Literature DB >> 30703002

Wrap-Around Wearable Coils for Seamless Monitoring of Joint Flexion.

Vigyanshu Mishra, Asimina Kiourti.   

Abstract

OBJECTIVE: We introduce and validate a new class of wearable coils that seamlessly monitor joint flexion in the individual's natural environment while overcoming shortcomings in state-of-the-art.
METHODS: Our approach relies on Faraday's law of induction and employs wrap-around transmit and receive coils that get angularly misaligned as the joint flexes.
RESULTS: Simulation and in vitro measurement results for both copper and e-thread coils are in excellent agreement. As a proof-of-concept, a cylindrical arm model is considered and feasibility of monitoring the 0°-130° range of motion is confirmed. The operation frequency of 34 MHz is identified as optimal, bringing forward reduced power requirements, enhanced angular resolution, and extreme robustness to tissue dielectric property variations. Performance benchmarking versus state-of-the-art inertial measurement units shows equivalent or superior performance, particularly for flexion angles greater than 20°. Design guidelines and safety considerations are also explored.
CONCLUSION: Contrary to "gold-standard" camera-based motion capture, the reported approach is not restricted to contrived environments. Concurrently, it does not suffer from integration drift (unlike inertial measurement units), it does not require line-of-sight (unlike time-of-flight sensors), and it does not restrict natural joint movement (unlike bending sensors). SIGNIFICANCE: The reported approach is envisioned to be seamlessly integrated into garments and, eventually, redefine the way joint flexion is monitored at present. This promises unprecedented opportunities for rehabilitation, sports, gestural interaction, and more.

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Mesh:

Year:  2019        PMID: 30703002     DOI: 10.1109/TBME.2019.2895293

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  2 in total

1.  A Simple Low-Cost Wearable Sensor for Long-Term Ambulatory Monitoring of Knee Joint Kinematics.

Authors:  Brandon Oubre; Jean-Francois Daneault; Katherine Boyer; Jae Hyun Kim; Mahmood Jasim; Paolo Bonato; Sunghoon Ivan Lee
Journal:  IEEE Trans Biomed Eng       Date:  2020-11-19       Impact factor: 4.538

2.  Modeling Fabric Movement for Future E-Textile Sensors.

Authors:  Roope Ketola; Vigyanshu Mishra; Asimina Kiourti
Journal:  Sensors (Basel)       Date:  2020-07-03       Impact factor: 3.576

  2 in total

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