Design and preliminary validation of a ubiquitous and wearable physiological monitoring system_Journal of Biomedical Engineering

Authors：

CAO Desen ^1,2 , LI Deyu ¹ , ZHANG Zhengbo ^2,1 , LIU Xiaoli ¹ , LIANG Hong ² , HE Maoqing ³ ,  YU Mengsun ^1,4

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. Beijing SensEcho Science & Technology Co., Ltd, Beijing 100041, P.R.China;
4. Institute of Aviation Medicine Beijing 100037, P.R.China;

Corresponding author：

YU Mengsun, Email: yumengsun@263.net

Keywords：

wearable; cardiopulmonary physiologic monitoring; wireless; central monitoring; hospital inpatient

DOI：

10.7507/1001-5515.201709029

Video：

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Abstract Full text Figures/Tables Video References Cited by

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.

Citation： CAO Desen, LI Deyu, ZHANG Zhengbo, LIU Xiaoli, LIANG Hong, HE Maoqing, YU Mengsun. Design and preliminary validation of a ubiquitous and wearable physiological monitoring system. Journal of Biomedical Engineering, 2019, 36(1): 121-130. doi: 10.7507/1001-5515.201709029 Copy

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14.	Barrett P M, Komatireddy R, Haaser S, et al. Comparison of 24-hour Holter monitoring with 14-day novel adhesive patch electrocardiographic monitoring. Am J Med, 2014, 127(1): 95.e11-95.e17.
15.	Hernandez-Silveira M, Ahmed K, Ang S S, et al. Assessment of the feasibility of an ultra-low power, wireless digital patch for the continuous ambulatory monitoring of vital signs. BMJ open, 2015, 5(5): e006606.
16.	张政波, 毕亚琼, 俞梦孙, 等. 穿戴式呼吸感应体积描记用于睡眠呼吸事件检测. 生物医学工程学杂志, 2008, 25(2): 318-322.
17.	Zhang Zhengbo, Zheng Jiewen, Wu Hao, et al. Development of a respiratory inductive plethysmography module supporting multiple sensors for wearable systems. Sensors (Basel), 2012, 12(10): 13167-13184.
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21.	Devita M A, Smith G B, Adam S K, et al. "Identifying the hospitalised patient in crisis"--a consensus conference on the afferent limb of rapid response systems. Resuscitation, 2010, 81(4): 375-382.
22.	Schein R M, Hazday N, Pena M, et al. Clinical antecedents to in-hospital cardiopulmonary arrest. Chest, 1990, 98(6): 1388-1392.
23.	Yañez A M, Guerrero D, Pérez de Alejo R, et al. Monitoring breathing rate at home allows early identification of COPD exacerbations. Chest, 2012, 142(6): 1524-1529.
24.	Camillo C A, Laburu V D, Gonçalves N S, et al. Improvement of heart rate variability after exercise training and its predictors in COPD. Respir Med, 2011, 105(7): 1054-1062.
25.	Spruit M A, Pitta F, Mcauley E, et al. Pulmonary rehabilitation and physical activity in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med, 2015, 192(8): 924-933.

