|Table of Contents|

Analysis of physiological voice characteristics based on statistics(PDF)

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

Issue:
2023年第4期
Page:
463-468
Research Field:
医学生物物理
Publishing date:

Info

Title:
Analysis of physiological voice characteristics based on statistics
Author(s):
QIN Caimeng1 LU Tao1 LU Yu2
1. School of Life Science, Beijing University of Chinese Medicine, Beijing 100029, China 2. Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China
Keywords:
Keywords: physiological period ovulatory period menstrual period voice feature
PACS:
生理期;排卵期;月经期;语音特征
DOI:
DOI:10.3969/j.issn.1005-202X.2023.04.011
Abstract:
Abstract: Objective To establish a rapid, accurate, safe and non-invasive mode of physiological voice monitoring. Methods The physiological voice characteristics of women in reproductive age were analyzed with auscultation and olfaction. The ovulatory period, menstrual period, and the degree of dysmenorrhea were used as the discriminatory basis to screen out the differential voice frequency characteristics that could reflect the above indications, and a regression model was established. Results Among the 242 voice indicators, there were 14, 11 and 4 voice indicators which were significantly different between ovulation and non-ovulation, menstruation and non-menstruation, and in 4 dysmenorrhea degrees, respectively. The voice resonance peak time sequence5 and the maximum energy frequency to time ratio of the most sustained frame were associated with ovulatory period and the highest energy frequency band number was negatively associated with menstrual period and the tone scale was positively correlated with the degree of dysmenorrhea. Conclusion Women of reproductive age show characteristic changes in voice during the physiological period, which has certain predictive ability for ovulation and menstruation, and has certain reference value for quantifying the degree of dysmenorrhea.

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Last Update: 2023-04-25