Textile Piezoresistive Sensors for Biomechanical Variables Monitoring

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Aug 2006Publisher:IEEEJournal:2006 International Conference of the IEEE Engineering in Medicine and Biology Society (issn: 1557-170X,

Copyright policy )

Authors: Maria Pacelli; Laura Caldani; Rita Paradiso;

doi: 10.1109/iembs.2006.4398664 , 10.1109/iembs.2006.259287

pmid: 17946696

Textile Piezoresistive Sensors for Biomechanical Variables Monitoring

- Summary
- Subjects
- Metrics

Abstract

In this paper is described the study leading to the implementation of two novel classes of textile piezoresistive sensors, for application in the field of post stroke rehabilitation and cardiovascular diseases monitoring. Two different approaches have been used, the first one leading to the realization of knitted transducer fabric to be integrated in bio-clothes for motion activity and respiration monitoring through plethysmography, the other one leading to printed sensing clothes for movement and posture detection. In particular, this work focuses on the optimization of sensors performances in term of sensing properties with the final objective to go towards a mass production.

Related Organizations

University of Pisa
Italy

Keywords

Neurons, Textiles, Transducers, Biomedical Engineering, Electric Conductivity, Monitoring, Ambulatory, Equipment Design, Telemedicine, Biomechanical Phenomena, Clothing, Plethysmography, Materials Testing, Humans, Telemetry, Diagnosis, Computer-Assisted

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	46
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average