可穿戴技术在人体健康监测中的应用进展
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摘要
针对目前可穿戴技术的实际应用、监测的安全性、服装的舒适性以及数据安全等问题,总结了健康监测设备的应用与发展现状。首先将监测对象分为老人、儿童、孕妇和病人4类,对其监测功能进行阐述,并对国内的可穿戴设备进行总结;其次对生物、运动、环境3类传感器、Arduino、STM322类数据处理平台以及BLE、ZigBee、RFID、NFC 4类无线传输技术以及信息反馈技术的作用原理及应用领域进行了总结;最后从研究与实际相结合、柔性舒适的服装平台、监测对象的使用率反馈、设备本身的电源管理和个性化设计以及数据传输与反馈的保密性5个方面对可穿戴设备进行了展望。
In view of the current practical application of wearable technology, the safety of monitoring, the comfort of clothing and the safety of data. The status of the application and development of health monitoring equipment were summarized. Firstly, the monitoring objects were divided into four categories including elderly, children, pregnant women and patients, and their monitoring functions were described respectively. Secondly, The principles and applications of three types of sensors(biological/motion/environmental sensors), two types of data processing platforms(Arduino/STM32) and four types of wireless transmission technology(BLE/ZigBee/RFID/NFC) and information feedback technology were summarized. At last, the wearable devices were put forward from the combination of research and practice, flexible and comfortable clothing platform, feedback of the usage rate of monitoring objects, power management and personalized design of the equipment itself, and confidentiality of data transmission and feedback.
In view of the current practical application of wearable technology, the safety of monitoring, the comfort of clothing and the safety of data. The status of the application and development of health monitoring equipment were summarized. Firstly, the monitoring objects were divided into four categories including elderly, children, pregnant women and patients, and their monitoring functions were described respectively. Secondly, The principles and applications of three types of sensors(biological/motion/environmental sensors), two types of data processing platforms(Arduino/STM32) and four types of wireless transmission technology(BLE/ZigBee/RFID/NFC) and information feedback technology were summarized. At last, the wearable devices were put forward from the combination of research and practice, flexible and comfortable clothing platform, feedback of the usage rate of monitoring objects, power management and personalized design of the equipment itself, and confidentiality of data transmission and feedback.
引文
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[10] 沈雷,谢展,朱美云. 一种新型的智能尿湿感应童裤: 105231515A[P].2016-01-13.SHEN Lei , XIE Zhan , ZHU Meiyun. A novel intelligent diaper for urine and wet induction is provided: 105231515A[P]. 2016-01-13.
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[12] 宫瑾, 沈小键, 贾磊, 等.婴儿欲望与状态识别系统[J].物联网技术,2018,8(2):7-12.GONG Jin, SHEN Xiaojian, JIA Lei, et al.Infant desire and state recognition system[J].Internet of Things Technology,2018,8(2):7-12.
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[14] MARIA G S, ANDREA F, GIOVANNI M, et al. Monitoring fetal heart rate during pregnancy: contributions from advanced signal processing and wearable technology[J]. Computational and Mathematical Methods in Medicine,2014,30:1-10.
[15] 匡绍龙,房银芳,周瑞,等.可穿戴技术应用于术后监控和康复的现状分析[J].科技导报,2017,35(2):55-59.KUANG Shaolong, FANG Yinfang, ZHOU Rui, et al.Application of wearable technology in postoperative monitoring and rehabilitation[J].Science and Technology Guide, 2017,35(2):55-59.
[16] APPELBOOM G,TAYLOR B,BRUCE E,et al. Mobile phone-connected wearable motion sensors to assess postoperative mobilization[J]. Journal of Medical Internet Research, 2015, 17(7): 78.
[17] HELEN S.Design preferences on wearable-nose systems for diabetes[J].Imperial College of Science and Technology,2016,28(2):216-232.
[18] 丁航,沈林勇,吴曦,等.用于改善帕金森病冻结步态的可穿戴技术[J].传感技术学报,2017,30(6):807-813.DING Hang , SHEN Linyong , WU Xi , et al. The wearable technique used to improve the frozen gait of parkinson′s disease[J]. Journal of Sensing Technology, 2017, 30 (6) : 807-813.
[19] JONG G,ARIPRIHARTA J.The PPG physiological signal for heart rate variability analysis[J].Web of Science,2017,97:5229-5276.
[20] DONG E.Design on ear photoplethysmography sensor with movement interference cancellation[J].Transducer and Microsystem Technology,2012,31(8):119-122.
[21] JUSHUA Raywindmiller, JOSEPH Wang. Wearable electrochemical sensorsand biosensors: a review[J].Wiley Online Library,2012(7):29-46.
[22] 陈炜峰,席万强,周峰,等.基于物联网技术的山体滑坡监测及预警系统设计[J].电子器件,2014,37(2):279-282.CHEN Weifeng, XI Wanqiang, ZHOU Feng, et al. Design of landslide monitoring and early warning system based on Internet of things[J]. Electronic Devices, 2014,37(2): 279-282.
