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Vocal pain expression augmentation for a robopatient
Abdominal palpation is one of the basic but important physical examination methods used by physicians. Visual, auditory, and haptic feedback from the patients are known to be the main sources of feedback they use in the diagnosis. However, learning to interpret this feedback and making accurate diag...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10524268/ https://www.ncbi.nlm.nih.gov/pubmed/37771605 http://dx.doi.org/10.3389/frobt.2023.1122914 |
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author | Protpagorn, Namnueng Lalitharatne, Thilina Dulantha Costi, Leone Iida, Fumiya |
author_facet | Protpagorn, Namnueng Lalitharatne, Thilina Dulantha Costi, Leone Iida, Fumiya |
author_sort | Protpagorn, Namnueng |
collection | PubMed |
description | Abdominal palpation is one of the basic but important physical examination methods used by physicians. Visual, auditory, and haptic feedback from the patients are known to be the main sources of feedback they use in the diagnosis. However, learning to interpret this feedback and making accurate diagnosis require several years of training. Many abdominal palpation training simulators have been proposed to date, but very limited attempts have been reported in integrating vocal pain expressions into physical abdominal palpation simulators. Here, we present a vocal pain expression augmentation for a robopatient. The proposed robopatient is capable of providing real-time facial and vocal pain expressions based on the exerted palpation force and position on the abdominal phantom of the robopatient. A pilot study is conducted to test the proposed system, and we show the potential of integrating vocal pain expressions to the robopatient. The platform has also been tested by two clinical experts with prior experience in abdominal palpation. Their evaluations on functionality and suggestions for improvements are presented. We highlight the advantages of the proposed robopatient with real-time vocal and facial pain expressions as a controllable simulator platform for abdominal palpation training studies. Finally, we discuss the limitations of the proposed approach and suggest several future directions for improvements. |
format | Online Article Text |
id | pubmed-10524268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105242682023-09-28 Vocal pain expression augmentation for a robopatient Protpagorn, Namnueng Lalitharatne, Thilina Dulantha Costi, Leone Iida, Fumiya Front Robot AI Robotics and AI Abdominal palpation is one of the basic but important physical examination methods used by physicians. Visual, auditory, and haptic feedback from the patients are known to be the main sources of feedback they use in the diagnosis. However, learning to interpret this feedback and making accurate diagnosis require several years of training. Many abdominal palpation training simulators have been proposed to date, but very limited attempts have been reported in integrating vocal pain expressions into physical abdominal palpation simulators. Here, we present a vocal pain expression augmentation for a robopatient. The proposed robopatient is capable of providing real-time facial and vocal pain expressions based on the exerted palpation force and position on the abdominal phantom of the robopatient. A pilot study is conducted to test the proposed system, and we show the potential of integrating vocal pain expressions to the robopatient. The platform has also been tested by two clinical experts with prior experience in abdominal palpation. Their evaluations on functionality and suggestions for improvements are presented. We highlight the advantages of the proposed robopatient with real-time vocal and facial pain expressions as a controllable simulator platform for abdominal palpation training studies. Finally, we discuss the limitations of the proposed approach and suggest several future directions for improvements. Frontiers Media S.A. 2023-09-13 /pmc/articles/PMC10524268/ /pubmed/37771605 http://dx.doi.org/10.3389/frobt.2023.1122914 Text en Copyright © 2023 Protpagorn, Lalitharatne, Costi and Iida. https://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 Protpagorn, Namnueng Lalitharatne, Thilina Dulantha Costi, Leone Iida, Fumiya Vocal pain expression augmentation for a robopatient |
title | Vocal pain expression augmentation for a robopatient |
title_full | Vocal pain expression augmentation for a robopatient |
title_fullStr | Vocal pain expression augmentation for a robopatient |
title_full_unstemmed | Vocal pain expression augmentation for a robopatient |
title_short | Vocal pain expression augmentation for a robopatient |
title_sort | vocal pain expression augmentation for a robopatient |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10524268/ https://www.ncbi.nlm.nih.gov/pubmed/37771605 http://dx.doi.org/10.3389/frobt.2023.1122914 |
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