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"Mi Rim Suh"

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"Mi Rim Suh"

Corrigendum

Correction: Accuracy and Validity of Commercial Smart Bands for Heart Rate Measurements During Cardiopulmonary Exercise Test
Chul Kim, Seung Hyoun Kim, Mi Rim Suh
Ann Rehabil Med 2023;47(1):78-78.   Published online February 28, 2023
DOI: https://doi.org/10.5535/arm.22050.e

Citations

Citations to this article as recorded by  
  • Validation of Wearable Digital Devices for Heart Rate Measurement During Exercise Test in Patients With Coronary Artery Disease
    Chul Kim, Jun Hyeong Song, Seung Hyoun Kim
    Annals of Rehabilitation Medicine.2023; 47(4): 261.     CrossRef
  • 4,077 View
  • 60 Download
  • 1 Crossref
Original Article

Cardiopulmonary rehabilitation

Accuracy and Validity of Commercial Smart Bands for Heart Rate Measurements During Cardiopulmonary Exercise Test
Chul Kim, Seung Hyoun Kim, Mi Rim Suh
Ann Rehabil Med 2022;46(4):209-218.   Published online August 31, 2022
DOI: https://doi.org/10.5535/arm.22050
Objective
To assess the accuracies and validities of popular smart bands for heart rate (HR) measurement in cardiovascular disease (CVD) patients during a graded exercise test (GXT).
Methods
Seventy-eight patients were randomly assigned to wear two different smart bands out of three possible choices: Samsung Galaxy Fit 2, Xiaomi Mi Band 5, or Partron PWB-250 on each wrist. A 12-lead exercise electrocardiogram (ECG) and patch-type single-lead ECG were used to assess the comparative HR accuracy of the smart bands. The HR was recorded during the GXT using the modified Bruce protocol.
Results
The concordance correlation coefficients (rc) were calculated to provide a measure of agreement between each device and the ECG. In all conditions, the Mi Band 5 and Galaxy Fit 2’ correlations were rc>0.90, while the PWB-250 correlation was rc=0.58 at rest. When evaluating the accuracy according to the magnitude of HR, all smart bands performed well (rc>0.90) when the HR was below 100 but accuracy tended to decrease with higher HR values.
Conclusion
This study showed that the three smart bands had a high level of accuracy for HR measurements during low-intensity exercise. However, during moderate-intensity and high-intensity exercise, all the three smart bands performed less accurately. Further studies are needed to find a more optimal smart band for HR measurement that can be used for precise HR monitoring during formal cardiac rehabilitation exercise training, including at high and maximal intensity (Clinical Trial Registration No. cris.nih.go.kr/KCT0007036).

Citations

Citations to this article as recorded by  
  • Validation of the Use of a Smart Band in Recording Spatiotemporal Gait Parameters in the 6-Minute Walk Test
    Rosa María Ortiz-Gutiérrez, José Javier López-Marcos, José Luis Maté-Muñoz, Paloma Moreta-de-Esteban, Patricia Martín-Casas
    Sensors.2025; 25(8): 2621.     CrossRef
  • Validity of Heart Rate Measurement Using Wearable Devices During Cardiopulmonary Exercise Testing in Patients With Cardiovascular Disease: Prospective Pilot Validation Study
    Kazufumi Kitagaki, Yuji Hongo, Rie Futai, Takeshi Hasegawa, Hiroshi Morikawa, Hisashi Shimoyama
    JMIR Cardio.2025; 9: e77911.     CrossRef
  • İŞE BAĞLI DİNLENME SÜRELERİNİN MAKİNE ÖĞRENMESİ İLE TAHMİN EDİLMESİ
    Melis Türksever, Emin Kahya, N. Fırat Özkan
    Endüstri Mühendisliği.2025; 36(3): 367.     CrossRef
  • The Accessibility and Effect of Cardiac Rehabilitation in COVID-19 Pandemic Era
    Chul Kim, Jun Hyeong Song, Seung Hyoun Kim
    Annals of Rehabilitation Medicine.2024; 48(4): 249.     CrossRef
  • An Evaluation of the Effect of App-Based Exercise Prescription Using Reinforcement Learning on Satisfaction and Exercise Intensity: Randomized Crossover Trial
    Cailbhe Doherty, Rory Lambe, Ben O’Grady, Diarmuid O’Reilly-Morgan, Barry Smyth, Aonghus Lawlor, Neil Hurley, Elias Tragos
    JMIR mHealth and uHealth.2024; 12: e49443.     CrossRef
  • Women’s Involvement in Steady Exercise (WISE): Study Protocol for a Randomized Controlled Trial
    Irene Ferrando-Terradez, Lirios Dueñas, Ivana Parčina, Nemanja Ćopić, Svetlana Petronijević, Gianfranco Beltrami, Fabio Pezzoni, Constanza San Martín-Valenzuela, Maarten Gijssel, Stefano Moliterni, Panagiotis Papageorgiou, Yelko Rodríguez-Carrasco
    Healthcare.2023; 11(9): 1279.     CrossRef
  • 11,601 View
  • 153 Download
  • 8 Web of Science
  • 6 Crossref
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