Literature DB >> 17281060

A WBAN System for Ambulatory Monitoring of Physical Activity and Health Status: Applications and Challenges.

E Jovanov1, A Milenkovic, C Otto, P De Groen, B Johnson, S Warren, G Taibi.   

Abstract

Recent technological advances in sensors, low-power integrated circuits, and wireless communications have enabled the design of low-cost, miniature, lightweight, intelligent physiological sensor platforms that can be seamlessly integrated into a body area network for health monitoring. Wireless body area networks (WBANs) promise unobtrusive ambulatory health monitoring for extended periods of time and near real-time updates of patients' medical records through the Internet. A number of innovative systems for health monitoring have recently been proposed. However, they typically rely on custom communication protocols and hardware designs, lacking generality and flexibility. The lack of standard platforms, system software support, and standards makes these systems expensive. Bulky sensors, high price, and frequent battery changes are all likely to limit user compliance. To address some of these challenges, we prototyped a WBAN utilizing a common off-the-shelf wireless sensor platform with a ZigBee-compliant radio interface and an ultra low-power microcontroller. The standard platform interfaces to custom sensor boards that are equipped with accelerometers for motion monitoring and a bioamplifier for electrocardiogram or electromyogram monitoring. Software modules for on-board processing, communication, and network synchronization have been developed using the TinyOS operating system. Although the initial WBAN prototype targets ambulatory monitoring of user activity, the developed sensors can easily be adapted to monitor other physiological parameters. In this paper, we discuss initial results, implementation challenges, and the need for standardization in this dynamic and promising research field.

Entities:  

Year:  2005        PMID: 17281060     DOI: 10.1109/IEMBS.2005.1615290

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  10 in total

1.  A WBAN-based real-time electroencephalogram monitoring system: design and implementation.

Authors:  Haifeng Chen; Wanqing Wu; Jungtae Lee
Journal:  J Med Syst       Date:  2010-06       Impact factor: 4.460

Review 2.  Wireless connectivity for health and sports monitoring: a review.

Authors:  S Armstrong
Journal:  Br J Sports Med       Date:  2007-01-15       Impact factor: 13.800

3.  DTN routing in body sensor networks with dynamic postural partitioning.

Authors:  Muhannad Quwaider; Subir Biswas
Journal:  Ad Hoc Netw       Date:  2010-11       Impact factor: 4.111

4.  Dual System for Enhancing Cognitive Abilities of Children with ADHD Using Leap Motion and eye-Tracking Technologies.

Authors:  Begoña Garcia-Zapirain; Isabel de la Torre Díez; Miguel López-Coronado
Journal:  J Med Syst       Date:  2017-06-01       Impact factor: 4.460

5.  Episodic sampling: towards energy-efficient patient monitoring with wearable sensors.

Authors:  Lawrence K Au; Maxim A Batalin; Thanos Stathopoulos; Alex A T Bui; William J Kaiser
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

6.  Collaborative processing of wearable and ambient sensor system for blood pressure monitoring.

Authors:  Masayuki Nakamura; Jiro Nakamura; Guillaume Lopez; Masaki Shuzo; Ichiro Yamada
Journal:  Sensors (Basel)       Date:  2011-06-28       Impact factor: 3.576

7.  A mobility enabled inpatient monitoring system using a ZigBee medical sensor network.

Authors:  Hoi Ching Tung; Kim Fung Tsang; Ka Lun Lam; Hoi Yan Tung; Benjamin Yee Shing Li; Lam Fat Yeung; King Tim Ko; Wing Hong Lau; Veselin Rakocevic
Journal:  Sensors (Basel)       Date:  2014-01-30       Impact factor: 3.576

8.  Public Auditing with Privacy Protection in a Multi-User Model of Cloud-Assisted Body Sensor Networks.

Authors:  Song Li; Jie Cui; Hong Zhong; Lu Liu
Journal:  Sensors (Basel)       Date:  2017-05-05       Impact factor: 3.576

Review 9.  Systems and WBANs for Controlling Obesity.

Authors:  Maali Said Mohammed; Sandra Sendra; Jaime Lloret; Ignacio Bosch
Journal:  J Healthc Eng       Date:  2018-02-01       Impact factor: 2.682

10.  Physical Workload Tracking Using Human Activity Recognition with Wearable Devices.

Authors:  Jose Manjarres; Pedro Narvaez; Kelly Gasser; Winston Percybrooks; Mauricio Pardo
Journal:  Sensors (Basel)       Date:  2019-12-19       Impact factor: 3.576

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.