Design and preliminary validation of a ubiquitous and wearable physiological monitoring system.
10.7507/1001-5515.201709029
- Author:
Desen CAO
1
,
2
;
Deyu LI
3
;
Zhengbo ZHANG
3
,
4
;
Xiaoli LIU
3
;
Hong LIANG
2
;
Maoqing HE
5
;
Mengsun YU
1
,
6
Author Information
1. School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, P.R.China
2. Department of Biomedical Engineering, Chinese PLA General Hospital, Beijing 100853, P.R.China.
3. School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, P.R.China.
4. Department of Biomedical Engineering, Chinese PLA General Hospital, Beijing 100853, P.R.China
5. Beijing SensEcho Science & Technology Co., Ltd, Beijing 100041, P.R.China.
6. Institute of Aviation Medicine Beijing 100037, P.R.China.yumengsun@263.net.
- Publication Type:Journal Article
- Keywords:
cardiopulmonary physiologic monitoring;
central monitoring;
hospital inpatient;
wearable;
wireless
- From:
Journal of Biomedical Engineering
2019;36(1):121-130
- CountryChina
- Language:Chinese
-
Abstract:
To achieve continuously physiological monitoring on hospital inpatients, a ubiquitous and wearable physiological monitoring system SensEcho was developed. The whole system consists of three parts: a wearable physiological monitoring unit, a wireless network and communication unit and a central monitoring system. The wearable physiological monitoring unit is an elastic shirt with respiratory inductive plethysmography sensor and textile electrocardiogram (ECG) electrodes embedded in, to collect physiological signals of ECG, respiration and posture/activity continuously and ubiquitously. The wireless network and communication unit is based on WiFi networking technology to transmit data from each physiological monitoring unit to the central monitoring system. A protocol of multiple data re-transmission and data integrity verification was implemented to reduce packet dropouts during the wireless communication. The central monitoring system displays data collected by the wearable system from each inpatient and monitors the status of each patient. An architecture of data server and algorithm server was established, supporting further data mining and analysis for big medical data. The performance of the whole system was validated. Three kinds of tests were conducted: validation of physiological monitoring algorithms, reliability of the monitoring system on volunteers, and reliability of data transmission. The results show that the whole system can achieve good performance in both physiological monitoring and wireless data transmission. The application of this system in clinical settings has the potential to establish a new model for individualized hospital inpatients monitoring, and provide more precision medicine to the patients with information derived from the continuously collected physiological parameters.
