Literature DB >> 21545293

A wearable respiratory biofeedback system based on generalized body sensor network.

Guan-Zheng Liu1, Bang-Yu Huang, Lei Wang.   

Abstract

Wearable medical devices have enabled unobtrusive monitoring of vital signs and emerging biofeedback services in a pervasive manner. This article describes a wearable respiratory biofeedback system based on a generalized body sensor network (BSN) platform. The compact BSN platform was tailored for the strong requirements of overall system optimizations. A waist-worn biofeedback device was designed using the BSN. Extensive bench tests have shown that the generalized BSN worked as intended. In-situ experiments with 22 subjects indicated that the biofeedback device was discreet, easy to wear, and capable of offering wearable respiratory trainings. Pilot studies on wearable training patterns and resultant heart rate variability suggested that paced respirations at abdominal level and with identical inhaling/exhaling ratio were more appropriate for decreasing sympathetic arousal and increasing parasympathetic activities.

Mesh:

Year:  2011        PMID: 21545293      PMCID: PMC3109078          DOI: 10.1089/tmj.2010.0182

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  17 in total

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Journal:  Appl Psychophysiol Biofeedback       Date:  2008-09-19

5.  Slowed respiration training.

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10.  Device-guided paced breathing in the home setting: effects on exercise capacity, pulmonary and ventricular function in patients with chronic heart failure: a pilot study.

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  11 in total

1.  Estimation of respiration rate from three-dimensional acceleration data based on body sensor network.

Authors:  Guan-Zheng Liu; Yan-Wei Guo; Qing-Song Zhu; Bang-Yu Huang; Lei Wang
Journal:  Telemed J E Health       Date:  2011-11       Impact factor: 3.536

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Journal:  Transl Behav Med       Date:  2012-03       Impact factor: 3.046

4.  Sensorized garments and textrode-enabled measurement instrumentation for ambulatory assessment of the autonomic nervous system response in the ATREC project.

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5.  Wearable biomedical measurement systems for assessment of mental stress of combatants in real time.

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6.  A Biofeedback App to Instruct Abdominal Breathing (Breathing-Mentor): Pilot Experiment.

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7.  Combination of wearable multi-biosensor platform and resonance frequency training for stress management of the unemployed population.

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8.  A new approach to detect congestive heart failure using short-term heart rate variability measures.

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9.  An Energy-Efficient Algorithm for Wearable Electrocardiogram Signal Processing in Ubiquitous Healthcare Applications.

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10.  Detecting Congestive Heart Failure by Extracting Multimodal Features and Employing Machine Learning Techniques.

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