TY - GEN
T1 - Applying Deep Learning for the Examination of Voice Disorders in the Identification of Parkinson's Disease
AU - Gupta, Kushagra
AU - Jain, Vedant
AU - Andrew, J.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Parkinson's disease is a degenerative neurological condition marked by difficulties with coordination, tremors, and rigidity in the muscles. Positively, speech recordings show potential as a precocious biomarker for Parkinson's disease, able to identify minute alterations prior to the manifestation of other symptoms. The main objective of this research is to create a machine learning model that can analyse speech recordings and reliably determine whether Parkinson's disease is present. Key questions that the model aims to answer include how well it detects early signs of Parkinson's disease, how well it distinguishes between voice samples from healthy individuals and those from early stages of Parkinson's disease, and whether or not accuracy will vary depending on variables like the length or calibre of voice recordings. The primary goal is to use deep learning methods to analyse voice data to detect Parkinson's disease early on.
AB - Parkinson's disease is a degenerative neurological condition marked by difficulties with coordination, tremors, and rigidity in the muscles. Positively, speech recordings show potential as a precocious biomarker for Parkinson's disease, able to identify minute alterations prior to the manifestation of other symptoms. The main objective of this research is to create a machine learning model that can analyse speech recordings and reliably determine whether Parkinson's disease is present. Key questions that the model aims to answer include how well it detects early signs of Parkinson's disease, how well it distinguishes between voice samples from healthy individuals and those from early stages of Parkinson's disease, and whether or not accuracy will vary depending on variables like the length or calibre of voice recordings. The primary goal is to use deep learning methods to analyse voice data to detect Parkinson's disease early on.
UR - http://www.scopus.com/inward/record.url?scp=85191435417&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85191435417&partnerID=8YFLogxK
U2 - 10.1109/ICAIIHI57871.2023.10489145
DO - 10.1109/ICAIIHI57871.2023.10489145
M3 - Conference contribution
AN - SCOPUS:85191435417
T3 - International Conference on Artificial Intelligence for Innovations in Healthcare Industries, ICAIIHI 2023
BT - International Conference on Artificial Intelligence for Innovations in Healthcare Industries, ICAIIHI 2023
A2 - Swarnkar, Suman Kumar
A2 - Rathore, Yogesh Kumar
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Artificial Intelligence for Innovations in Healthcare Industries, ICAIIHI 2023
Y2 - 29 December 2023 through 30 December 2023
ER -