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

Chih-Ming Chen

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

机译：基于网络的远程人脉监测系统，具有智能数据分析功能，可用于家庭保健

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Many countries have already become aging societies, as evidenced by annually decreasing fertility rates. Elderly individuals often live independently because their families cannot look after them. Therefore, computer-assisted nursing has received increasing attention in modern society, explaining why intelligent systems with physiology signal monitoring for e-health care is an emerging area of development, owing to the urgent needs of homecare for elderly people suffering chronic or sudden diseases at home. Importantly, a physiology signal monitoring system can help medical staff to monitor and analyze physiology signal effectively, such that they can not only monitor the patients' physiology states immediately, but also reduce medical cost and avoid having to visit doctors in hospital. Therefore, this study adopts 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. The proposed system can be applied to monitor and analyze pulse signal in daily life. The proposed system also has a friendly web-based interface for medical staff to observe immediate pulse signals for remote treatment. Hence, the proposed system provides aids long-distance medical treatment, exploring trends of potential chronic diseases, and urgent situations informing for sudden diseases. Moreover, this study also presents an intelligent data analysis scheme based on the modified cosine similarity measure to diagnose abnormal pulses for exploring potential chronic diseases.

机译：许多国家已经成为老龄化社会，生育率逐年下降证明了这一点。老年人常常独立生活，因为他们的家人无法照顾他们。因此，计算机辅助护理在现代社会受到越来越多的关注，这解释了为什么由于生理急需对患有慢性病或突发性疾病的老年人进行家庭护理的需要，具有生理信号监测功能的电子医疗系统正在成为新兴的发展领域。家。重要的是，生理信号监测系统可以帮助医务人员有效地监测和分析生理信号，使他们不仅可以立即监测患者的生理状态，而且可以降低医疗成本，避免去医院就诊。因此，本研究采用片上系统（SOC）技术来开发具有智能数据分析机制的嵌入式人体脉搏监测系统，用于疾病检测和长期医疗保健。该系统可应用于日常生活中的脉搏信号监测与分析。拟议的系统还具有友好的基于Web的界面，供医务人员观察即时脉冲信号以进行远程治疗。因此，所提出的系统可提供远程医疗帮助，探索潜在的慢性疾病趋势，并为突发疾病提供紧急信息。此外，本研究还提出了一种基于改进的余弦相似性度量的智能数据分析方案，以诊断异常脉冲以探索潜在的慢性疾病。

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来源
《Expert Systems with Application》 |2011年第3期|p.2011-2019|共9页
作者
Chih-Ming Chen;
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作者单位

Graduate Institute of Library, Information and Archival Studies, National Chengchi University, No. 64, Sec. 2, ZhiNan Rd., Wenshan District, Taipei City 116, Taiwan, ROC;

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正文语种 eng
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关键词
pulse physiology signal monitoring system; embedded system; e-health care; sequence data analysis;

机译：脉冲生理信号监测系统;嵌入式系统;电子保健;序列数据分析;

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4. Web-based remote human pulse monitoring system with intelligent data analysis for home healthcare [C] . Chih-Ming Chen, Chin-Ming Hong, Chia-Meng Huang, Conference on Cybernetics and Intelligent Systems . 2008

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

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