the contractile state of the myocardium and converts this intrinsic information into an appropriate HR using the programmed lower and upper rates as endpoints. Specifically, the internal impedance sensor of the pacemaker measured the myocardial contractility eight times throughout each cardiac cycle to determine the contractility waveform. This new waveform was compared to a baseline waveform and the area defining the difference between the two waveforms was used to calculate the appropriate HR increase.
The pacemaker’s lower pacing rate (BR = basic rate) ranged from 45 to 60 beats.min-1, as determined from the patients’ clinical presentation. The pacemaker’s maximum sensor driven rate (MCLR = maximum closed loop rate) was set at 80 to 100% of the age-predicted maximum HR (calculated as 220 – age), depending on the patient’s daily activity, fitness level and disease status. If the patient had a history of exercise induced angina, the MCLR was set at least 10 beats.min-1 below the ischemic threshold. 

Exercise Testing

            Following five minutes of seated rest, measurements were recorded for all parameters. Another two minutes of standing rest was incorporated to allow the pacemaker algorithm to set the baseline in a standing pre-exercise position. Following, each subject performed a graded exercise test on a treadmill (Trackmaster, model #215, JAS MFG, Carrollton, TX, USA). The chronotropic assessment exercise protocol (CAEP) was performed to peak capacity or until symptoms limited any further progression of exercise intensity7. The CAEP is a maximal treadmill protocol designed specifically for the evaluation of rate-responsive pacemakers6,8. This protocol begins at 1.5 METs (1 MET = 3.5 mL and consists of two-minute stages with small increments of approximately 1 MET per stage for the first 10 minutes, after which it increases by 2 to 3 METs per stage. This allows most patients to complete several stages of exercise and tests the chronotropic response to submaximal exertion that falls within the range of many activities of daily living6.

Heart Rate

            A standard 12-lead ECG was recorded continuously using Merlin AMTM hardware (CardioComm Solutions, Inc., Victoria, BC, Canada). Following the test, beat-to-beat HR values were measured at 100 mm.sec-1 using GEMSTM and a custom Annoexport program (CardioComm Solutions, Inc., Victoria, BC, Canada, 2000). In the patient group, the HR origin was identified (e.g., paced, sensed or NSR = normal sinus rhythm) and only paced beats were used for analyses. For each stage of exercise, the HR was determined using an average of five beats from the last 10 seconds of each minute. Peak HR was determined using the HR value measured in the last 10 seconds prior to test termination. Post-exercise rates were determined using the same measurement method at three minutes into recovery. Additionally, HR was measured beat-to-beat for the initial two minutes of recovery and 5-second averages were plotted against recovery time in order to generate HR decay slopes for the two groups.

Metabolic Analysis

            Oxygen uptake (Vo2) and carbon dioxide production (Vco2) were recorded at rest, throughout exercise and during the three-minute recovery period. Expired gases were collected using the TrueMax 2400 metabolic measurement system (Parvo Medics Inc., Salt Lake City, UT, USA) and a Hans Rudolph 3813 heated pneumotach flow meter. The gas analysis system collected samples of oxygen (O2) and carbon dioxide (CO2) on a breath-by-breath basis and displayed 15-second averages to account for the variation typically present in breath-by-breath measurements. Because it has been suggested that the anaerobic threshold (AT) may be used as an objective measure of chronotropic function in pacemaker patients9, AT was calculated from the metabolic data using the V-slope method, where AT is defined as the point in which the relationship between Vco2 and Vo2 became non-linear10,11. Peak Vo2 was determined as the highest value calculated over a 30-second period11. Oxygen pulse (O2 Pulse) (mL O2.beat-1) was calculated as Vo2/HR for rest, each minute of exercise and minute three of recovery. This parameter is equal to the product of stroke volume (SV) and arterial-venous oxygen difference and was used as an indirect measure of SV11.

