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A Smart Tendon Hammer System for Remote Neurological Examination
The deep tendon reflex exam is an important part of neurological assessment of patients consisting of two components, reflex elicitation and reflex grading. While this exam has traditionally been performed in person, with trained clinicians both eliciting and grading the reflex, this work seeks to e...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8008115/ https://www.ncbi.nlm.nih.gov/pubmed/33796552 http://dx.doi.org/10.3389/frobt.2021.618656 |
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author | Meinhold, Waiman Yamakawa, Yoshinori Honda, Hiroshi Mori, Takayuki Izumi, Shin-ichi Ueda, Jun |
author_facet | Meinhold, Waiman Yamakawa, Yoshinori Honda, Hiroshi Mori, Takayuki Izumi, Shin-ichi Ueda, Jun |
author_sort | Meinhold, Waiman |
collection | PubMed |
description | The deep tendon reflex exam is an important part of neurological assessment of patients consisting of two components, reflex elicitation and reflex grading. While this exam has traditionally been performed in person, with trained clinicians both eliciting and grading the reflex, this work seeks to enable the exam by novices. The COVID-19 pandemic has motivated greater utilization of telemedicine and other remote healthcare delivery tools. A smart tendon hammer capable of streaming acceleration measurements wirelessly allows differentiation of correct and incorrect tapping locations with 91.5% accuracy to provide feedback to users about the appropriateness of stimulation, enabling reflex elicitation by laypeople, while survey results demonstrate that novices are reasonably able to grade reflex responses. Novice reflex grading demonstrates adequate performance with a mean error of 0.2 points on a five point scale. This work shows that by assisting in the reflex elicitation component of the reflex exam via a smart hammer and feedback application, novices should be able to complete the reflex exam remotely, filling a critical gap in neurological care during the COVID-19 pandemic. |
format | Online Article Text |
id | pubmed-8008115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80081152021-03-31 A Smart Tendon Hammer System for Remote Neurological Examination Meinhold, Waiman Yamakawa, Yoshinori Honda, Hiroshi Mori, Takayuki Izumi, Shin-ichi Ueda, Jun Front Robot AI Robotics and AI The deep tendon reflex exam is an important part of neurological assessment of patients consisting of two components, reflex elicitation and reflex grading. While this exam has traditionally been performed in person, with trained clinicians both eliciting and grading the reflex, this work seeks to enable the exam by novices. The COVID-19 pandemic has motivated greater utilization of telemedicine and other remote healthcare delivery tools. A smart tendon hammer capable of streaming acceleration measurements wirelessly allows differentiation of correct and incorrect tapping locations with 91.5% accuracy to provide feedback to users about the appropriateness of stimulation, enabling reflex elicitation by laypeople, while survey results demonstrate that novices are reasonably able to grade reflex responses. Novice reflex grading demonstrates adequate performance with a mean error of 0.2 points on a five point scale. This work shows that by assisting in the reflex elicitation component of the reflex exam via a smart hammer and feedback application, novices should be able to complete the reflex exam remotely, filling a critical gap in neurological care during the COVID-19 pandemic. Frontiers Media S.A. 2021-03-16 /pmc/articles/PMC8008115/ /pubmed/33796552 http://dx.doi.org/10.3389/frobt.2021.618656 Text en Copyright © 2021 Meinhold, Yamakawa, Honda, Mori, Izumi and Ueda. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Robotics and AI Meinhold, Waiman Yamakawa, Yoshinori Honda, Hiroshi Mori, Takayuki Izumi, Shin-ichi Ueda, Jun A Smart Tendon Hammer System for Remote Neurological Examination |
title | A Smart Tendon Hammer System for Remote Neurological Examination |
title_full | A Smart Tendon Hammer System for Remote Neurological Examination |
title_fullStr | A Smart Tendon Hammer System for Remote Neurological Examination |
title_full_unstemmed | A Smart Tendon Hammer System for Remote Neurological Examination |
title_short | A Smart Tendon Hammer System for Remote Neurological Examination |
title_sort | smart tendon hammer system for remote neurological examination |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8008115/ https://www.ncbi.nlm.nih.gov/pubmed/33796552 http://dx.doi.org/10.3389/frobt.2021.618656 |
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