[23] 汪丰,邹亚,乔子晏,等.帕金森患者步行运动的定量分析[J].东南大学学报(自然科学版),2015,45(2):266-269.WANG Feng, ZOU Ya, QIAO Ziyan, et al. Quantitative analysis of walking exercise in Parkinson's patients[J].Journal of Southeast University (Natural Science Edition),2015,45(2):266-269.
[24] AHLRICHS C,SAMA A,LAWO M,et al. Detecting freezing of gait with a tri-axial accelerometer in parkinson's disease patients[J]. Medical and Biological Engineering and Computing, 2016,54(1):223-233.
[25] 倪天龙.单总线传感器DHT11在温湿度测控中的应用[J].单片机与嵌入式系统应用,2010(6):60-62.NI Tianlong.Application of single bus sensor DHT11 in temperature and humidity measurement and control[J].Single Chip and Embedded System Application, 2010(6): 60-62.
[26] 方圆,詹诗画,邹奉元.电子鼻技术及其在服装领域的应用[J].现代纺织技术,2017,25(2):76-80.FANG Yuan ,ZHAN Shihua, ZOU Fengyuan. Electronic nose technique and its application in garment field[J]. Advanced Textile Technology, 2017, 25(2):76-80.
[27] 郑昊,钟志峰,郭昊,等.基于Arduino/Android的蓝牙通信系统设计[J].物联网技术,2012(5):50-51.ZHENG Hao , ZHONG Zhifeng , GUO Hao , et al. The bluetooth communication system based on arduino/android is designed according to the technology of internet of things[J]. Internet of Things Technology,2012(5): 50-51.
[28] LIM Poon, LAU Khai. Smarthome and location positioning system(SLOPS):an ambient intelligences service[C]//Proceedings of the 6th International Conference on Computing & Informatics. Kuala Lumpur: Universiti Utara Malaysia,2017:675-682.
[29] 张国平,夏建文,刘 强,等.面向超薄柔性器件加工的激光解键合方案[J].纺织学报,2018,39(5):155-159.ZHANG Guoping,XIA Jianwen,LIU Qiang,et al. Laser de-bonding solution for ultra-thin flexible device handling[J].Journal of Textile Research, 2018,39(5):155-159.
[2] 陈根.智能穿戴改变世界:下一轮商业浪潮[M].北京:电子工业出版社,2014:8.CHEN Gen. Smart Wear Changes the World: Next Wave of Business Wave[M].Beijing:Electronic Industry Press, 2014:8.
[3] 罗启华.以用户为中心的老年人可穿戴运动健康监护产品设计研究[D].广州:广东工业大学,2015:1.LUO Qihua. Design of wearable sports health monitoring products for the elderly centered on users[D]. Guangzhou:Guangdong University of Technology,2015:1.
[4] 孙祥.面向摔倒监测的纽扣型可穿戴式节点系统[J].电子器件,2016,39(6):1482-1486.SUN Xiang. Button-type wearable node system for fall-down monitoring[J]. Electronic Devices , 2016 , 39(6):1482-1486.
[5] 周生强.腕带式跌倒检测系统研究[D].南京:南京邮电大学,2016:68.ZHOU Shengqiang. The wrist strap type fall detection system was studied[D]. Nanjing:Nanjing University of Posts and Telecommunications , 2016:68.
[6] 陈炜, 佟丽娜, 宋全军, 等. 基于惯性传感器件的跌倒检测系统设计[J].传感器与微系统, 2010,29(8):117-125.CHEN Wei, TONG Lina, SONG Quanjun, et al. Design of fall detection system based on inertial sensor[J]. Sensors and Microsystems,2010,29(8):117-125.
[7] 张梅奎,彭芳,胡建明,等.远程心电监测在居家养老中的应用[J].中国数字医学,2016,11(9):94-96.ZHANG Meikui , PENG Fang , HU Jianming , et al. Application of long-distance ECG monitoring in the home-based pension insurance[J]. Chinese Digital Medicine , 2016 , 11 ( 9 ) : 94 - 96.
[8] 张海军,陈宇刚.心电监测老年服装的设计与开发[J].上海纺织科技,2018,46(6):18-21.ZHANG Haijun, CHEN Yugang. Design and development of ECG monitoring for elderly garment[J].Shanghai Textile Science and Technology,2018,46(6):18-21.
[9] 洪文进. 面向智能化的儿童近场定位安全服装研究[D].无锡:江南大学,2014:25.HONG Wenjin.Research on children′s near-field location safety clothing facing Intelligence[D].Wuxi:Jiangnan University, 2014:25.
[10] 沈雷,谢展,朱美云. 一种新型的智能尿湿感应童裤: 105231515A[P].2016-01-13.SHEN Lei , XIE Zhan , ZHU Meiyun. A novel intelligent diaper for urine and wet induction is provided: 105231515A[P]. 2016-01-13.