Hemodynamic Measurements

            Stroke volume was determined using an electrical impedance device (Minnesota Impedance Cardiograph, Model 304 B; Surcom Inc., Minneapolis, MN, USA), a Hewlett Packard phonocardiogram (model 21050A) and a 3-lead ECG recorder. The Bernstein equation12 was used to calculate cardiac output (Q) at rest, for each exercise stage and at three minutes post-exercise. Impedance cardiography has been widely used and validated as a non-invasive measure at rest and during exercise in post-myocardial infarct and pacemaker dependent patients with < 5% random error13-15. As well, Bernstein’s equation has become commonplace in impedance cardiography techniques as it has been shown to result in values consistent with previously developed equations16. Blood pressure (BP) was assessed using a mercury sphygmomanometer. Systolic (SBP) and diastolic blood pressure (DBP) was recorded at rest, for each exercise stage and during recovery. Mean arterial pressure (MAP) was calculated as DBP + 1/3 (SBP – DBP).


            Work rate (WR) was calculated in watts (W) for each subject at each stage of exercise using the formula17:

WR (W) = weight (kg) x 9.8 (m.sec-2) x speed (m.sec-1) x sin ø

where weight was the subject’s weight (kg), 9.8 (m.sec-2) was the force of gravity, speed was the treadmill speed (m.sec-1) and sin ø was the vertical displacement for a given horizontal displacement.

Heart rate to WR and Vo2 to WR ratios were calculated for each minute of exercise. Oxygen uptake and HR were displayed relative to WR and regression equations were calculated using lines of best fit. From this, the aerobic power slope was calculated as and expressed in The percent of HR reserve (%HRR) was calculated for each WR as:

where HRminute was the HR at each minute of exercise, HRrest was the programmed BR or resting HR for patients and controls respectively and HRmax was the programmed MCLR or peak HR for patients and controls respectively. 

Percent metabolic reserve (%MR) was calculated using MET levels measured with the gas analysis system as follows:

where METminute was the calculated MET level at each minute of exercise, METrest was the MET level at rest and METpeak was the MET level at peak exercise for patients and controls. The Chronotropic reserve index (CRI), defined as relationship between %HRR and %MR, was compared to the chronotropic response slope calculated by Wilkoff et al6 for the CAEP. This response was evaluated from rest to peak exercise, rest to the AT and from the AT to peak exercise.

Statistical Analysis

            Data analysis was performed using the Statistical Package for Social Sciences (SPSS 9.0, Chicago, IL) program. Data are expressed as mean ± standard deviation (SD).   A two-way repeated measures analysis of variance (ANOVA) was employed to investigate differences within and between groups. Data at rest, peak exercise and three minutes post-exercise were compared between groups using one-way ANOVA. Correlation-regression analysis was used to determine the relationship between Vo2, Q and HR for each group, as well as HR and VO2 to WR and %HRR to %MR. When regression lines were compared, a t-test was employed to test for a difference in slopes18. For all analyses, significance was set at p < 0.05 and 95% confidence intervals were calculated around several variables for purposes of comparison. 


            This study was completed on 12 patients (70 ± 9.5 years) and 12 age and sex matched controls (70.6 ± 4.8 years). There were no differences between the groups with respect to age, weight (patients = 77 ± 12 kg versus 71 ± 9 kg) or height (patients = 163 ± 12 cm versus 165 ± 12 cm). There were no significant differences in any of the parameters when seated versus upright rest were compared.  Resting Vo2 ( and DBP were higher (p < 0.05) in the control group (Table II). 

Table II. Physiologic measurements observed at rest, peak exercise and minute three of recovery for paced patients and healthy controls


Exercise Performance

            In the patient group, 11 of 12 tests were terminated due to volitional fatigue (one test was terminated due to angina). Six of the 12 patients exceeded their MCLR during the exercise test, with the pacemaker providing appropriate ventricular tracking. Non-paced HR data above the MCLR were excluded from analyses. For the control group, all tests were terminated due to volitional fatigue. The exercise duration was significantly (p < 0.05) shorter in the patient group (10.3 ± 2.8 minutes) versus the control group (12.5 ± 2.1 minutes).

