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Techniques for Assessment of Parkinsonism for Diagnosis and Rehabilitation pp 119–133Cite as

Voice Analysis for Diagnosis and Monitoring Parkinson’s Disease

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Abstract

Parkinson’s disease (PD) has complex and multi-symptoms, making it challenging to detect early-stage disease and to monitor the established patients. This also makes it challenging to design the protocol for conducting clinical trials to establish new medication and treatment to better support people with PD.

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Author information

Authors and Affiliations

  1. School of Engineering, RMIT University, Melbourne, VIC, 3000, Australia

    Nemuel D. Pah, M. A. Motin & D. K. Kumar

  2. Universitas Surabaya, Surabaya, 60293, Indonesia

    Nemuel D. Pah

Authors
  1. Nemuel D. Pah
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  2. M. A. Motin
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  3. D. K. Kumar
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Correspondence to Nemuel D. Pah .

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Editors and Affiliations

  1. Department of Electronics and Instrumentation Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India

    Prof. Dr. Sridhar P. Arjunan

  2. Biosignals lab, School of Engineering, RMIT University, Melbourne, VIC, Australia

    Prof. Dr. Dinesh Kant Kumar

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Pah, N.D., Motin, M.A., Kumar, D.K. (2022). Voice Analysis for Diagnosis and Monitoring Parkinson’s Disease. In: Arjunan, S.P., Kumar, D.K. (eds) Techniques for Assessment of Parkinsonism for Diagnosis and Rehabilitation. Series in BioEngineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-3056-9_8

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  • DOI: https://doi.org/10.1007/978-981-16-3056-9_8

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