Web-based remote human pulse monitoring system with intelligent data analysis for home healthcare

Chih Ming Chen; Chin Ming Hong; Chia Meng Huang; Tai Hung Lee

doi:10.1109/ICCIS.2008.4670868

Web-based remote human pulse monitoring system with intelligent data analysis for home healthcare

Chih Ming Chen^*
, Chin Ming Hong
, Chia Meng Huang
, Tai Hung Lee

^*Corresponding author for this work

Department of Electrical Engineering

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

10 Citations (Scopus)

Abstract

Many studies had indicated that applying intelligent systems with physiology signal monitoring for e-health care is a current developing trend. A physiology signal monitoring system can help medical staffs to monitor and analyze human's physiology signal effectively, such that they can not only monitor the patients' physiology states immediately, but also reduce medical cost and save a lot of time of patients to visit hospital's doctors. Therefore, the study employed system on chip (SOC) techniques to develop an embedded human pulse monitoring system with intelligent data analysis mechanism for disease detection and long-term health care, which can be applied to monitor and analyze human's pulse signal in daily life. Meanwhile, the proposed system also developed a friendly web-based interface that is convenient to the observation of immediate human physiological signals. Moreover, this study also proposes an intelligent data analysis scheme based on the modified cosine similarity measure to diagnose abnormal human pulses for exploring potential chronic diseases. Therefore, the proposed system provides benefits in terms of aiding long-distance medical treatment, exploring trends of potential chronic diseases, and urgent situation informing for sudden diseases.

Original language	English
Title of host publication	2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008
Publisher	IEEE Computer Society
Pages	636-641
Number of pages	6
ISBN (Print)	9781424416745
DOIs	https://doi.org/10.1109/ICCIS.2008.4670868
Publication status	Published - 2008 Jun 19
Event	2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008 - Chengdu, China Duration: 2008 Sept 21 → 2008 Sept 24

Publication series

Name	2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008

Conference

Conference	2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008
Country/Territory	China
City	Chengdu
Period	2008/09/21 → 2008/09/24

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

E-health care
Embedded system
Pulse physiology signal monitoring system
Sequence data analysis

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Information Systems
Electrical and Electronic Engineering

Access to Document

10.1109/ICCIS.2008.4670868

Cite this

Chen, C. M., Hong, C. M., Huang, C. M., & Lee, T. H. (2008). Web-based remote human pulse monitoring system with intelligent data analysis for home healthcare. In 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008 (pp. 636-641). Article 4670868 (2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008). IEEE Computer Society. https://doi.org/10.1109/ICCIS.2008.4670868

Web-based remote human pulse monitoring system with intelligent data analysis for home healthcare. / Chen, Chih Ming; Hong, Chin Ming; Huang, Chia Meng et al.
2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008. IEEE Computer Society, 2008. p. 636-641 4670868 (2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008).

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

Chen, CM, Hong, CM, Huang, CM & Lee, TH 2008, Web-based remote human pulse monitoring system with intelligent data analysis for home healthcare. in 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008., 4670868, 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008, IEEE Computer Society, pp. 636-641, 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008, Chengdu, China, 2008/09/21. https://doi.org/10.1109/ICCIS.2008.4670868

Chen CM, Hong CM, Huang CM, Lee TH. Web-based remote human pulse monitoring system with intelligent data analysis for home healthcare. In 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008. IEEE Computer Society. 2008. p. 636-641. 4670868. (2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008). doi: 10.1109/ICCIS.2008.4670868

Chen, Chih Ming ; Hong, Chin Ming ; Huang, Chia Meng et al. / Web-based remote human pulse monitoring system with intelligent data analysis for home healthcare. 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008. IEEE Computer Society, 2008. pp. 636-641 (2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008).

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title = "Web-based remote human pulse monitoring system with intelligent data analysis for home healthcare",

abstract = "Many studies had indicated that applying intelligent systems with physiology signal monitoring for e-health care is a current developing trend. A physiology signal monitoring system can help medical staffs to monitor and analyze human's physiology signal effectively, such that they can not only monitor the patients' physiology states immediately, but also reduce medical cost and save a lot of time of patients to visit hospital's doctors. Therefore, the study employed system on chip (SOC) techniques to develop an embedded human pulse monitoring system with intelligent data analysis mechanism for disease detection and long-term health care, which can be applied to monitor and analyze human's pulse signal in daily life. Meanwhile, the proposed system also developed a friendly web-based interface that is convenient to the observation of immediate human physiological signals. Moreover, this study also proposes an intelligent data analysis scheme based on the modified cosine similarity measure to diagnose abnormal human pulses for exploring potential chronic diseases. Therefore, the proposed system provides benefits in terms of aiding long-distance medical treatment, exploring trends of potential chronic diseases, and urgent situation informing for sudden diseases.",

keywords = "E-health care, Embedded system, Pulse physiology signal monitoring system, Sequence data analysis",

author = "Chen, \{Chih Ming\} and Hong, \{Chin Ming\} and Huang, \{Chia Meng\} and Lee, \{Tai Hung\}",

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AU - Hong, Chin Ming

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AB - Many studies had indicated that applying intelligent systems with physiology signal monitoring for e-health care is a current developing trend. A physiology signal monitoring system can help medical staffs to monitor and analyze human's physiology signal effectively, such that they can not only monitor the patients' physiology states immediately, but also reduce medical cost and save a lot of time of patients to visit hospital's doctors. Therefore, the study employed system on chip (SOC) techniques to develop an embedded human pulse monitoring system with intelligent data analysis mechanism for disease detection and long-term health care, which can be applied to monitor and analyze human's pulse signal in daily life. Meanwhile, the proposed system also developed a friendly web-based interface that is convenient to the observation of immediate human physiological signals. Moreover, this study also proposes an intelligent data analysis scheme based on the modified cosine similarity measure to diagnose abnormal human pulses for exploring potential chronic diseases. Therefore, the proposed system provides benefits in terms of aiding long-distance medical treatment, exploring trends of potential chronic diseases, and urgent situation informing for sudden diseases.

KW - E-health care

KW - Embedded system

KW - Pulse physiology signal monitoring system

KW - Sequence data analysis

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ER -

Web-based remote human pulse monitoring system with intelligent data analysis for home healthcare

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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