Exercise Responses

            The mean correlation coefficient for HR:Vo2 was calculated to be r = 0.81 and 0.90 for the patient and control group respectively (p < 0.001). There was however, a wide range of slopes within each group, which may be attributed to differences in age, peak functional capacity or resting HR between individuals6,19. Additionally, there was a significant correlation (r = 0.71, p < 0.001) for Q:Vo2 for the entire subject pool (Figure 1). When Vo2 ( was plotted against WR, a positive linear correlation was observed for patients (r = 0.81) and controls (r = 0.78) (p < 0.05). Throughout exercise, the line of best fit defining the relationship between Vo2 and WR was consistently higher in the controls (Figure 2) (p < 0.001). However, a t-test indicated no difference between the slopes of the two lines (p > 0.05). The aerobic power slopes were calculated to be 0.13 ± 0.03 and 0.13 ± 0.04 for patients and controls respectively. The HR:WR ratio was also calculated for each subject at each minute of exercise. When these ratios were compared, no differences were found between the patients and controls (Figure 3). The slopes for HR to WR ratios were 0.29 ± 0.14 and 0.36 ± 0.11 for patient and control groups respectively.

Figure 1. Regression lines showing the relationship between cardiac output (Q) and oxygen uptake (Vo2) during submaximal exercise for paced patients (● ───) Q = 8.6    (Vo2) + 5.3, r = 0.81, p < 0.001; and healthy controls (○ ─ ─) Q = 5.8 (Vo2) + 6.7, r = 0.62, p < 0.001.  There were no significant differences in the slopes between groups (p > 0.05).


Figure 2. Regression lines showing the relationship between oxygen uptake (Vo2) and work rate (WR) during submaximal exercise for paced patients (● ───) Vo2 = 0.13 (WR) + 7.0, r = 0.81, p < 0.001; and healthy controls (○ ─ ─) Vo2 = 0.13 (WR) + 10.2, r = 0.78, p < 0.001. There were no significant differences in the slopes between groups (p > 0.05).

Figure 3. Regression lines showing the relationship between heart rate (HR) and work rate (WR) from rest to peak exercise for paced patients (● ───) HR = 0.29 (WR) + 105.4, r = 0.55, p < 0.001; and healthy controls (○ ─ ─) HR = 0.36 (WR) + 99.8, r = 0.67, p < 0.001. There were no significant differences in the slopes between groups (p > 0.05).

            The patient group reached their AT in 8.6 ± 2.9 minutes and the controls reached their AT in 9.1 ± 4.3 minutes.  A t-test indicated no between group differences in time to reach AT or AT expressed as a percent of peak Vo2. Further, Vo2 at AT was comparable for patients (0.88 ± 0.34 L.min-1) and controls (1.17 ± 0.43 L.min-1). The peak Vo2 ( was significantly higher in the control subjects (p < 0.05). At peak exercise, no differences were observed between the groups for any other parameters (Table II). 

Chronotropic Reserve Index

            The chronotropic reserve index (CRI) was defined as the relationship between %HRR and %MR. For the healthy control group, the slope from rest to peak exercise was 0.83 ± 2.02 and the y-intercept was 4.50 ± 13.0% with a correlation coefficient of r = 0.82 (p < 0.001). These finding were comparable to the Wilkoff CRI slope6 which was reported to be 0.94 ± 0.12 with a y-intercept of 4.58 ± 7.7%.  When data from rest to AT were analyzed, the slope was found to be 0.83 ± 0.26 and the y-intercept was 2.4 ± 11.6% with a correlation coefficient of r = 0.82 (p < 0.001).  The CRI correlation from AT to peak exercise was not significant (p > 0.05). 

            For the patient group, the CRI slope from rest to peak exercise was 0.77 ± 0.24 and the y-intercept was 8.95 ± 13.8% with a correlation coefficient of r = 0.81 (p < 0.001).  When data from rest to AT were analyzed, the slope was found to be 0.75 ± 0.21 and the y-intercept was 6.13 ± 8.7% with a correlation coefficient of r = 0.85 (p < 0.001) (Figure 4). The CRI from rest to peak exercise and from rest to AT was then compared to the findings of Wilkoff et al6. The slopes from both analyses fell within the 95% confidence intervals (0.94 ± [2 x 0.12] = 0.7 to 1.18) of healthy subjects who performed the CAEP in the original study6. Similarly, the y-intercepts were within 2 SD of the mean for normal subjects (-10.82 to 19.98). The CRI correlation data from AT to peak exercise was not significant (p > 0.05) for paced patients and as a result, was not compared to the Wilkoff CRI slope6 (Figure 4). 

