• KARM
  • Contact us
  • E-Submission
ABOUT
ARTICLE TYPES
BROWSE ARTICLES
AUTHOR INFORMATION

Page Path

4
results for

"Seung Hyoun Kim"

Filter

Article category

Keywords

Publication year

Authors

Funded articles

"Seung Hyoun Kim"

Original Articles

Cardiopulmonary rehabilitation

The Accessibility and Effect of Cardiac Rehabilitation in COVID-19 Pandemic Era
Chul Kim, Jun Hyeong Song, Seung Hyoun Kim
Ann Rehabil Med 2024;48(4):249-258.   Published online July 30, 2024
DOI: https://doi.org/10.5535/arm.240021
Objective
To prospectively compare the efficacy of conventional center-based cardiac rehabilitation (CBCR) and home-based cardiac rehabilitation (HBCR) during the coronavirus disease 2019 (COVID-19) pandemic.
Methods
Ninety Patients were divided into HBCR and CBCR groups based on cardiovascular risk stratification and individual preference. The CBCR group performed supervised in-hospital exercise training 2–3 times/week and subsequent self-exercise at home. The HBCR group performed self-exercise at home after one or two sessions of exercise education. The cardiopulmonary exercise test results at baseline and those at the 3-, 6-, and 12-month follow-ups were analyzed as primary outcome.
Results
The peak oxygen consumption (peak VO2, mL/kg/min) in the CBCR group was 20.1 and 24.0 at baseline and 12 months, respectively, showing significant improvement (p=0.006). In the HBCR group, it only increased from 24.4 to 25.5, showing suboptimal improvement. A significant increase in the Korean activity scale/index was confirmed only in the CBCR group (p=0.04). The cardiovascular outcome did not differ between the two groups, nor did the dropout rate or demographic factors.
Conclusion
During the COVID-19 pandemic, only CBCR was associated with a significant improvement in peak VO2 and physical activity levels, a finding that differs from those of other studies and seems to be affected by COVID-19. Therefore, in situations where the importance of HBCR is emphasized, it is essential to introduce measures to monitor and enhance exercise adherence among participants.

Citations

Citations to this article as recorded by  
  • Prognostic Factors for Responders of Home-Based Pulmonary Rehabilitation—Secondary Analysis of a Randomized Controlled Trial
    Chul Kim, Hee-Eun Choi, Chin Kook Rhee, Jae Ha Lee, Ju Hyun Oh, Jun Hyeong Song
    Healthcare.2025; 13(3): 308.     CrossRef
  • Cardiovascular disease prevention and management in COVID-19: a clinical consensus statement of the European Association of Preventive Cardiology, the European Association of Cardiovascular Imaging, the Association of Cardiovascular Nursing & Allied Profe
    Vassilios S Vassiliou, Vasiliki Tsampasian, Maria Luiza Luchian, Flavio D’Ascenzi, Fabrizio D’Ascenzo, Marc R Dweck, Javier Escaned, Sabiha Gati, Martin Halle, Konstantinos C Koskinas, Lis Neubeck, Michael Papadakis, Steffen E Petersen, Arsen Ristic, Marc
    European Journal of Preventive Cardiology.2025;[Epub]     CrossRef
  • 6,356 View
  • 58 Download
  • 2 Web of Science
  • 2 Crossref

Cardiopulmonary rehabilitation

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
Ann Rehabil Med 2023;47(4):261-271.   Published online August 4, 2023
DOI: https://doi.org/10.5535/arm.23019
Objective
To assess the accuracy of recently commercialized wearable devices in heart rate (HR) measurement during cardiopulmonary exercise test (CPX) under gradual increase in exercise intensity, while wearable devices with HR monitors are reported to be less accurate in different exercise intensities.
Methods
CPX was performed for patients with coronary artery disease (CAD). Twelve lead electrocardiograph (ECG) was the gold standard and Apple watch 7 (AW7), Galaxy watch 4 (GW4) and Bio Patch Mobicare 200 (MC200) were applied for comparison. Paired absolute difference (PAD), mean absolute percentage error (MAPE) and intraclass correlation coefficient (ICC) were evaluated for each device.
Results
Forty-four participants with CAD were included. All the devices showed MAPE under 2% and ICC above 0.9 in rest, exercise and recovery phases (MC200=0.999, GW4=0.997, AW7=0.998). When comparing exercise and recovery phase, PAD of MC200 and AW7 in recovery phase were significantly bigger than PAD of exercise phase (p<0.05). Although not significant, PAD of GW4 tended to be bigger in recovery phase, too. Also, when stratified by HR 20, ICC of all the devices were highest under HR of 100, and ICC decreased as HR increased. However, except for ICC of GW4 at HR above 160 (=0.867), all ICCs exceeded 0.9 indicating excellent accuracy.
Conclusion
The HR measurement of the devices validated in this study shows a high concordance with the ECG device, so CAD patients may benefit from the devices during high-intensity exercise under conditions where HR is measured reliably.

