A Wearable Wireless Medical Sensor Network System Towards Internet-of-Patients

Digital storage; Gateways (computer networks); Low power electronics; Patient monitoring; Sensor networks; Sensor nodes; Signal processing; Wearable computers; Bluetooth low energies (BLE); Body temperature; Medical networks; Medical sensor networks; Photoplethysmography (PPG); Power management circuits; Vital signs monitoring; Wearable devices; Wearable sensors

Abstract :

[en] This paper presents a wireless, medical network system for vital signs monitoring with a low-power wearable sensor node. The proposed implementation consists of a master sensor board, a sensor node and a gateway (mobile or fixed). The master board has a microcontroller (MeU) for signal processing, a Bluetooth low energy (BLE) module for data transmission, and a power management circuit for charging a 120 mAh rechargeable battery. The sensor node, with a temperature sensor and a photoplethysmography (PPG) sensor, is aimed to be attached to the subject's chest to measure the vital signs, including heart rate (HR), respiration rate (RR) and body temperature. Experimental results demonstrate that the proposed wearable device can monitor and transmit the subject's vital signs to the gateway for data storage and further healthcare analysis. © 2018 IEEE.

Disciplines :

Electrical & electronics engineering

Author, co-author :

Wu, T.; Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC 3800, Australia

Redouté, Jean-Michel ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes microélectroniques intégrés

Yuce, M. R.; Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, VIC 3800, Australia

Language :

English

Title :

A Wearable Wireless Medical Sensor Network System Towards Internet-of-Patients

Publication date :

2018

Event name :

17th IEEE SENSORS Conference, SENSORS 2018

Event date :

28 October 2018 through 31 October 2018

Audience :

International

Journal title :

Proceedings of IEEE Sensors

ISSN :

1930-0395

eISSN :

2168-9229

Publisher :

Institute of Electrical and Electronics Engineers Inc.

Volume :

2018-October

Peer reviewed :

Peer Reviewed verified by ORBi

Name of the research project :

Australian Research Council Future Fellowships under Grant FT130100430

Funders :

ARC - Australian Research Council

Commentary :

9781538647073

Available on ORBi :

since 06 September 2019

Statistics

Number of views

64 (4 by ULiège)

Number of downloads

4 (4 by ULiège)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

OpenCitations

OpenAlex citations

Bibliography

K.-H. Yeh, "A secure iot-based healthcare system with body sensor networks," IEEE Access, vol. 4, pp. 10 288-10 299, 2016.
T. Wu, F. Wu, J.-M. Redouté, and M. R. Yuce, "An autonomous wireless body area network implementation towards iot connected healthcare applications," IEEE Access, vol. 5, pp. 11 413 -11 422, June 2017. Fig. 6. The experimental results of the wearable sensor attached to a subject during normal office work: (a) heart rate; (b) respiration rate; (c) body temperature.
C. C. Poon, B. P. Lo, M. R. Yuce, A. Alomainy, and Y. Hao, "Body sensor networks: In the era of big data and beyond," IEEE reviews in biomedical engineering, vol. 8, pp. 4-16, 2015.
G. Appelboom, E. Camacho, M. E. Abraham, S. S. Bruce, E. L. Dumont, B. E. Zacharia, R. DAmico, J. Slomian, J. Y. Reginster, O. Bruyère et al., "Smart wearable body sensors for patient self-assessment and monitoring," Archives of Public Health, vol. 72, no. 1, p. 28, 2014.
J.-L. Vincent, S. Einav, R. Pearse, S. Jaber, P. Kranke, F. J. Overdyk, D. K. Whitaker, F. Gordo, A. Dahan, and A. Hoeft, "Improving detection of patient deterioration in the general hospital ward environment," European journal of anaesthesiology, vol. 35, no. 5, p. 325, 2018.
Z. Zhu, T. Liu, G. Li, T. Li, and Y. Inoue, "Wearable sensor systems for infants," Sensors, vol. 15, no. 2, pp. 3721-3749, 2015.
R. Varatharajan, G. Manogaran, M. Priyan, and R. Sundarasekar, "Wearable sensor devices for early detection of alzheimer disease using dynamic time warping algorithm," Cluster Computing, pp. 1-10, 2017.
M. Hossain, S. R. Islam, F. Ali, K.-S. Kwak, and R. Hasan, "An internet of things-based health prescription assistant and its security system design," Future Generation Computer Systems, 2017.
J. Allen, "Photoplethysmography and its application in clinical physiological measurement," Physiological measurement, vol. 28, no. 3, p. R1, 2007.
K. Li and S. Warren, "A wireless reflectance pulse oximeter with digital baseline control for unfiltered photoplethysmograms," IEEE transactions on biomedical circuits and systems, vol. 6, no. 3, pp. 269-278, 2012.
K. Nakajima, T. Tamura, and H. Miike, "Monitoring of heart and respiratory rates by photoplethysmography using a digital filtering technique," Medical engineering & physics, vol. 18, no. 5, pp. 365-372, 1996.
S. G. Fleming and L. Tarassenko, "A comparison of signal processing techniques for the extraction of breathing rate from the photoplethysmogram," Int J Biol Med Sci, vol. 2, no. 4, pp. 232-6, 2007.
W. Karlen, S. Raman, J. M. Ansermino, and G. A. Dumont, "Multiparameter respiratory rate estimation from the photoplethysmogram," IEEE Transactions on Biomedical Engineering, vol. 60, no. 7, pp. 1946-1953, 2013.
M. A. Pimentel, A. E. Johnson, P. H. Charlton, D. Birrenkott, P. J. Watkinson, L. Tarassenko, and D. A. Clifton, "Toward a robust estimation of respiratory rate from pulse oximeters," IEEE Transactions on Biomedical Engineering, vol. 64, no. 8, pp. 1914-1923, 2017.
J. Lee, K. Matsumura, K.-i. Yamakoshi, P. Rolfe, S. Tanaka, and T. Yamakoshi, "Comparison between red, green and blue light reflection photoplethysmography for heart rate monitoring during motion," in 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013, pp. 1724-1727.