[11] CHOI Yerim,WANG Lin.A biological signal-based-stress monitoring framework for children using wearable devices[J].Sensors,2017,17(9),1936.
[12] 宫瑾, 沈小键, 贾磊, 等.婴儿欲望与状态识别系统[J].物联网技术,2018,8(2):7-12.GONG Jin, SHEN Xiaojian, JIA Lei, et al.Infant desire and state recognition system[J].Internet of Things Technology,2018,8(2):7-12.
[13] JONE Webster. Medical Instrumentation: Application and Design[M].4th ed. New Jersey: WILEY, 2009: 2-136.
[14] MARIA G S, ANDREA F, GIOVANNI M, et al. Monitoring fetal heart rate during pregnancy: contributions from advanced signal processing and wearable technology[J]. Computational and Mathematical Methods in Medicine,2014,30:1-10.
[15] 匡绍龙,房银芳,周瑞,等.可穿戴技术应用于术后监控和康复的现状分析[J].科技导报,2017,35(2):55-59.KUANG Shaolong, FANG Yinfang, ZHOU Rui, et al.Application of wearable technology in postoperative monitoring and rehabilitation[J].Science and Technology Guide, 2017,35(2):55-59.
[16] APPELBOOM G,TAYLOR B,BRUCE E,et al. Mobile phone-connected wearable motion sensors to assess postoperative mobilization[J]. Journal of Medical Internet Research, 2015, 17(7): 78.
[17] HELEN S.Design preferences on wearable-nose systems for diabetes[J].Imperial College of Science and Technology,2016,28(2):216-232.
[18] 丁航,沈林勇,吴曦,等.用于改善帕金森病冻结步态的可穿戴技术[J].传感技术学报,2017,30(6):807-813.DING Hang , SHEN Linyong , WU Xi , et al. The wearable technique used to improve the frozen gait of parkinson′s disease[J]. Journal of Sensing Technology, 2017, 30 (6) : 807-813.
[19] JONG G,ARIPRIHARTA J.The PPG physiological signal for heart rate variability analysis[J].Web of Science,2017,97:5229-5276.
[20] DONG E.Design on ear photoplethysmography sensor with movement interference cancellation[J].Transducer and Microsystem Technology,2012,31(8):119-122.
[21] JUSHUA Raywindmiller, JOSEPH Wang. Wearable electrochemical sensorsand biosensors: a review[J].Wiley Online Library,2012(7):29-46.
[22] 陈炜峰,席万强,周峰,等.基于物联网技术的山体滑坡监测及预警系统设计[J].电子器件,2014,37(2):279-282.CHEN Weifeng, XI Wanqiang, ZHOU Feng, et al. Design of landslide monitoring and early warning system based on Internet of things[J]. Electronic Devices, 2014,37(2): 279-282.
[23] 汪丰,邹亚,乔子晏,等.帕金森患者步行运动的定量分析[J].东南大学学报(自然科学版),2015,45(2):266-269.WANG Feng, ZOU Ya, QIAO Ziyan, et al. Quantitative analysis of walking exercise in Parkinson's patients[J].Journal of Southeast University (Natural Science Edition),2015,45(2):266-269.
[24] AHLRICHS C,SAMA A,LAWO M,et al. Detecting freezing of gait with a tri-axial accelerometer in parkinson's disease patients[J]. Medical and Biological Engineering and Computing, 2016,54(1):223-233.
[25] 倪天龙.单总线传感器DHT11在温湿度测控中的应用[J].单片机与嵌入式系统应用,2010(6):60-62.NI Tianlong.Application of single bus sensor DHT11 in temperature and humidity measurement and control[J].Single Chip and Embedded System Application, 2010(6): 60-62.
[26] 方圆,詹诗画,邹奉元.电子鼻技术及其在服装领域的应用[J].现代纺织技术,2017,25(2):76-80.FANG Yuan ,ZHAN Shihua, ZOU Fengyuan. Electronic nose technique and its application in garment field[J]. Advanced Textile Technology, 2017, 25(2):76-80.
[27] 郑昊,钟志峰,郭昊,等.基于Arduino/Android的蓝牙通信系统设计[J].物联网技术,2012(5):50-51.ZHENG Hao , ZHONG Zhifeng , GUO Hao , et al. The bluetooth communication system based on arduino/android is designed according to the technology of internet of things[J]. Internet of Things Technology,2012(5): 50-51.
[28] LIM Poon, LAU Khai. Smarthome and location positioning system(SLOPS):an ambient intelligences service[C]//Proceedings of the 6th International Conference on Computing & Informatics. Kuala Lumpur: Universiti Utara Malaysia,2017:675-682.
[29] 张国平,夏建文,刘 强,等.面向超薄柔性器件加工的激光解键合方案[J].纺织学报,2018,39(5):155-159.ZHANG Guoping,XIA Jianwen,LIU Qiang,et al. Laser de-bonding solution for ultra-thin flexible device handling[J].Journal of Textile Research, 2018,39(5):155-159.