I'm wondering whether average heart rate, acting as a measure of total exertion, might be a good measure of ME/CFS severity.
Step count and upright time don't really disambiguate between type of activity performed. For example, slow walking, normal walking, and running all count the same when tracking steps. Heart rate changes are more directly proportional to the magnitude of exertion - walking fast for 10 steps would count more than walking slowly for 10 steps.
And more forms of exertion would be factored into a single metric. Sitting upright and walking would both increase heart rate. And while the increase from cognitive exertion, such as reading, might be minimal at best [1], studies have at least shown that chess increases heart rate [2,3]. I'm not sure whether this is due to the high intellectual demand or the stress of the activity, but I think people report that both of these can result in PEM so it might be relevant either way.
It probably wouldn't be very useful to directly compare average heart rate between different people because people vary in their baseline heart rate. Thus, I would propose that instead of tracking average daily heart rate, one would track average heart rate above each person's baseline.
Maybe for each day in each person, one would determine the baseline HR by averaging two hours worth of the lowest consecutive HR values, which presumably would be during sleep and correspond to HR during zero exertion. For a given day, if the baseline is 60 bpm and the daily average is 70 bpm, then the person performed 10 bpm of "excess exertion" on average during this day. They would count as more severe than someone with, say, an excess of 15 bpm on average.
I'm interested in whether this "excess exertion" based on HR might act as a more accurate measure for trial outcomes and severity stratification than using step count or subjective severity scales.
Step count and upright time don't really disambiguate between type of activity performed. For example, slow walking, normal walking, and running all count the same when tracking steps. Heart rate changes are more directly proportional to the magnitude of exertion - walking fast for 10 steps would count more than walking slowly for 10 steps.
And more forms of exertion would be factored into a single metric. Sitting upright and walking would both increase heart rate. And while the increase from cognitive exertion, such as reading, might be minimal at best [1], studies have at least shown that chess increases heart rate [2,3]. I'm not sure whether this is due to the high intellectual demand or the stress of the activity, but I think people report that both of these can result in PEM so it might be relevant either way.
It probably wouldn't be very useful to directly compare average heart rate between different people because people vary in their baseline heart rate. Thus, I would propose that instead of tracking average daily heart rate, one would track average heart rate above each person's baseline.
Maybe for each day in each person, one would determine the baseline HR by averaging two hours worth of the lowest consecutive HR values, which presumably would be during sleep and correspond to HR during zero exertion. For a given day, if the baseline is 60 bpm and the daily average is 70 bpm, then the person performed 10 bpm of "excess exertion" on average during this day. They would count as more severe than someone with, say, an excess of 15 bpm on average.
I'm interested in whether this "excess exertion" based on HR might act as a more accurate measure for trial outcomes and severity stratification than using step count or subjective severity scales.
1. Thissen, Birte A. K., et al. “At the Heart of Optimal Reading Experiences: Cardiovascular Activity and Flow Experiences in Fiction Reading.” Reading Research Quarterly, Oct. 2021, https://doi.org/10.1002/rrq.448.
2. Leone, María J., et al. “The Tell-Tale Heart: Heart Rate Fluctuations Index Objective and Subjective Events during a Game of Chess.” Frontiers in Human Neuroscience, vol. 6, 2012, https://doi.org/10.3389/fnhum.2012.00273. Accessed 2 Nov. 2019.
3. Troubat, Nicolas, et al. “The Stress of Chess Players as a Model to Study the Effects of Psychological Stimuli on Physiological Responses: An Example of Substrate Oxidation and Heart Rate Variability in Man.” European Journal of Applied Physiology, vol. 105, no. 3, Nov. 2008, pp. 343–49, https://doi.org/10.1007/s00421-008-0908-2.
2. Leone, María J., et al. “The Tell-Tale Heart: Heart Rate Fluctuations Index Objective and Subjective Events during a Game of Chess.” Frontiers in Human Neuroscience, vol. 6, 2012, https://doi.org/10.3389/fnhum.2012.00273. Accessed 2 Nov. 2019.
3. Troubat, Nicolas, et al. “The Stress of Chess Players as a Model to Study the Effects of Psychological Stimuli on Physiological Responses: An Example of Substrate Oxidation and Heart Rate Variability in Man.” European Journal of Applied Physiology, vol. 105, no. 3, Nov. 2008, pp. 343–49, https://doi.org/10.1007/s00421-008-0908-2.
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