Literature DB >> 33401380

Inductive Textile Sensor Design and Validation for a Wearable Monitoring Device.

Astrid García Patiño1, Carlo Menon1.   

Abstract

Textile sensors have gained attention for wearable devices, in which the most popular are the resistive textile sensor. However, these sensors present high hysteresis and a drift when stretched for long periods of time. Inductive textile sensors have been commonly used as antennas and plethysmographs, and their applications have been extended to measure heartbeat, wireless data transmission, and motion and gesture capturing systems. Inductive textile sensors have shown high reliability, stable readings, low production cost, and an easy manufacturing process. This paper presents the design and validation of an inductive strain textile sensor. The anthropometric dimensions of a healthy participant were used to define the maximum dimensions of the inductive textile sensor. The design of the inductive sensor was studied through theoretical calculations and simulations. Parameters such as height, width, area, perimeter, and number of complete loops were considered to calculate and evaluate the inductance value.

Entities:  

Keywords:  E-textiles; inductance; smart garment; textile sensors; wearable device

Mesh:

Year:  2021        PMID: 33401380      PMCID: PMC7795763          DOI: 10.3390/s21010225

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  13 in total

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Authors:  Rita Paradiso; Giannicola Loriga; Nicola Taccini
Journal:  IEEE Trans Inf Technol Biomed       Date:  2005-09

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4.  The effect of textile-based inductive coil sensor positions for heart rate monitoring.

Authors:  Hye Ran Koo; Young-Jae Lee; Sunok Gi; Seonah Khang; Joo Hyeon Lee; Jae-Ho Lee; Min-Gyu Lim; Hee-Jung Park; Jeong-Whan Lee
Journal:  J Med Syst       Date:  2014-01-31       Impact factor: 4.460

5.  Prediction of back strength using anthropometric and strength measurements in healthy females.

Authors:  M Wang; A B Leger; G A Dumas
Journal:  Clin Biomech (Bristol, Avon)       Date:  2005-08       Impact factor: 2.063

6.  Understanding nurses' and physicians' fear of repercussions for reporting errors: clinician characteristics, organization demographics, or leadership factors?

Authors:  Evan S Castel; Liane R Ginsburg; Shahram Zaheer; Hala Tamim
Journal:  BMC Health Serv Res       Date:  2015-08-14       Impact factor: 2.655

7.  Trunk Motion System (TMS) Using Printed Body Worn Sensor (BWS) via Data Fusion Approach.

Authors:  Mohammad Iman Mokhlespour Esfahani; Omid Zobeiri; Behzad Moshiri; Roya Narimani; Mohammad Mehravar; Ehsan Rashedi; Mohamad Parnianpour
Journal:  Sensors (Basel)       Date:  2017-01-08       Impact factor: 3.576

8.  Textile-based weft knitted strain sensors: effect of fabric parameters on sensor properties.

Authors:  Ozgur Atalay; William Richard Kennon; Muhammad Dawood Husain
Journal:  Sensors (Basel)       Date:  2013-08-21       Impact factor: 3.576

9.  Textile-Based, Interdigital, Capacitive, Soft-Strain Sensor for Wearable Applications.

Authors:  Ozgur Atalay
Journal:  Materials (Basel)       Date:  2018-05-10       Impact factor: 3.623

10.  Wearable Device to Monitor Back Movements Using an Inductive Textile Sensor.

Authors:  Astrid García Patiño; Mahta Khoshnam; Carlo Menon
Journal:  Sensors (Basel)       Date:  2020-02-08       Impact factor: 3.576

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