Bulletin of Chinese Academy of Sciences (Chinese Version)
Keywords
human health; intelligent services; wearable; body sensor networks
Document Type
Article
Abstract
Aside the fact that monitoring, obtaining, and processing of health information remain the prominent way to assessing human health status, it has also been an important means for effective prevention and treatment of diseases. Emergence of wearable body sensor network (WBSN) is a way to achieve health tracking process and intelligent services required for dynamic monitoring of human information. Based on analysis of the present situation and research status of wearable human sensor, this paper presents a systematic review on the core technology of WBSN that would be of great impact in health diagnosis and diseases prevention. Finally, based on the wearable medical device and sensor network technology, two scientific questions regarding "man-machine-environment" are presented. One is the strategy or method to solve the core technology of WBSN and the other is WBSN based wearable medical device.
First page
1322
Last Page
1329
Language
Chinese
Publisher
Bulletin of Chinese Academy of Sciences
References
Park Y T, Han D. Current status of electronic medical record systems in hospitals and clinics in Korea. Healthcare Informatics Research, 2017, 23(3):189.
周兵. 基于蓝牙低功耗技术的可穿戴式健康监护系统研究. 北京: 中国科学院大学, 2014.
Chen L Y, Tee B C K, Chortos A L, et al. Continuous wireless pressure monitoring and mapping with ultra-small passive sensors for health monitoring and critical care. Nature Communications, 2014, 5:5028.
Peng H, Dang W, Cao J, et al. Topological insulator nanostructures for near-infrared transparent flexible electrodes. Nature Chemistry, 2012, 4(4):281-286.
Jandhyala S, Walper S A, Cargill A A, et al. Integration of biochemical sensors into wearable biomaterial platforms. SPIE Commercial + Scientific Sensing and Imaging. 2016, 9863:1-6.
Selvam A P, Muthukumar S, Kamakoti V, et al. A wearable biochemical sensor for monitoring alcohol consumption lifestyle through Ethyl glucuronide (EtG) detection in human sweat. Scientific Reports, 2016, 6:1-9.
Zheng Y L, Ding X R, Poon C C Y, et al. Unobtrusive sensing and wearable devices for health informatics. IEEE Transactions on Biomedical Engineering, 2014, 61(5):1538-1554.
Raj P, Raman A, Nagaraj D, et al. High-Performance Big-Data Analytics. Switzerland:Springer International Publishing, 2015:391:424.
Laschi C, Mazzolai B, Cianchetti M. Soft robotics:Technologies and systems pushing the boundaries of robot abilities. Science Robotics, 2016, 1(1):1-11.
Ryu S, Lee P, Chou J B, et al. Extremely elastic wearable carbon nanotube fiber strain sensor for monitoring of human motion. ACS Nano, 2015, 9(6):5929.
Yugandhar G, Rao G V, Rao K S. Modeling and simulation of piezoelectric MEMS sensor. Materials Today Proceedings, 2015, 2(4-5):1595-1602.
Yamada T, Hayamizu Y, Yamamoto Y, et al. A stretchable carbon nanotube strain sensor for human-motion detection. Nature Nanotechnology, 2011, 6(5):296-301.
Tee B C, Chortos A, Berndt A, et al. A skin-inspired organic digital mechanoreceptor. Science, 2015, 350(6258):313-316.
Lipomi D J, Vosgueritchian M, Tee B C, et al. Skin-like pressure and strain sensors based on transparent elastic films of carbon nanotubes. Nature Nanotechnology. 2011, 6(12):788-792.
Chae S H, Yu W J, Bae J J, et al. Transferred wrinkled Al 2O 3 for highly stretchable and transparent graphene-carbon nanotube transistors. Nature Materials, 2013, 12(5):403-409.
Gong S, Schwalb W, Wang Y, et al. A wearable and highly sensitive pressure sensor with ultrathin gold nanowires. Nature Communications, 2014, 5(2):3132.
Liao C, Mak C, Zhang M, et al. Flexible organic electrochemical transistors for highly selective enzyme biosensors and used for saliva testing. Advanced Materials, 2015, 27(4):676-681.
Bae W G, Kim D, Kwak M K, et al. Enhanced skin adhesive patch with modulus-tunable composite micropillars. Advanced Healthcare Materials, 2013, 2(1):109.
Kim H, Yazicioglu R F, Kim S, et al. A configurable and low-power mixed signal SoC for portable ECG monitoring applications. Vlsi Circuits, 2011, 8(2):142-143.
Kmon P, Gryboś P. Energy efficient low-noise multichannel neural amplifier in submicron CMOS process. IEEE Transactions on Circuits & Systems Ⅰ Regular Papers, 2013, 60(7):1764-1775.
Muller R, Gambini S, Rabaey J M. A 0.013 mm 2 5 μW DCcoupled neural signal acquisition IC with 0.5 V supply. IEEE Journal of Solid-State Circuits, 2012, 47(1):232-243.
Lee Y C, Hsu W Y, Huang T T, et al. A compact Gm-C filter architecture with an ultra-low corner frequency and high groundnoise rejection. Biomedical Circuits and Systems Conference, 2013, 12(4):318-321.
Qian C, Parramon J, Sanchez-Sinencio E. A micropower low-noise neural recording front-end circuit for epileptic seizure detection. IEEE Journal of Solid-State Circuits. 2011, 46(6):1392-1405.
Chang C H, Molahosseini A S, Zarandi A A E, et al. Residue number systems:A new paradigm to datapath optimization for low-power and high-performance digital signal processing applications. IEEE Circuits & Systems Magazine, 2015, 15(4):26-44.
Piwek L, Ellis D A, Andrews S, et al. The rise of consumer health wearables:Promises and barriers. PLoS Medicine. 2016, 13(2):1-9.
Poon C, Lo B, Yuce M, et al. Body sensor networks:in the era of big data and beyond. IEEE Reviews in Biomedical Engineering, 2015, 8:4-16.
McDonald D, Glusman G, Price N D. Personalized nutrition through big data. Nature Biotechnology, 2016, 34(2):152-154.
Chaussabel D, Pulendran B. A vision and a prescription for big data-enabled medicine. Nature Immunology, 2015, 16(5):435-439.
Rumsfeld J S, Joynt K E, Maddox T M. Big data analytics to improve cardiovascular care:promise and challenges. Nature Reviews Cardiology, 2016, 13(6):350.
Eisenstein M. Big data:The power of petabytes. Nature, 2015, 527(7576):2-4.
邱明林. 基于人体传感网的穿戴式远程健康监护系统的设计与实现. 杭州: 浙江大学, 2013.
宋轶琳, 林楠森, 姜红, 等.纳米铂黑修饰微电极阵列在神经电生理检测中的应用研究.东南大学学报(医学版), 2011, 30(1):29-32.
冷腾飞, 聂泽东, 王磊.人体通信信道测试系统的研究与实现.传感器与微系统, 2012, 31(11):17-19.
许鹏俊. 用于体表心电监测的纺织结构电极与皮肤之间机械作用分析及动态噪音研究. 上海: 东华大学, 2012.
Recommended Citation
Shipeng, Han; Mumini Omisore, Olatunji; and Lei, Wang
(2017)
"Wearable Body Sensor Network,"
Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 32
:
Iss.
12
, Article 6.
DOI: https://doi.org/10.16418/j.issn.1000-3045.2017.12.006
Available at:
https://bulletinofcas.researchcommons.org/journal/vol32/iss12/6