TY - GEN
T1 - Feedback Vocal Rehabilitation Software Applied to Mobile Devices for Maximum Phonation Time
AU - Lin, Jia Yi
AU - Huang, Yu Chi
AU - Horng, Gwo Jiun
AU - Hsu, Chien Cin
AU - Chen, Chao Chun
N1 - Funding Information:
Acknowledgment. This work was supported in part by the “Allied Advanced Intelligent Biomedical Research Center, STUST” from Higher Education Sprout Project, Ministry of Education, Taiwan.
Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - The key to the maximum phonation time (MPT) is how much lung capacity you have. If the MPT is too short, one cannot cut the sentences inappropriate time and lead to communication difficulties. However, there is no research on the effect of using feedback software for vocal rehabilitation in the past, especially for those who cannot increase their vital capacity through exercise. Therefore, we designed two tests for the experiment in our study. First, using mobile devices to collect MPT and Intensity Level (IL) data in a quiet space of 40 adults whose cognitive status is normal, and analyzing their characteristic changes. Then, we use the mobile device to perform MPT feedback rehabilitation and collect two characteristic data again. The purpose of our study is to understand the effects of using feedback vocal rehabilitation software.
AB - The key to the maximum phonation time (MPT) is how much lung capacity you have. If the MPT is too short, one cannot cut the sentences inappropriate time and lead to communication difficulties. However, there is no research on the effect of using feedback software for vocal rehabilitation in the past, especially for those who cannot increase their vital capacity through exercise. Therefore, we designed two tests for the experiment in our study. First, using mobile devices to collect MPT and Intensity Level (IL) data in a quiet space of 40 adults whose cognitive status is normal, and analyzing their characteristic changes. Then, we use the mobile device to perform MPT feedback rehabilitation and collect two characteristic data again. The purpose of our study is to understand the effects of using feedback vocal rehabilitation software.
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U2 - 10.1007/978-3-030-69717-4_101
DO - 10.1007/978-3-030-69717-4_101
M3 - Conference contribution
AN - SCOPUS:85103434241
SN - 9783030697167
T3 - Advances in Intelligent Systems and Computing
SP - 1074
EP - 1082
BT - Advanced Machine Learning Technologies and Applications - Proceedings of AMLTA 2021
A2 - Hassanien, Aboul-Ella
A2 - Chang, Kuo-Chi
A2 - Mincong, Tang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2021
Y2 - 22 March 2021 through 24 March 2021
ER -