TY - GEN
T1 - A proposal of evaluation method using a pressure sensor for supporting auscultation training
AU - Kodera, Yuki
AU - Yagi, Kunimasa
AU - Shikida, Mikifumi
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/18
Y1 - 2020/11/18
N2 - Japanese medical education has been focused on improving clinical skills lately. In clinical training, there are many training such as medical interview, palpation, and auscultation. However, assessment points of these training are not quantified. Therefore, it is difficult for a trainer to check clinical skills and attitudes of student doctors objectively. Auscultation is a fundamental skill, but it is difficult to assess objectively and, therefore, difficult to give appropriate feedback. In this paper, we proposed an evaluation method for auscultation pressure using a pressure sensor for a purpose of supporting auscultation training, which is one kind of clinical training. In addition, we implemented a prototype system, and collected pressure values during an actual doctor's examination. Moreover, We discussed feature extraction method for supporting auscultation training from the collected data. Furthermore, we described that the proposed method is useful as one of ways for supporting the auscultation training.
AB - Japanese medical education has been focused on improving clinical skills lately. In clinical training, there are many training such as medical interview, palpation, and auscultation. However, assessment points of these training are not quantified. Therefore, it is difficult for a trainer to check clinical skills and attitudes of student doctors objectively. Auscultation is a fundamental skill, but it is difficult to assess objectively and, therefore, difficult to give appropriate feedback. In this paper, we proposed an evaluation method for auscultation pressure using a pressure sensor for a purpose of supporting auscultation training, which is one kind of clinical training. In addition, we implemented a prototype system, and collected pressure values during an actual doctor's examination. Moreover, We discussed feature extraction method for supporting auscultation training from the collected data. Furthermore, we described that the proposed method is useful as one of ways for supporting the auscultation training.
KW - Clinical training
KW - Medical education
KW - Pressure sensor
KW - Supporting auscultation training
UR - http://www.scopus.com/inward/record.url?scp=85103740886&partnerID=8YFLogxK
U2 - 10.1109/iSAI-NLP51646.2020.9376779
DO - 10.1109/iSAI-NLP51646.2020.9376779
M3 - 会議への寄与
AN - SCOPUS:85103740886
T3 - Proceedings - 2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2020
BT - Proceedings - 2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2020
Y2 - 18 November 2020 through 20 November 2020
ER -