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Biomarkers for Detection of Parkinson’s Disease Using Machine Learning—A Short Review

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Soft Computing Techniques and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1248))

Abstract

Detection of Parkinson’s disease (PD) from the symptom of motor oriented and non-motor oriented anomalies is a very crucial task. One of the reasons behind this disease is the deficiency of dopaminergic neurons in the brain that leads to various neurodegenerative disorders in the human being mostly in an aged person. Vocal impairments to tremors, difficulty in walking are the prominent symptoms found in Parkinson’s disease. Medical scientists and practitioners introduced many biomarkers for ease of diagnosis of PD. This article provides a detailed analysis of various biomarkers such as acoustic, handwriting, Electroencephalography (EEG), and gait signals along with the associated machine learning approaches of PD subjects. This paper also enlightens the symptoms of PD in its various stages and delivers the information about the popular rating scales mostly referred by the medical practitioners during the diagnosis process.

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Author information

Authors and Affiliations

  1. Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Majitar, Sikkim, India

    Moumita Pramanik & Ratika Pradhan

  2. Department of Medicine, Sikkim Manipal Institute of Medical Sciences, Sikkim Manipal University, Gangtok, Sikkim, India

    Parvati Nandy

Authors
  1. Moumita Pramanik
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  2. Ratika Pradhan
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  3. Parvati Nandy
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Corresponding author

Correspondence to Moumita Pramanik .

Editor information

Editors and Affiliations

  1. Sikkim Manipal Institute of Technology, Majhitar, Sikkim, India

    Samarjeet Borah

  2. Sikkim Manipal Institute of Technology, Majhitar, Sikkim, India

    Ratika Pradhan

  3. Department of Computer Science and Engineering, JIS University, Kolkata, West Bengal, India

    Nilanjan Dey

  4. GLA University, Mathura, Uttar Pradesh, India

    Phalguni Gupta

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Pramanik, M., Pradhan, R., Nandy, P. (2021). Biomarkers for Detection of Parkinson’s Disease Using Machine Learning—A Short Review. In: Borah, S., Pradhan, R., Dey, N., Gupta, P. (eds) Soft Computing Techniques and Applications. Advances in Intelligent Systems and Computing, vol 1248. Springer, Singapore. https://doi.org/10.1007/978-981-15-7394-1_43

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