Tokuno / Nakamura Voice Biomarkers
1. Auflage 2025
ISBN: 978-981-963109-4
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
Current Status and Issues in the Development
E-Book, Englisch, 215 Seiten
ISBN: 978-981-963109-4
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book presents the latest research on speech biomarkers and demonstrates the benefits of quantitative measurement technology for emotion and stress in clinical settings. It begins with an introduction and details the validation of a technique for assessing emotions using voice biomarkers. This technology evaluates stress levels, which affect emotional expression and lead to changes in certain voice qualities. It further explains how a voice emotion recognition system can effectively detect illnesses such as anxiety disorders, depression, bipolar disorder, PTSD, Parkinson’s disease, dementia, and more. Beyond clinical applications, it is also useful for the mental care of athletes and assessing driving skills. Voice biomarkers can be easily, non-invasively, and remotely measured, offering excellent cost efficiency. This book lays the groundwork for addressing unresolved issues and advancing further.
"Voice Biomarkers - Current Status and Issues in the Development" is an invaluable resource for healthcare professionals at all levels, especially those involved in pathophysiology, disaster psychology, mental health, and social medicine. Researchers in engineering will also find this book insightful.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
1 Overview of Voice Biomarkers.- 2 Stress and Depressive Symptoms: Development of Psycho-analyzer.- 3 Stress and Depressive Symptoms: Development of MIMOSYS (Mind Monitoring System).- 4 Stress and Depressive Symptoms: Validation of MIMOSYS (engineering).- 5 Stress and Depressive Symptoms: Validation of MIMOSYS (clinical).- 6 Stress and Depressive Symptoms: Utilization of MIMOSYS.- 7 Depression: Jitter, Shimmer, HNR, Pitch Rate.- 8 Depression: Our Original Features.- 9 Depression: Machine learning.- 10 Depression: Logistic regression.- 11 Depression: Multiple regression.- 12 Bipolar disorder.- 13 PTSD.- 14 Parkinson’s disease.- 15 Dementia.- 16 Differential Diagnosis.- 17 Sleep Apnea Syndrome.- 18 ADEL (Ankyloglossia with Deviation of the Epiglottis and Larynx).- 19 USV (Ultrasonic Vocalization).- 20 Driving.- 21 COVID- 19.
