A data science approach for reliable classification of neuro-degenerative diseases using gait patterns
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ORIGINAL ARTICLE
A data science approach for reliable classification of neuro-degenerative diseases using gait patterns Haya Alaskar1 Zohra Sbaï1,5
· Abir Jaafar Hussain2 · Wasiq Khan2 · Hissam Tawfik3 · Pip Trevorrow3 · Panos Liatsis4 ·
Received: 25 June 2020 / Accepted: 29 September 2020 © Springer Nature Switzerland AG 2020
Abstract Neuro-degenerative diseases (NDD) continue to increase globally and have significant impact on health, developmental and financial fronts. Recent studies have shown that gait impairment as one of the earliest signs of the disease. However, classification of multiple types of NDD becomes more challenging because of the high overlapping symptoms specifically at early stages. This paper entails a composite of signal processing and machine intelligence algorithms to process the gait data captured through multi-sensors for a reliable classification different types of NDD. The captured dataset used in this research consisted of 60 patients’ records representing three different types of NDD. Our simulation results indicated that the proposed approach outperformed existing works in this domain. The proposed work might help the mitigation plans for NDD, reliable monitoring of the disease progression and can assist the evaluation of possible therapy and treatments that would benefit the individuals, associated families, society and healthcare services. Keywords Sensor gait signals · Neuro-degenerative diseases · Classification · Data mining · Machine learning
1 Introduction Neuro-degenerative diseases (NDD) have been progressing across the globe and have significant impacts on health, developmental and financial fronts. The National Institute of Environmental Health Sciences (NIH) statistics indicate millions of people suffering from the NDD worldwide [1]. In these diseases, the motor neurons progressively die while affecting the movement (i.e., ataxia), and/or mental abilities (e.g., dementia) [2]. Among the various types of these diseases, Alzheimer, Parkinson’s (PD), Huntington, and amyotrophic lateral sclerosis (ALS) are the most common. In this study, three types of neurodegenerative diseases will be examined namely, Parkinson’s, Huntington and ALS.
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Haya Alaskar [email protected]
1
Prince Sattam Bin Abdulaziz University, Alkharj, Kingdom of Saudi Arabia
2
Liverpool John Moores University, Liverpool, UK
3
Leeds Beckett University, Leeds, UK
4
Khalifa University, Abu Dhabi, United Arab Emirates
5
Tunis El Manar University, Tunis, Tunisia
The symptoms of brain disorder in these diseases become inferior with the progression of time. An increment in the death rate and enfeebled health conditions are the most inauspicious effects on people. There are some specific treatments that can be used to deal with certain symptoms however; there is no current treatment that could be used for the complete cure or even to degrade the severity level of these diseases [1]. Furthermore, classification of these diseases becomes more challenging because of the high overlapping symptoms s
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