Citations

Citations to this article as recorded by  
  • The accuracy of Apple Watch measurements: a living systematic review and meta-analysis
    Rory Lambe, Maximus Baldwin, Ben O’Grady, Moritz Schumann, Brian Caulfield, Cailbhe Doherty
    npj Digital Medicine.2026;[Epub]     CrossRef
  • Is my smartwatch a valid witness? A systematic review and meta-analysis
    Marcello Sicbaldi, Laura Bartoli, Jose Albites-Sanabria, Ilaria D’Ascanio, Alessandro Silvani, Lorenzo Chiari, Alberto Camon, Luca Palmerini
    Forensic Science International.2026; 384: 112901.     CrossRef
  • Prognostic Factors for Responders of Home-Based Pulmonary Rehabilitation—Secondary Analysis of a Randomized Controlled Trial
    Chul Kim, Hee-Eun Choi, Chin Kook Rhee, Jae Ha Lee, Ju Hyun Oh, Jun Hyeong Song
    Healthcare.2025; 13(3): 308.     CrossRef
  • Wearable Devices for Exercise Prescription and Physical Activity Monitoring in Patients with Various Cardiovascular Conditions
    Tasuku Terada, Matheus Hausen, Kimberley L. Way, Carley D. O’Neill, Isabela Roque Marçal, Paul Dorian, Jennifer L. Reed
    CJC Open.2025; 7(5): 695.     CrossRef
  • Apple watch accuracy in monitoring health metrics: a systematic review and meta-analysis
    Ju-Pil Choe, Minsoo Kang
    Physiological Measurement.2025; 46(4): 04TR01.     CrossRef
  • Continuous heart rate measurements in patients with cardiac disease: Device comparison and development of a novel artefact removal procedure
    Paulien Vermunicht, Katsiaryna Makayed, Christophe Buyck, Lieselotte Knaepen, Juan Sebastian Piedrahita Giraldo, Sebastiaan Naessens, Wendy Hens, Emeline Van Craenenbroeck, Kris Laukens, Lien Desteghe, Hein Heidbuchel
    DIGITAL HEALTH.2025;[Epub]     CrossRef
  • Evaluating the Accuracy of Low-Cost Wearable Sensors for Healthcare Monitoring
    Tatiana Pereira Filgueiras, Pedro Bertemes-Filho, Fabrício Noveletto
    Micromachines.2025; 16(7): 791.     CrossRef
  • Validation of heart rate measured by the consumer-level wearable device Fitbit: a cross-sectional observational study
    Daisuke Higuchi, Yuko Takahashi, Shigeya Tanaka, Yosuke Tomita
    Journal of Physical Therapy Science.2025; 37(11): 561.     CrossRef
  • Evaluation of ECG Waveform Accuracy in the CardioBAN Wearable Device: An Initial Analysis
    Inês Escrivães, Diogo Lopes, João L. Vilaça, Leonor Varela-Lema, Pedro Morais
    Applied Sciences.2025; 15(24): 13143.     CrossRef
  • Analysis of a Medically Certified, Wrist-Worn Sensor for the Assessment of Heart Rate and Energy Expenditure During Daily Activities in Patients With Chronic Heart Failure or Coronary Artery Disease and Recreational Athletes: Validation Study
    Ignace L J De Lathauwer, Valerie A A van Es, Mayke M C J van Leunen, Steven Onkelinx, Rutger W M Brouwers, Danny A J P van de Sande, Mathias Funk, Hareld M C Kemps
    JMIR Cardio.2025; 9: e69343.     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
  • Assessment of Samsung Galaxy Watch4 PPG-Based Heart Rate During Light-to-Vigorous Physical Activities
    Caíque Santos Lima, Felipe Capiteli Bertocco, José Igor Vasconcelos de Oliveira, Thiago Mattos Frota de Souza, Emely Pujólli da Silva, Fernando J. Von Zuben
    IEEE Sensors Letters.2024; 8(7): 1.     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
  • The eTRIMP method for bodybuilding training load assessment: A review with a case study
    Fernandes Haniel
    Annals of Musculoskeletal Medicine.2023; 7(2): 016.     CrossRef
  • Recommendations for Measurement of Bodybuilding Internal Training Load by eTRIMP Method
    Haniel Fernandes
    Journal of Sports Medicine and Therapy.2023; 8(4): 051.     CrossRef
  • 16,878 View
  • 170 Download
  • 13 Web of Science
  • 15 Crossref

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
  • 4,147 View
  • 61 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  
  • Is my smartwatch a valid witness? A systematic review and meta-analysis
    Marcello Sicbaldi, Laura Bartoli, Jose Albites-Sanabria, Ilaria D’Ascanio, Alessandro Silvani, Lorenzo Chiari, Alberto Camon, Luca Palmerini
    Forensic Science International.2026; 384: 112901.     CrossRef
  • 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
  • 11,768 View
  • 160 Download
  • 8 Web of Science
  • 7 Crossref
TOP