Wearable Human Health Monitoring System

Yanxin Ji; Chengwei Mi; Feng Gao; Fang Deng; Chao Zheng

doi:10.23919/ChiCC.2018.8483751

Wearable Human Health Monitoring System

Yanxin Ji
, Chengwei Mi
, Feng Gao
, Fang Deng
, Chao Zheng

School of Automation

Beijing Institute of Technology
China Aerospace Science and Technology Corporation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

In the paper, we introduce a wearable system that can monitor the health of the human body in real time. The system is composed of sensor node, mobile application of data visualization, storage of cloud server and data mining. The sensor node works on the CC2538 chip based on the Contiki OS, can complete the detection of the four health indicators including body temperature, heart rate, blood oxygen saturation and state of sports and upload the data to the mobile application through BLE Bluetooth. It's also designed to be the miniaturized to make it easy to wear. The mobile application will visualize and store the data from the sensor nodes and upload the data to the cloud server through the MQTT protocol. The data stream is bidirectional in the process. The data stored on the server can be used for offline data mining to diagnose users health. The system realize the complete functions such as data acquisition, storage, visualization, and data mining. And its suitable to monitor the health remotely in real time for healthy people and patients.

Original language	English
Title of host publication	Proceedings of the 37th Chinese Control Conference, CCC 2018
Editors	Xin Chen, Qianchuan Zhao
Publisher	IEEE Computer Society
Pages	7256-7261
Number of pages	6
ISBN (Electronic)	9789881563941
DOIs	https://doi.org/10.23919/ChiCC.2018.8483751
Publication status	Published - 5 Oct 2018
Event	37th Chinese Control Conference, CCC 2018 - Wuhan, China Duration: 25 Jul 2018 → 27 Jul 2018

Publication series

Name	Chinese Control Conference, CCC
Volume	2018-July
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	37th Chinese Control Conference, CCC 2018
Country/Territory	China
City	Wuhan
Period	25/07/18 → 27/07/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Data mining
Data visualization
Health monitor
Wearable

Access to Document

10.23919/ChiCC.2018.8483751

Cite this

@inproceedings{54510ec9f87846f1922be9688f7dfe06,

title = "Wearable Human Health Monitoring System",

abstract = "In the paper, we introduce a wearable system that can monitor the health of the human body in real time. The system is composed of sensor node, mobile application of data visualization, storage of cloud server and data mining. The sensor node works on the CC2538 chip based on the Contiki OS, can complete the detection of the four health indicators including body temperature, heart rate, blood oxygen saturation and state of sports and upload the data to the mobile application through BLE Bluetooth. It's also designed to be the miniaturized to make it easy to wear. The mobile application will visualize and store the data from the sensor nodes and upload the data to the cloud server through the MQTT protocol. The data stream is bidirectional in the process. The data stored on the server can be used for offline data mining to diagnose users health. The system realize the complete functions such as data acquisition, storage, visualization, and data mining. And its suitable to monitor the health remotely in real time for healthy people and patients.",

keywords = "Data mining, Data visualization, Health monitor, Wearable",

author = "Yanxin Ji and Chengwei Mi and Feng Gao and Fang Deng and Chao Zheng",

note = "Publisher Copyright: {\textcopyright} 2018 Technical Committee on Control Theory, Chinese Association of Automation.; 37th Chinese Control Conference, CCC 2018 ; Conference date: 25-07-2018 Through 27-07-2018",

year = "2018",

month = oct,

day = "5",

doi = "10.23919/ChiCC.2018.8483751",

language = "English",

series = "Chinese Control Conference, CCC",

publisher = "IEEE Computer Society",

pages = "7256--7261",

editor = "Xin Chen and Qianchuan Zhao",

booktitle = "Proceedings of the 37th Chinese Control Conference, CCC 2018",

address = "United States",

}

Ji, Y, Mi, C, Gao, F, Deng, F & Zheng, C 2018, Wearable Human Health Monitoring System. in X Chen & Q Zhao (eds), Proceedings of the 37th Chinese Control Conference, CCC 2018., 8483751, Chinese Control Conference, CCC, vol. 2018-July, IEEE Computer Society, pp. 7256-7261, 37th Chinese Control Conference, CCC 2018, Wuhan, China, 25/07/18. https://doi.org/10.23919/ChiCC.2018.8483751

Wearable Human Health Monitoring System. / Ji, Yanxin; Mi, Chengwei; Gao, Feng et al.
Proceedings of the 37th Chinese Control Conference, CCC 2018. ed. / Xin Chen; Qianchuan Zhao. IEEE Computer Society, 2018. p. 7256-7261 8483751 (Chinese Control Conference, CCC; Vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Wearable Human Health Monitoring System

AU - Ji, Yanxin

AU - Mi, Chengwei

AU - Gao, Feng

AU - Deng, Fang

AU - Zheng, Chao

PY - 2018/10/5

Y1 - 2018/10/5

N2 - In the paper, we introduce a wearable system that can monitor the health of the human body in real time. The system is composed of sensor node, mobile application of data visualization, storage of cloud server and data mining. The sensor node works on the CC2538 chip based on the Contiki OS, can complete the detection of the four health indicators including body temperature, heart rate, blood oxygen saturation and state of sports and upload the data to the mobile application through BLE Bluetooth. It's also designed to be the miniaturized to make it easy to wear. The mobile application will visualize and store the data from the sensor nodes and upload the data to the cloud server through the MQTT protocol. The data stream is bidirectional in the process. The data stored on the server can be used for offline data mining to diagnose users health. The system realize the complete functions such as data acquisition, storage, visualization, and data mining. And its suitable to monitor the health remotely in real time for healthy people and patients.

AB - In the paper, we introduce a wearable system that can monitor the health of the human body in real time. The system is composed of sensor node, mobile application of data visualization, storage of cloud server and data mining. The sensor node works on the CC2538 chip based on the Contiki OS, can complete the detection of the four health indicators including body temperature, heart rate, blood oxygen saturation and state of sports and upload the data to the mobile application through BLE Bluetooth. It's also designed to be the miniaturized to make it easy to wear. The mobile application will visualize and store the data from the sensor nodes and upload the data to the cloud server through the MQTT protocol. The data stream is bidirectional in the process. The data stored on the server can be used for offline data mining to diagnose users health. The system realize the complete functions such as data acquisition, storage, visualization, and data mining. And its suitable to monitor the health remotely in real time for healthy people and patients.

KW - Data mining

KW - Data visualization

KW - Health monitor

KW - Wearable

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U2 - 10.23919/ChiCC.2018.8483751

DO - 10.23919/ChiCC.2018.8483751

M3 - Conference contribution

AN - SCOPUS:85056087953

T3 - Chinese Control Conference, CCC

SP - 7256

EP - 7261

BT - Proceedings of the 37th Chinese Control Conference, CCC 2018

A2 - Chen, Xin

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PB - IEEE Computer Society

T2 - 37th Chinese Control Conference, CCC 2018

Y2 - 25 July 2018 through 27 July 2018

ER -

Wearable Human Health Monitoring System

Abstract

Publication series

Conference

UN SDGs

Keywords

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