Performance Analysis Smart-Shoes To Measure the Pulse in Dorsalis Pedis Artery

Main Article Content

Akhmad Afrizal Rizqi
Aripriharta
Ilham Ari Elbaith Zaeni

Abstract

Wearable device has grown in popularity in recent years. This article presents the performance of smart shoes as a biomedical device that can be used to capture heart rate signals from the dorsalis pedis artery on the leg. In general, heart rate is measured from the arteries located in the chest, hands, fingertips, and ears or neck. Even though the pulse from the dorsalis pedis has a smaller amplitude compared to other arterial locations, the sensor is integrated on smart shoes can catch the sign al from the dorsalis pedis pulse. Research is intended to analyze lifetime and accuracy smart shoes. The experiment was carried out by 30 healthy male and female volunteers aged 20 - 25 years. The results obtained indicate that the sensor smart shoes can measure the dorsalis pedis pulse and has an average error rate of 9.28% compared to a digital
sphygmomanometer. Based on the results of energy consumption analysis, smart shoes in this study has a lifetime of up to 25.86 hours using a 1100 mAh battery.

Article Details

How to Cite
[1]
Akhmad Afrizal Rizqi, Aripriharta, and Ilham Ari Elbaith Zaeni, “Performance Analysis Smart-Shoes To Measure the Pulse in Dorsalis Pedis Artery”, Fidelity, vol. 5, no. 2, pp. 84-94, May 2023.
Section
Articles
Received 2023-03-21
Published 2023-05-31

References

F. I. Putri, “Jangan Tunggu Sakit! Ini Pentingnya Pantau Denyut Jantung Secara Berkala,” Detik Health, 2018.

R. Mohammed, D. Omer, and N. K. Al-salihi, “No Title,” 2017.

V. Mouradian, A. Poghosyan, and L. Hovhannisyan, “Continuous wearable health monitoring using novel PPG optical sensor and device,” in International Conference on Wireless and Mobile Computing, Networking and Communications, 2014, pp. 120–123, doi: https://doi.org/10.1109/WiMOB.2014.6962159.

S. Sukaphat, S. Nanthachaiporn, K. Upphaccha, and P. Tantipatrakul, “Heart rate measurement on Android platform,” in 2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON, 2016, pp. 1–5, doi: https://doi.org/10.1109/ECTICon.2016.7561442.

H. Mansor, S. S. Meskam, N. S. Zamery, N. Q. A. M. Rusli, and R. Akmeliawati, “Portable heart rate measurement for remote health monitoring system,” in 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, 2015, pp. 1–4, doi: https://doi.org/10.1109/ASCC.2015.7244405.

S. Chen, D. W. Kim, J. Kim, and C. Pang, “A transparent, glue-free, skin- attachable graphene pressure sensor with micropillars for skin-elasticity measurement,” in Nanotechnology, 2019, p. 30(33).

G. J. Jong, Aripriharta, Hendrick, and G. J. Horng, “Fuzzy Inference Engine Integrated with Blood Pressure and Heart Variability for Medical Web Platform,” Wirel. Pers. Commun., vol. 92(4), pp. 1695–1712, 2017, doi:
https://doi.org/10.1007/s11277-016-3629-6.

D. Bansal, M. Khan, and A. K. Salhan, “A review of measurement and analysis of heart rate variability,” in International Conference on Computer and Automation Engineering, 2009, pp. 243– 246, doi:
https://doi.org/10.1109/ICCAE.2009.70.

B. W. Nelson and N. B. Allen, “Accuracy of Consumer Wearable Heart Rate Measurement During an Ecologically Valid 24-Hour Period : Intraindividual Validation Study,” 2019, doi: https://doi.org/10.2196/10828.

L. Scalise and G. Cosoli, “Wearables for Health and Fitness : Measurement Characteristics and Accuracy,” in 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2018, pp. 1–6.

C. J. Gordon, A. Frotjold, and J. G. Bloomfield, “Nursing students blood pressure measurement accuracy during clinical practice,” 2016, doi: https://doi.org/10.5430/jnep.v5n5p46.

S. Vasanthamani, “A Study on Lifetime Enhancement and Reliability in Wearable Wireless Body Area Networks,” Int. J.User- Driven Healthc., vol. 8(2), pp. 46–59, 2019, doi: https://doi.org/10.4018/ijudh.2018070103.

J. Parak, I. S. Member, I. Korhonen, and I. S. Member, “Evaluation of Wearable Consumer Heart Rate Monitors Based on Photopletysmography,” 2014, pp. 3670–3673.

K. Molugaram and G. S. Rao, “Analysis of Time Series,” in Statistical Techniques for Transportation Engineering, 2017, pp. 463–489, doi: https://doi.org/10.1016/b978-0-12-811555-8.00012-x.

Energizer, “Nickel Metal Hydride Batteries,” in Handbook and Application Manual, 2018, pp. 1–14.

S. Anwar, I. D. G. H. Wisana, and P. C. Nugraha, “BPM PADA CAROTID ARTERY BERBASIS PC VIA BLUETOOTH,” J.Chem. Inf. Model., vol. 53(9), pp. 1689–1699, 2019, doi: https://doi.org/10.1017/CBO9781107415324.004.

R. Hariri, L. Hakim, and R. F. Lestari, “Sistem Monitoring Detak Jantung Menggunakan Sensor AD8232 Berbasis Internet of Things,” J. Telekomun. Dan Komput., vol. 9(3), p. 164, 2019, doi: https://doi.org/10.22441/incomtech.v9i3.7075.

F. H. Sipayung, K. N. Ramadhani, and A. Arifianto, “Pengukuran Detak Jantung Menggunakan Metode Fotopletismograf Pendahuluan Studi Terkait,” vol. 5(2), pp. 3664–3670, 2018.