Akurasi Aplikasi Smartphone dalam Pengukuran Detak Jantung Menurun pada Aktivitas Intensitas Tinggi Dibandingkan Alat Konvensional
DOI:
https://doi.org/10.60076/indotech.v4i1.2023Keywords:
Fotopletismografi (PPG), Pemantauan detak jantung, Pengukuran berbasis ponsel pintar, Akurasi pengukuran, Artefak gerakanAbstract
Perkembangan teknologi dalam pemantauan kondisi fisiologis telah mendorong penggunaan aplikasi smartphone berbasis photoplethysmography (PPG) untuk mengukur detak jantung. Namun, akurasi pengukuran masih menjadi permasalahan utama jika dibandingkan dengan alat konvensional yang telah terstandarisasi. Penelitian ini bertujuan untuk menganalisis dan membandingkan akurasi pengukuran detak jantung antara aplikasi smartphone dan alat konvensional pada berbagai tingkat intensitas aktivitas kardiovaskular. Metode yang digunakan adalah pendekatan kuantitatif dengan desain eksperimen komparatif terhadap 15 subjek. Pengukuran dilakukan menggunakan aplikasi smartphone dan heart rate monitor pada kondisi istirahat, aktivitas ringan, sedang, dan tinggi, kemudian dianalisis menggunakan selisih dan persentase error. Hasil penelitian menunjukkan bahwa aplikasi smartphone memiliki akurasi yang baik pada kondisi intensitas rendah, namun mengalami penurunan seiring meningkatnya intensitas aktivitas. Sebaliknya, alat konvensional menunjukkan hasil yang lebih stabil dan konsisten pada seluruh kondisi pengukuran. Dengan demikian, aplikasi smartphone dapat digunakan sebagai alternatif pemantauan detak jantung untuk aktivitas intensitas rendah hingga sedang, tetapi belum mampu menggantikan alat konvensional pada aktivitas dengan kebutuhan akurasi tinggi
Downloads
References
J. D. Mather, L. D. Hayes, J. L. Mair, and N. F. Sculthorpe, “Validity of resting heart rate derived from contact-based smartphone photoplethysmography compared with electrocardiography: a scoping review and checklist for optimal acquisition and reporting,” Front. Digit. Health, vol. 6, Art. no. 1326511, Feb. 2024, doi: 10.3389/fdgth.2024.1326511.
H. Gruwez, D. Ezzat, T. Van Puyvelde, S. Dhont, E. Meekers, F. Wouters, M. Kellens, L. Bruckers, H. Van Herendael, M. Rivero-Ayerza, D. Nuyens, P. Haemers, and L. Pison,
“Real-world validation of smartphone-based photoplethysmography for heart rate monitoring in atrial fibrillation,” Europace, vol. 26, pp. i85–i87, May 2024, doi: 10.1093/europace/euae102.673.
S. Patel et al., “Comparison of Smartphone Apps and Standard Devices for Heart Rate Measurement,” JMIR mHealth and uHealth, vol. 9, no. 2, 2021. https://doi.org/10.2196/20427
T. Nguyen et al., “Effect of Motion Artifacts on PPG-Based Heart Rate Monitoring,” IEEE Access, vol. 9, 2021. https://doi.org/10.1109/ACCESS.2021.3051234
M. Johnson et al., “Accuracy of Heart Rate Measurement Devices: A Systematic Review,” Sports Medicine, vol. 50, no. 4, 2020. https://doi.org/10.1007/s40279-019-01205-1
J. Fernstad et al., "Validation of a novel smartphone-based photoplethysmographic method for ambulatory heart rhythm diagnostics: The SMARTBEATS study," EuropaceEuropace, vol. 26, no. 4, euae079, 2024. doi: 10.1093/europace/euae07910.1093/europace/euae079.
J. D. Mather et al., "Validity of resting heart rate derived from contact-based smartphone photoplethysmography compared with electrocardiography," Frontiers in Digital HealthFrontiers in Digital Health, vol. 6, 1326511, 2024. doi: 10.3389/fdgth.2024.132651110.3389/fdgth.2024.1326511.
López-Ruiz N, Escobedo P, Ruiz-García I, et al. Digital Optical Ballistocardiographic System for Activity, Heart Rate, and Breath Rate Determination during Sleep. SensorsSensors. 2022;22(11):4112. doi:10.3390/s22114112
Chen YJ, Lin YZ, Vyas S, et al. Time-lapse imaging using dual-color coded quantitative differential phase contrast microscopy. J Biomed OptJ Biomed Opt. 2022;27(5):056002. doi:10.1117/1.JBO.27.5.056002
Busse TS, Nitsche J, Kernebeck S, et al. Approaches to Improvement of Digital Health Literacy (eHL) in the Context of Person-Centered Care. Int J Environ Res Public HealthInt J Environ Res Public Health. 2022;19(14):8309. doi:10.3390/ijerph19148309
S. Ismail, U. Akram, and I. Siddiqi, “Heart Rate Tracking in Photoplethysmography Signals Affected by Motion Artifacts: A Review,” EURASIP Journal on Advances in Signal Processing, vol. 2021, 2021. https://doi.org/10.1186/s13634-020-00714-2
B. Bent et al., “Investigating Sources of Inaccuracy in Wearable Optical Heart Rate Sensors, Digital Medicine, vol. 3, no. 18, 2020. https://doi.org/10.1038/s41746-020-0226-6
A. Shcherbina et al., “Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure,” Journal of Personalized Medicine, vol. 7, no. 2, 2017.
https://doi.org/10.3390/jpm7020003
S. Thakur, P. C. P. Chao, and C. H. Tsai, “Precision Heart Rate Estimation Using a PPG Sensor Patch,” Sensors, vol. 23, no. 13, 2023.
https://doi.org/10.3390/s23136180
R. J. Lee, S. Sivakumar, and K. H. Lim, “Review on Remote Heart Rate Measurements Using Photoplethysmography,”Multimedia Tools and Applications, 2023. https://doi.org/10.1007/s11042-023-16794-9
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Ahmad Indra Harahap, Borkat Lubis, Vanden Samuel, Stepfany Lasma Rito, Ronaldo Paulus Sitorus, Tori Siahaan, Robert Mendrofa

This work is licensed under a Creative Commons Attribution 4.0 International License.


