Figure 4. Chronotropic response index (CRI) for paced patients (●, regression ─── and 95% confidence interval ─ ─) versus Wilkoff’s6 model (▬▬) for healthy subjects. The CRI was calculated from (A) rest to peak exercise: %HRR = 0.77 (%MR) + 8.98, r = 0.81, p < 0.001 and (B) rest to anaerobic threshold (AT): %HRR = 0.75 (%MR) + 6.13, r = 0.85, p < 0.001.  There was no difference in the slopes between patients and the healthy reference response model from rest to peak exercise (A) and from rest to AT (B) (p > 0.05).  The regression from AT to peak exercise (C) was not significant (p > 0.05) and was therefore not compared with the reference line. 

Exercise Recovery

            No group differences were observed for any parameters during recovery.  By minute three, all parameters had decreased (p < 0.05) relative to peak values, with the exception DBP (Table II). When HR decay was calculated, there was a significant (p < 0.001) correlation between the decrease in HR and recovery time for patients (r = 0.96) and controls (r = 0.88) (Figure 5). The slope of HR decay for the patients was -0.30 ± 0.07 and the y-intercept was 130.9 ± 4.8 beats.min-1.  The slope of HR decay for the healthy controls was -0.26 ± 0.11 and the y-intercept was 136.3 ± 7.6 beats.min-1. When the HR decay slopes were compared, no differences (p > 0.05) were observed between groups.

Figure 5. Regression lines showing the relationship between heart rate (HR) decay and recovery time from peak exercise (Time 0) through the first 120 seconds of recovery for paced patients (● ───) HR = -0.30 (recovery time) + 130.9, r = 0.96, p < 0.001; and healthy controls (○ ─ ─) HR = -0.26 (recovery time) + 136.2, r = 0.87, p < 0.001.  Data points represent 5 sec averages. There were no significant differences in the slopes between groups (p > 0.05).


