Accuracy of Heart Rate Measurement Using Smartphones During Treadmill Exercise in Male Patients With Ischemic Heart Disease.
10.5535/arm.2017.41.1.129
- Author:
Eun Sun LEE
1
;
Jin Seok LEE
;
Min Cheol JOO
;
Ji Hee KIM
;
Se Eung NOH
Author Information
1. Department of Rehabilitation Medicine and Institute of Wonkwang Medical Science, Wonkwang University School of Medicine, Iksan, Korea. wonrehab@wonkwang.ac.kr
- Publication Type:Original Article
- Keywords:
Heart diseases;
Rehabilitation;
Heart rate;
Smartphone;
Exercise
- MeSH:
Electrocardiography, Ambulatory;
Fingers;
Hand;
Heart Diseases;
Heart Rate*;
Heart*;
Humans;
Male*;
Myocardial Infarction;
Myocardial Ischemia*;
Photoplethysmography;
Rehabilitation;
Smartphone*
- From:Annals of Rehabilitation Medicine
2017;41(1):129-137
- CountryRepublic of Korea
- Language:English
-
Abstract:
OBJECTIVE: To evaluate the accuracy of a smartphone application measuring heart rates (HRs), during an exercise and discussed clinical potential of the smartphone application for cardiac rehabilitation exercise programs. METHODS: Patients with heart disease (14 with myocardial infarction, 2 with angina pectoris) were recruited. Exercise protocol was comprised of a resting stage, Bruce stage II, Bruce stage III, and a recovery stage. To measure HR, subjects held smartphone in their hands and put the tip of their index finger on the built-in camera for 1 minute at each exercise stage such as resting stage, Bruce stage II, Bruce stage III, and recovery stage. The smartphones recorded photoplethysmography signal and HR was calculated every heart beat. HR data obtained from the smartphone during the exercise protocol was compared with the HR data obtained from a Holter electrocardiography monitor (control). RESULTS: In each exercise protocol stage (resting stage, Bruce stage II, Bruce stage III, and the recovery stage), the HR averages obtained from a Holter monitor were 76.40±12.73, 113.09±14.52, 115.64±15.15, and 81.53±13.08 bpm, respectively. The simultaneously measured HR averages obtained from a smartphone were 76.41±12.82, 112.38±15.06, 115.83±15.36, and 81.53±13 bpm, respectively. The intraclass correlation coefficient (95% confidence interval) was 1.00 (1.00–1.00), 0.99 (0.98–0.99), 0.94 (0.83–0.98), and 1.00 (0.99–1.00) in resting stage, Bruce stage II, Bruce stage III, and recovery stage, respectively. There was no statistically significant difference between the HRs measured by either device at each stage (p>0.05). CONCLUSION: The accuracy of measured HR from a smartphone was almost overlapped with the measurement from the Holter monitor in resting stage and recovery stage. However, we observed that the measurement error increased as the exercise intensity increased.
