Literature DB >> 16437294

Applying the ISO/IEEE 11073 standards to wearable home health monitoring systems.

Jianchu Yao1, Steve Warren.   

Abstract

OBJECTIVE: The goal of this effort was to investigate the feasibility of applying the ISO/IEEE 11073 (a.k.a. X73) standards, originally intended for bedside monitoring in hospital environments, to wearable, multi-sensor monitoring systems designed for home healthcare.
METHODS: The X73 upper-layer sub-standards (i.e., nomenclature specification, domain information model, application profiles, and vital sign device descriptions) were adopted and implemented on microcontroller-based sensor hardware to provide plug-and-play medical components. Three types of system elements (base stations, data loggers, and sensor units) perform the functionality required in this standards-based home health monitoring system and communicate using Bluetooth wireless modules. The base station incorporates a LabVIEW interface running on a personal computer. Each data logger and sensor unit is implemented on a microcontroller-driven embedded platform. Sensor units include wearable sensors (e.g., electrocardiograph, pulse oximeter) and nearby sensors (e.g., weight scale, ambient environment sensors).
RESULTS: The standards-based prototype system with an open architecture achieves plug-and-play performance suitable for a home environment. Each wireless element in the body/home area network can automatically detect other nearby devices, associate with them, and exchange data with them as appropriate.
CONCLUSIONS: With minor modifications, the X73 standards can be successfully applied to wearable, wireless, point-of-care systems in the home.

Mesh:

Year:  2006        PMID: 16437294     DOI: 10.1007/s10877-005-2033-7

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  4 in total

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  4 in total
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Review 2.  Unobtrusive sensing and wearable devices for health informatics.

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Journal:  IEEE Trans Biomed Eng       Date:  2014-05       Impact factor: 4.538

3.  Automated integration of wireless biosignal collection devices for patient-centred decision-making in point-of-care systems.

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4.  Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams.

Authors:  Khader Shameer; Marcus A Badgeley; Riccardo Miotto; Benjamin S Glicksberg; Joseph W Morgan; Joel T Dudley
Journal:  Brief Bioinform       Date:  2016-02-14       Impact factor: 11.622

5.  A Frequency Pattern Mining Model Based on Deep Neural Network for Real-Time Classification of Heart Conditions.

Authors:  Hyun Yoo; Soyoung Han; Kyungyong Chung
Journal:  Healthcare (Basel)       Date:  2020-07-26
  5 in total

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