            The purpose of this study was to assess the impact of a right ventricular impedance sensor driven pacemaker on cardiovascular responses to exercise and to compare these responses with those from a healthy age matched control group. At rest, throughout exercise and at peak exercise, Vo2 ( was consistently higher in the control group (Figure 2). However, no between group difference was observed in the slopes of the lines defining the overall relationship between Vo2:WR, suggesting the responses were similar for patients and controls. The patients in our study exercised for 10 ± 2.8 minutes while attaining a peak Vo2 of 15 ± 9  These results were similar to those reported in two previous studies on pacemaker patients20,21 but were lower than those observed in younger subjects6 and the healthy elderly22. The group of young, healthy subjects studied by Wilkoff et al.6 reached a peak MET level of 11.3 ± 2.4 during the CAEP.  In a study by Page et al.22, healthy elderly subjects exercised for 14.7 ± 2.9 minutes and reached peak  Vo2 of 28.7 (8.2 METs). 
            In a study by Freedman et al.23, the performance of paced patients closely resembled that of healthy subjects reaching stage 8 of the CAEP with a predicted peak MET level of 12.1. Dailey et al.24 also reported a higher peak Vo2 (1.61 ± 0.45 L.min-1) for paced patients (MV, dP/dtmax or SaO2 sensors) than was observed in the present study (1.1 ± 0.7 L.min-1). Similarly, Meine et al.9 reported a peak Vo2 of 24 ± 4 in a sample of pacemaker dependent patients. Possible reasons for the lower peak MET level achieved by the patients in our study could include the group’s advanced age25 or the MCLR having been programmed at less than the age-predicted maximum HR21.     
        The peak Vo2 observed for our patient group was consistent with those reported previously26,27.  Studies by Leung et al.27 and Haennel et al.26 had paced patients perform maximal exercise while programmed in one of three sensor modes (activity, QT interval and dual).  In these studies, the peak Vo2 reported for activity and dual sensor settings were consistent what we observed in our patient group. Further, Carmouche et al.21 reported treadmill exercise duration of 10.6 minutes in pacemaker patients, but Vo2 was reported in mL.min-1 without information on patients’ weight, thus precluding further comparison with our data. Kay20 found the maximum achieved Vo2 of pacemaker patients during the CAEP to be 13.2 ± 4.1 (3.7 ± 1.2 METs).
            The paced patients reached AT in 8.6 ± 2.9 minutes (~ 73% of peak Vo2) and the healthy controls reached AT in 9.1 ± 4.3 minutes (~ 69% of peak Vo2). These results compare favorably with the AT achieved at 75% of maximal Vo2 as reported by Carmouche et al.21, but were higher than reported in another study of normal subjects. Page et al.22 found that healthy elderly subjects reached AT at 65% of maximal Vo2 during CAEP exercise testing. Wasserman et al.11 states that the mean AT can be expected to occur between 55 and 65% of maximal Vo2 for individuals aged 40 to 70 years. The ratio of AT to maximal Vo2 increases as a function of age, with this value being higher for women than men.  For the mean age of our study group (70 years), we calculated the 95% confidence intervals of AT / maximal Vo2 as being 47 to 69% for men and 54 to 76% for women.  Therefore, the AT / maximal Vo2 ratio of 72% from our study was within 2 SD of the mean of healthy 70-year-old subjects.
            There were no differences in the AT or the Vo2 at AT between our two groups. Given that the AT represents a physiological breakpoint in the various cardiopulmonary parameters during exercise, we calculated the slopes below and above AT. The calculated aerobic power slopes for the patients and controls, from rest to AT, were 0.13 ± 0.03 and 0.13 ± 0.04 respectively. These slopes were similar to what was reported by Lewalter et al28 for healthy men and women (0.22 ± 0.09, suggesting an appropriate aerobic response for our patients up to AT. In the study by Lewalter et al.28, a 32% reduction in the slope above AT was reported (0.15 ± 0.07, whereas in the present study, the slope above AT was found to be 0.05 ± 0.20 equivalent to a mean decrease of approximately 38%.  These observations are consistent with previous results demonstrating that increases in Vo2 above the AT become smaller than the increases in WR29.
            The observed HR:WR slopes for our patients (0.29 ± 0.14 beats.min-1.watt-1) and controls (0.36 ± 0.11 beats.min-1.watt-1) were comparable to a slope reported for healthy men (0.33 ± 0.14 beats.min-1.watt-1)28.  The present data suggests that the pacemaker yielded a HR response consistent with that seen in a healthy population for increments in metabolic demand. Further, our findings are consistent with a study by Malinowski2 who reported that a CLS group demonstrated a HR response that was consistently similar to a control group across a variety of tasks including slow and fast walking, climbing and descending stairs, arm movements and cognitive challenges.
            From rest to both AT and peak exercise, the patient CRI slope was found to be comparable to the CAEP reference slope6 (Figure 4, A and B), suggesting that the CLS pacemaker response was proportional to increments in exercise load.  At workloads above the AT, the CRI slope for the patients indicated that %HRR did not statistically correlate with %MR, although a decrease in slope was apparent (see Figure 4, C).  This reduction in the slope above AT may have contributed to the lower rest to peak exercise correlation coefficient (r = 0.81) when compared with rest to AT data (r = 0.85). Poor correlations between HR and WR above the AT have been previously reported with other sensors27,28.  Given that a low CRI correlation above AT was also observed in our control group suggests that either a reduction in CRI slope above AT is a normal physiologic response or, the methodological analysis is not sensitive enough to elucidate the underlying physiologic phenomenon. Using healthy young subjects, researchers30 have demonstrated that the HR slope in relation to WR does deflect downward at approximately 90% of maximal HR or 70% of maximal Vo2. It has been further demonstrated that this phenomenon corresponds with the AT31,32. Thus, if the current method of analysis for chronotropic responses above AT was appropriate, then the present findings would further implicate the AT as an important signaling mechanism to consider during rate response pacing.  
            Similarities in the HR decay pattern between our two groups indicate an appropriate paced HR recovery profile (Figure 5).  The profile of HR decay has been shown to influence hemodynamics during exercise recovery33 however, recovery algorithms are not regulated in the same manner as rate responsive algorithms. In the present study, following MCLR pacing and upon termination of movement, there was a progressive decay in pacing at a rate of 1 beat.min-1 every two cardiac cycles.  This slope factor was non-physiologic in nature and independent of myocardial contractility. Lau et al.33 demonstrated that a compensatory SV response occurs during early recovery to ensure adequate Q during an abrupt HR decay (immediate decrease to 70 beats.min-1) versus a modulated decay (progressive decrease to 70 beats.min-1) following maximal exercise (at 130 beats.min-1). Thus, the similarities in Q and O2 Pulse responses at minute three of recovery for our study patients (see Table II) suggests an appropriate SV response that may in part have been mediated by the rate decay.  The same study by Lau et al.33 also demonstrated that an abrupt HR rate decay significantly increased SBP and decreased DBP relative to a modulated HR decay.  In the present study, similarities in arterial pressure responses during recovery (see Table II) would indicate that inappropriate baroreceptor stimulation did not occur, further implying that the initial HR rate decay appeared to be physiologically appropriate33
            Dynamics of myocardial contractile force reflect control signals from the circulatory centres.  Because the right ventricular impedance sensor driven pacemaker is theorized to use the intrinsic regulatory mechanism of the circulatory centres to control the rate response of the pacemaker, this method of rate response is considered to be closed loop. As a consequence of the internal feedback loop, the Inos2+ CLS system is expected to provide an appropriate rate response to exercise, as well as to account for each individual’s disease state and physical condition34. Even in those patients with dysfunctional sinus nodes or electrical pathways, neural control mechanisms attempt to control Q by varying inotropy. Earlier versions of this pacemaker showed the rate response to be highly correlated with control groups during both physical and mental stress challanges34-36. The results of the present study indicate that the Inos2+ CLS pacemaker was efficacious during incremental exercise and it would further appear that the sensor responded appropriately to metabolic demand.  However, the pacemaker was not equipped to report measured cardiac contractility and as such, precludes specific comments on this system’s responsiveness to cardiac dynamics and thus, the degree to which this truly was a closed loop system.