1. 苌飞霸, 尹军, 张和华, 等. 可穿戴式健康监测系统研究与展望. 中国医疗器械杂志, 2015, 39(1): 40-43.
2. 樊瑜波. 可穿戴医疗/健康技术--生物医学工程的机遇和挑战. 生物医学工程学杂志, 2016, 33(1): 1.
3. Grossman P. The LifeShirt: a multi-function ambulatory system monitoring health, disease, and medical intervention in the real world. Stud Health Technol Inform, 2004, 108: 133-141.
4. Pandian P S, Mohanavelu K, Safeer K P, et al. Smart vest: wearable multi-parameter remote physiological monitoring system. Med Eng Phys, 2008, 30(4): 466-477.
5. Anliker U, Ward J A, Lukowicz P, et al. AMON: a wearable multiparameter medical monitoring and alert system. IEEE Trans Inf Technol Biomed, 2004, 8(4): 415-427.
6. 张政波, 俞梦孙, 李若新, 等. 背心式呼吸感应体积描记系统设计. 航天医学与医学工程, 2006, 19(5): 377-381.
7. 滕晓菲, 张元亭. 移动医疗: 穿戴式医疗仪器的发展趋势. 中国医疗器械杂志, 2006, 30(5): 330-340.
8. 郭劲松, 邓亲恺. 可穿戴式心电、呼吸传感器与检测系统的研制. 中国医疗器械杂志, 2006, 30(5): 341-344.
9. Zhang Zhengbo, Shen Yuhong, Wang Weidong, et al. Design and implementation of sensing shirt for ambulatory cardiopulmonary monitoring. J Med Biol Eng, 2011, 31(3): 207-215.
10. Shen Yuhong, Zheng Jiewen, Zhang Zhengbo, et al. Design and implementation of a wearable, multiparameter physiological monitoring system for the study of human heat stress, cold stress, and thermal comfort. Instrumentation Science Technology, 2012, 40(4): 290-304.
11. Liu Y, Zhu S H, Wang G H, et al. Validity and reliability of multiparameter physiological measurements recorded by the Equivital LifeMonitor during activities of various intensities. J Occup Environ Hyg, 2013, 10(2): 78-85.
12. Elliot C A, Hamlin M J, Lizamore C A. Validity and reliability of the Hexoskin^® wearable biometric vest during maximal aerobic power testing in elite cyclists. J Str Condit Res, 2017: 1-8.
13. Koo H S, Fallon K. Preferences in tracking dimensions for wearable technology. Int J Cloth Sci Tech, 2017, 29(2): 180-199.
14. Barrett P M, Komatireddy R, Haaser S, et al. Comparison of 24-hour Holter monitoring with 14-day novel adhesive patch electrocardiographic monitoring. Am J Med, 2014, 127(1): 95.e11-95.e17.
15. Hernandez-Silveira M, Ahmed K, Ang S S, et al. Assessment of the feasibility of an ultra-low power, wireless digital patch for the continuous ambulatory monitoring of vital signs. BMJ open, 2015, 5(5): e006606.
16. 张政波, 毕亚琼, 俞梦孙, 等. 穿戴式呼吸感应体积描记用于睡眠呼吸事件检测. 生物医学工程学杂志, 2008, 25(2): 318-322.
17. Zhang Zhengbo, Zheng Jiewen, Wu Hao, et al. Development of a respiratory inductive plethysmography module supporting multiple sensors for wearable systems. Sensors (Basel), 2012, 12(10): 13167-13184.
18. Hamilton P S, Tompkins W J. Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database. IEEE Trans Biomed Eng, 1986, 33(12): 1157-1165.
19. Moody G A, Mark R G. The impact of the MIT-BIH arrhythmia database. IEEE Eng Med Biol Mag, 2001, 20(3): 45-50.
20. Goldberger A L, Amaral L A, Glass L, et al. PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. Circulation, 2000, 101(23): E215-E220.
21. Devita M A, Smith G B, Adam S K, et al. "Identifying the hospitalised patient in crisis"--a consensus conference on the afferent limb of rapid response systems. Resuscitation, 2010, 81(4): 375-382.
22. Schein R M, Hazday N, Pena M, et al. Clinical antecedents to in-hospital cardiopulmonary arrest. Chest, 1990, 98(6): 1388-1392.
23. Yañez A M, Guerrero D, Pérez de Alejo R, et al. Monitoring breathing rate at home allows early identification of COPD exacerbations. Chest, 2012, 142(6): 1524-1529.
24. Camillo C A, Laburu V D, Gonçalves N S, et al. Improvement of heart rate variability after exercise training and its predictors in COPD. Respir Med, 2011, 105(7): 1054-1062.
25. Spruit M A, Pitta F, Mcauley E, et al. Pulmonary rehabilitation and physical activity in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med, 2015, 192(8): 924-933.

Journal of Biomedical Engineering

Design and preliminary validation of a ubiquitous and wearable physiological monitoring system

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