Literature DB >> 11347420

Patient monitoring using personal area networks of wireless intelligent sensors.

E Jovanov1, D Raskovic, J Price, J Chapman, A Moore, A Krishnamurthy.   

Abstract

A wearable device for monitoring multiple physiological signals (polysomnograph) usually includes multiple wires connecting sensors and the monitoring device. In order to integrate information from intelligent sensors, all devices must be connected to a Personal Area Network (PAN). This system organization is unsuitable for longer and continuous monitoring, particularly during the normal activity. For instance, monitoring of athletes and computer assisted rehabilitation commonly involve unwieldy wires to arms and legs that restrain normal activity. We propose a wireless PAN of intelligent sensors as a system architecture of choice, and present a new design of wireless personal area network with physiological sensors for medical applications. Intelligent wireless sensors perform data acquisition and limited processing. Individual sensors monitor specific physiological signals (such as EEG, ECG, GSR, etc.) and communicate with each other and the personal server. Personal server integrates information from different sensors and communicates with the rest of telemedical system as a standard mobile unit. We present our prototype implementation of Wireless Intelligent SEnsor (WISE) based on a very low power consumption microcontroller and a DSP-based personal server. In future we expect all components of WISE integrated in a single chip for use in a variety of new medical applications and sophisticated human computer interfaces. Existing growth of wireless infrastructure will allow a range of new telemedical applications that will significantly improve the quality of health care.

Entities:  

Mesh:

Year:  2001        PMID: 11347420

Source DB:  PubMed          Journal:  Biomed Sci Instrum        ISSN: 0067-8856


  10 in total

1.  Towards improved healthcare performance: examining technological possibilities and patient satisfaction with wireless body area networks.

Authors:  Rune Fensli; Jan Gunnar Dale; Philip O'Reilly; John O'Donoghue; David Sammon; Torstein Gundersen
Journal:  J Med Syst       Date:  2009-05-12       Impact factor: 4.460

2.  Variable threshold method for ECG R-peak detection.

Authors:  Hsein-Ping Kew; Do-Un Jeong
Journal:  J Med Syst       Date:  2011-06-22       Impact factor: 4.460

3.  An activity recognition model using inertial sensor nodes in a wireless sensor network for frozen shoulder rehabilitation exercises.

Authors:  Hsueh-Chun Lin; Shu-Yin Chiang; Kai Lee; Yao-Chiang Kan
Journal:  Sensors (Basel)       Date:  2015-01-19       Impact factor: 3.576

Review 4.  A Localized Surface Plasmon Resonance Sensor Using Double-Metal-Complex Nanostructures and a Review of Recent Approaches.

Authors:  Heesang Ahn; Hyerin Song; Jong-Ryul Choi; Kyujung Kim
Journal:  Sensors (Basel)       Date:  2017-12-31       Impact factor: 3.576

5.  A wireless interface for replacing the cables in bridge-sensor applications.

Authors:  Marko Pavlin; Franc Novak
Journal:  Sensors (Basel)       Date:  2012-07-25       Impact factor: 3.576

6.  Wireless local area network in a prehospital environment.

Authors:  Dongquan Chen; Seng-jaw Soong; Gary J Grimes; Helmuth F Orthner
Journal:  BMC Med Inform Decis Mak       Date:  2004-08-31       Impact factor: 2.796

Review 7.  Telemonitoring with respect to mood disorders and information and communication technologies: overview and presentation of the PSYCHE project.

Authors:  Hervé Javelot; Anne Spadazzi; Luisa Weiner; Sonia Garcia; Claudio Gentili; Markus Kosel; Gilles Bertschy
Journal:  Biomed Res Int       Date:  2014-06-24       Impact factor: 3.411

8.  Design of a Remote Real-Time Monitoring System for Multiple Physiological Parameters Based on Smartphone.

Authors:  Noman Q Al-Naggar; Husam Mohammed Al-Hammadi; Adel Mohammed Al-Fusail; Zakarya Ali Al-Shaebi
Journal:  J Healthc Eng       Date:  2019-11-19       Impact factor: 2.682

Review 9.  ECG Monitoring Systems: Review, Architecture, Processes, and Key Challenges.

Authors:  Mohamed Adel Serhani; Hadeel T El Kassabi; Heba Ismail; Alramzana Nujum Navaz
Journal:  Sensors (Basel)       Date:  2020-03-24       Impact factor: 3.576

10.  Research and Development of a COVID-19 Tracking System in Order to Implement Analytical Tools to Reduce the Infection Risk.

Authors:  Erik Vavrinsky; Tomas Zavodnik; Tomas Debnar; Lubos Cernaj; Jozef Kozarik; Michal Micjan; Juraj Nevrela; Martin Donoval; Martin Kopani; Helena Kosnacova
Journal:  Sensors (Basel)       Date:  2022-01-11       Impact factor: 3.576

  10 in total

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