            The use of the pacemaker’s programmed settings for the MCLR in place of age-predicted maximum HR in the formulas may have affected the results.  The accuracy of the use of age-predicted maximum HR in an older or paced population has been questioned by others21-23 and may have been responsible for the lower than predicted MET levels. It is uncertain whether similar results would be have observed if the MCLR was set at each patient’s age-predicted maximum HR.  Evaluating the rate-responsiveness of a pacemaker from rest to maximal exercise requires that the patient exercise to maximal capacity. Although our study patients were encouraged to exercise as long as they could, and all reached anaerobic threshold, we cannot be positive that all were motivated enough to achieve their maximal exercise workload. 
            The pacemakers were programmed to elicit 100% ventricular pacing throughout exercise, however, it was not possible to ensure 100% atrial pacing, as some patients were not completely dependent on the pacemaker. To address this limitation only paced HR values were included in the data analysis. The pacemaker programming of BR and MCLR was tailored to each patient.  The purpose of this programming strategy was to closely mimic the clinical application. As a result the MCLR was typically set lower than 100% of maximum HR and the BR was set according to physician recommendations, in keeping with typical programming practices. The algorithm responds as a slope within these lower and upper values, and as such, the responses observed may have been slightly blunted compared to what may have been observed with MCLR programmed at 100% of maximum HR. However, more aggressive programming of upper rate limits is not the norm, thus, the response of the pacemaker was studied within practically applicable limits.  Furthermore, the algorithm works such that it moderates the slope factor of the rate response according to the degree of responsiveness of the individual’s myocardial contractility change. 
            In summary, the results of the present study indicate the right ventricular impedance sensor driven pacemaker delivered pacing rates that resulted in overall cardiovascular responses comparable to that of healthy individuals throughout incremental exercise. Further, the pacemaker provided appropriate rate response up to the anaerobic threshold. Additionally, the rate decay algorithm appeared to result in physiologically appropriate hemodynamics during the initial minutes of recovery.  


