Cited by 165Voice and Speech DisordersEmotion and Mood RecognitionArtificial Intelligence in Healthcare

Parkinson disease prediction using intrinsic mode function based features from speech signal

Karan, Biswajit, Sahu, Sitanshu Sekhar, Mahto, Kartik·2020·Biocybernetics and Biomedical Engineering

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Crossref · 10.1016/j.bbe.2019.05.005

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1 of 1 references verified0 citation errors · 0 not checkable

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Authors
Karan, B., Sahu, S. S., & Mahto, K.
Affiliations
Birla Institute of Technology, Mesra (IN)
Corresponding author
Sahu, Sitanshu Sekhar
Venue
Biocybernetics and Biomedical Engineering
Publisher
Elsevier BV
Published
2020-01
Volume
40
Issue
1
Pages
249-264
ISSN
0208-5216 (ISSN-L)
OpenAlex
W2946595724
Cited by
165
References
1
Citations by year
2026: 13 · 2025: 25 · 2024: 23 · 2023: 34 · 2022: 31 · 2021: 19 · 2020: 17 · 2019: 3
FWCI
12.04
Type
journal article
Language
en
Open access
closed
Locations
Journal of Applied Biomedicine (publishedVersion)
Topics
  • Health Sciences › Medicine › Physiology › Voice and Speech Disorders
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
Keywords
Parkinson's disease, speech analysis, empirical mode decomposition, intrinsic mode functions, cepstral coefficients, speech feature extraction, non-stationary signals, early diagnosis, Parkinson's disease prediction

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