Literature DB >> 25570027

Monitoring activities of daily living based on wearable wireless body sensor network.

E Kańtoch, P Augustyniak, M Markiewicz, D Prusak.   

Abstract

With recent advances in microprocessor chip technology, wireless communication, and biomedical engineering it is possible to develop miniaturized ubiquitous health monitoring devices that are capable of recording physiological and movement signals during daily life activities. The aim of the research is to implement and test the prototype of health monitoring system. The system consists of the body central unit with Bluetooth module and wearable sensors: the custom-designed ECG sensor, the temperature sensor, the skin humidity sensor and accelerometers placed on the human body or integrated with clothes and a network gateway to forward data to a remote medical server. The system includes custom-designed transmission protocol and remote web-based graphical user interface for remote real time data analysis. Experimental results for a group of humans who performed various activities (eg. working, running, etc.) showed maximum 5% absolute error compared to certified medical devices. The results are promising and indicate that developed wireless wearable monitoring system faces challenges of multi-sensor human health monitoring during performing daily activities and opens new opportunities in developing novel healthcare services.

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Year:  2014        PMID: 25570027     DOI: 10.1109/EMBC.2014.6943659

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


  3 in total

1.  Integrated Framework of Load Monitoring by a Combination of Smartphone Applications, Wearables and Point-of-Care Testing Provides Feedback that Allows Individual Responsive Adjustments to Activities of Daily Living.

Authors:  Peter Düking; Silvia Achtzehn; Hans-Christer Holmberg; Billy Sperlich
Journal:  Sensors (Basel)       Date:  2018-05-19       Impact factor: 3.576

Review 2.  Working against the biological clock: a review for the Occupational Physician.

Authors:  Alfredo Copertaro; Massimo Bracci
Journal:  Ind Health       Date:  2019-02-22       Impact factor: 2.179

3.  Energy-Efficient Elderly Fall Detection System Based on Power Reduction and Wireless Power Transfer.

Authors:  Sadik Kamel Gharghan; Saif Saad Fakhrulddin; Ali Al-Naji; Javaan Chahl
Journal:  Sensors (Basel)       Date:  2019-10-14       Impact factor: 3.576

  3 in total

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