1. Lu B, Wood M, Ellenbogen KA, Valenta HL, Jr. Correlation of an invasive measure of right ventricular pressure and mean arterial pressure. Biomed Sci Instrum 1990;26:137-40.

2. Malinowski K. Interindividual comparison of different sensor principles for rate adaptive pacing. Pacing Clin Electrophysiol 1998;21:2209-13.

3  Guyomar Y, Graux P, Nicolas E et al. Inos2+ DR and neurocardiogenic syncope: First experiences in four cases. Progress in Biomedical Research 1998;3:152-155.

4. Osswald S, Cron T, Gradel C, Hilti P, Lippert M, Strobel J, Schaldach M, Buser P, Pfisterer M. Closed-loop stimulation using intracardiac impedance as a sensor principle: correlation of right ventricular dP/dtmax and intracardiac impedance during dobutamine stress test. Pacing Clin Electrophysiol 2000;23:1502-8.

5. Ovsyshcher I, Guetta V, Bondy C, Porath A. First derivative of right ventricular pressure, dP/dt, as a sensor for a rate adaptive VVI pacemaker: initial experience. Pacing Clin Electrophysiol 1992;15:211-8.

6. Wilkoff B, Corey J, Blackburn G. A mathematical model of the cardiac chronotropic response to exercise. Journal of Electrophysiology 1989;3:176-180.

7. American College of Sports Medicine. ACSM’s Guidelines for Exercise Testing and Prescription. New York: Lippincott Williams & Wilkins, 2000.

8. Alt E. A protocol for treadmill and bicycle stress testing designed for pacemaker patients. Stimucoer 1987;15:33-35.

9. Meine M, Achtelik M, Hexamer M, Kloppe A, Werner J, Trappe HJ. Assessment of the chronotropic response at the anaerobic threshold: an objective measure of chronotropic function. Pacing Clin Electrophysiol 2000;23:1457-67.

10. Beaver WL, Wasserman K, Whipp BJ. A new method for detecting anaerobic threshold by gas exchange. J Appl Physiol 1986;60:2020-7.

11. Wasserman K, Hansen J, Sue D, Whipp B, Casaburi R. Principles of exercise testing and interpretation. Philidelphia.: Lea & Febiger, 1994.

12. Bernstein DP. A new stroke volume equation for thoracic electrical bioimpedance: theory and rationale. Crit Care Med 1986;14:904-9.

13. Hetherington M, Haennel R, Teo KK, Kappagoda T. Importance of considering ventricular function when prescribing exercise after acute myocardial infarction. Am J Cardiol 1986;58:891-5.

14. Teo KK, Hetherington MD, Haennel RG, Greenwood PV, Rossall RE, Kappagoda T. Cardiac output measured by impedance cardiography during maximal exercise tests. Cardiovasc Res 1985;19:737-43.

Ovsyshcher I, Gross JN, Blumberg S, Furman S. Precision of impedance cardiography measurements of cardiac output in pacemaker patients. Pacing Clin Electrophysiol 1992;15:1923-6.

16. Miles DS, Gotshall RW. Impedance cardiography: noninvasive assessment of human central hemodynamics at rest and during exercise. Exerc Sport Sci Rev 1989;17:231-63.

Jones N, Campbell E. Clinical Exercise Testing. Toronto ON: W.B. Saunders, 1982.

18. Zar J. Biostatistical Analysis. New Jersey: Prentice Hall, 1999.

Astrand I. Aerobic work capacity in men and women with special reference to age. Acta Physiol Scand 1960;49(Suppl 169):1-92.

