Literature DB >> 25585657

Electro-resistive bands for non-invasive cardiac and respiration monitoring, a feasibility study.

Gaetano D Gargiulo1, Aiden O'Loughlin, Paul P Breen.   

Abstract

Continuous unobtrusive monitoring of tidal volume, particularly for critical care patients (i.e. neonates and patients in intensive care) during sleep studies and during daily activities, is still an unresolved monitoring need. Also a successful monitoring solution is yet to be proposed for continuous non-invasive cardiac stroke volume monitoring that is a novel clinical need.In this paper we present the feasibility study for a wearable, non-invasive, non-contact and unobtrusive sensor (embedded in a standard T-shirt) based on four electro-resistive bands that simultaneously monitors tidal volume and cardiac stroke volume changes. This low power sensor system (requires only 100 mW and accepts a wide power supply range up to ±18 V); thus the sensor can be easily embedded in existing wearable solutions (i.e. Holter monitors). Moreover, being contactless, it can be worn over bandages or electrodes, and as it does not rely over the integrity of the garment to work, it allows practitioners to perform procedures during monitoring. For this preliminary evaluation, one subject has worn the sensor over the period of 24 h (removing it only to shower); the accuracy of the tidal volume tested against a portable spirometer reported a precision of ±10% also during physical activity; accuracy tests for cardiac output (as it may require invasive procedure) have not been carried out in this preliminary trial.

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Year:  2015        PMID: 25585657     DOI: 10.1088/0967-3334/36/2/N35

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  3 in total

1.  Towards Ultra Low-Cost Myoactivated Prostheses.

Authors:  Neethu Sreenivasan; Diego Felipe Ulloa Gutierrez; Paolo Bifulco; Mario Cesarelli; Upul Gunawardana; Gaetano D Gargiulo
Journal:  Biomed Res Int       Date:  2018-10-04       Impact factor: 3.411

2.  Groundtruth: A Matlab GUI for Artifact and Feature Identification in Physiological Signals.

Authors:  Ganesh R Naik; Gaetano D Gargiulo; Jorge M Serrador; Paul P Breen
Journal:  Front Physiol       Date:  2019-08-20       Impact factor: 4.566

3.  Characterisation of Morphic Sensors for Body Volume and Shape Applications.

Authors:  Sami El Arja; Titus Jayarathna; Ganesh Naik; Paul Breen; Gaetano Gargiulo
Journal:  Sensors (Basel)       Date:  2019-12-22       Impact factor: 3.576

  3 in total

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