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

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 humanpsilas physiology signal effectively, such that they can not only monitor the patientspsila physiology states immediately, but also reduce medical cost and save a lot of time of patients to visit hospitalpsilas 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 humanpsilas 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.

[1]  Motoaki Sugawara,et al.  New methods of one-point measurement of pulse wave velocity , 2002, 2002 IEEE Ultrasonics Symposium, 2002. Proceedings..

[2]  Upkar Varshney,et al.  Managing Wireless Health Monitoring for Patients with Disabilities , 2006, IT Professional.

[3]  K. Ong,et al.  Web-based monitoring of real-time ECG data , 2000, Computers in Cardiology 2000. Vol.27 (Cat. 00CH37163).

[4]  A. Bolz,et al.  Wireless Telecardiological Monitoring System for the Homecare Area , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[5]  S. Tanaka,et al.  Fully Automatic System for Monitoring Blood Pressure from a Toilet-Seat Using the Volume-Oscillometric Method , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[6]  Jianchu Yao,et al.  A wearable point-of-care system for home use that incorporates plug-and-play and wireless standards , 2005, IEEE Transactions on Information Technology in Biomedicine.

[7]  D.H. Stefanov,et al.  The smart house for older persons and persons with physical disabilities: structure, technology arrangements, and perspectives , 2004, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[8]  M. Penhaker,et al.  Health Maintenance Embedded Systems in Home Care Applications , 2007, Second International Conference on Systems (ICONS'07).

[9]  Colleen McCue,et al.  Data Mining and Predictive Analytics in Public Safety and Security , 2006, IT Professional.

[10]  K. Watanabe,et al.  Network health monitoring system in the sleep , 2004, SICE 2004 Annual Conference.

[11]  J.M. Choi,et al.  A System for Ubiquitous Health Monitoring in the Bedroom via a Bluetooth Network and Wireless LAN , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[12]  M.V.M. Figueredo,et al.  Mobile Telemedicine System for Home Care and Patient Monitoring , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[13]  F. Rahman,et al.  System for wireless health monitoring , 2004, ISA/IEEE Sensors for Industry Conference, 2004. Proceedings the.

[14]  V. K. Jayaraman,et al.  Nadi Tarangini: A Pulse Based Diagnostic System , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[15]  Yuan-Hsiang Lin,et al.  A wireless PDA-based physiological monitoring system for patient transport , 2004, IEEE Transactions on Information Technology in Biomedicine.

[16]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.

[17]  Youngbum Lee,et al.  Implementation of Wearable Sensor Glove using Pulse-wave Sensor, Conducting Fabric and Embedded System , 2006, 2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors.

[18]  J.-U. Meyer,et al.  TOPCARE - Implementation of a telematic homecare platform in cooperative health care provider networks , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[19]  Steve Warren,et al.  A wearable, Bluetooth-enabled system for home health care , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[20]  Yue Zhang,et al.  A Wireless Physiological Multi-parameter Monitoring System Based on Mobile Communication Networks , 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

[21]  Yan Yu,et al.  Design of wireless intelligent sensor for structural health monitoring , 2004, Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004..

[22]  Ilkka Korhonen,et al.  Health monitoring in the home of the future. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[23]  Petros Daras,et al.  A Web/WAP-based system for remote monitoring patients with data mining support , 2002, 6th Seminar on Neural Network Applications in Electrical Engineering.

[24]  Hsien-Tsai Wu,et al.  A new dual channel pulse wave velocity measurement system , 2004, Proceedings. Fourth IEEE Symposium on Bioinformatics and Bioengineering.

[25]  Joe-Air Jiang,et al.  A Novel Pulse Measurement System by Using Laser Triangulation and a CMOS Image Sensor , 2007, Sensors.