20. Kay GN. Quantitation of chronotropic response: comparison of methods for rate-modulating permanent pacemakers. J Am Coll Cardiol 1992;20:1533-41.

Carmouche DG, Bubien RS, Kay GN. The effect of maximum heart rate on oxygen kinetics and exercise performance at low and high workloads. Pacing Clin Electrophysiol 1998;21:679-86.

Page E, Bonnet JL, Durand C. Comparison of metabolic expenditure during CAEP versus a test adapted to aerobic capacity (Harbor test) in elderly healthy individuals. Pacing Clin Electrophysiol 2000;23:1772-7.

23. Freedman RA, Hopper DL, Mah J, Hummel J, Wilkoff BL. Assessment of pacemaker chronotropic response: implementation of the Wilkoff mathematical model. Pacing Clin Electrophysiol 2001;24:1748-54.

24. Dailey SM, Bubien RS, Kay GN. Effect of chronotropic response pattern on oxygen kinetics. Pacing Clin Electrophysiol 1994;17:2307-14.

25. Wasserman K, Hansen J, Sue D, Whipp B, Casaburi R. Pathophysiology of disorders limiting exercise. Principles of exercise testing and interpretation. Philidelphia.: Lea & Febiger, 1994:80-94.

26. Haennel RG, Logan T, Dunne C, Burgess J, Busse E. Effects of sensor selection on exercise stroke volume in pacemaker dependent patients. Pacing Clin Electrophysiol 1998;21:1700-8.

27. Leung SK, Lau CP, Wu CW, Leung WH, Tai YT, Lee I, Chow YH. Quantitative comparison of rate response and oxygen uptake kinetics between different sensor modes in multisensor rate adaptive pacing. Pacing Clin Electrophysiol 1994;17:1920-7.

28. Lewalter T, Rickli H, MacCarter D, Schwartze P, Schimpf R, Schumacher B, Jung W, Candinas R, Luderitz B. Oxygen uptake to work rate relation throughout peak exercise in normal subjects: relevance for rate adaptive pacemaker programming. Pacing Clin Electrophysiol 1999;22:769-75.

29. Pendergast D, Cerretelli P, Rennie DW. Aerobic and glycolytic metabolism in arm exercise. J Appl Physiol 1979;47:754-60.

30. Hofmann P, Bunc V, Leitner H, Pokan R, Gaisl G. Heart rate threshold related to lactate turn point and steady-state exercise on a cycle ergometer. Eur J Appl Physiol Occup Physiol 1994;69:132-9.

31. Hofmann P, Pokan R, von Duvillard SP, Seibert FJ, Zweiker R, Schmid P. Heart rate performance curve during incremental cycle ergometer exercise in healthy young male subjects. Med Sci Sports Exerc 1997;29:762-8.

32. Pokan R, Hofmann P, Preidler K, Leitner H, Dusleag J, Eber B, Schwaberger G, Fuger GF, Klein W. Correlation between inflection of heart rate/work performance curve and myocardial function in exhausting cycle ergometer exercise. Eur J Appl Physiol Occup Physiol 1993;67:385-8.

33. Lau CP, Wong CK, Cheng CH, Leung WH. Importance of heart rate modulation on the cardiac hemodynamics during postexercise recovery. Pacing Clin Electrophysiol 1990;13:1277-85.

34. Zecchi P, Bellocci F, Ravazze A, Diotallevi P, Audoglio R. Closed Loop Stimulation: A new philosophy of pacing. Progress in Biomedical Research 2000;5:126-131.

35. Nishioka S, Martinelli M, Lopes H, Contim F, Costa R. Neurohumoral behavior in cardiac pacemaker patients controlled by the autonomic nervous system with closed loop stimulation. Progress in Biomedical Research 2000;5:284-291.

36. Clementy J, Garrigue S, Gencel L, Jais P, Shah D, Le Metayer P, Hocini M, Haissaguerre M. Evaluation of the chronotropic function of a closed-loop rate-responsive dual chamber driven by contractility. Progress in Biomedical Research. 1999;3:18-22.

Home Page Current Issue List of Editors