Internet of things technologies and machine learning methods for Parkinson's disease diagnosis, monitoring and management: a systematic review

KM Giannakopoulou, I Roussaki, K Demestichas - Sensors, 2022 - mdpi.com
Parkinson's disease is a chronic neurodegenerative disease that affects a large portion of
the population, especially the elderly. It manifests with motor, cognitive and other types of …

Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review

H Zhao, J Cao, J Xie, WH Liao, Y Lei, H Cao… - Digital …, 2023 - journals.sagepub.com
Objective Neurodegenerative diseases affect millions of families around the world, while
various wearable sensors and corresponding data analysis can be of great support for …

Detection and classification of early stages of Parkinson's disease through wearable sensors and machine learning

A Shcherbak, E Kovalenko… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Parkinson's disease (PD) is a neurodegenerative disease which is among the most spread
and growing common neurodegenerative disorders. It significantly limits the physical and …

Comparative study of wearable sensors, video, and handwriting to detect Parkinson's disease

A Talitckii, E Kovalenko, A Shcherbak… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Parkinson's disease (PD) is the second most common neurodegenerative disorder that
affects the extrapyramidal motor system. The initial clinical symptoms can appear long …

Avoiding misdiagnosis of Parkinson's disease with the use of wearable sensors and artificial intelligence

A Talitckii, E Kovalenko, A Anikina… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a neurodegenerative disease associated with the
extrapyramidal motor system disorder currently being the second most common …

The performance of various machine learning methods for Parkinson's disease recognition: a systematic review

N Salari, M Kazeminia, H Sagha, A Daneshkhah… - Current …, 2023 - Springer
Parkinson's disease (PD) is a common neurodegenerative disorder that causes
degeneration of dopaminergic neurons in the Nigrostriatal pathway and the discharge of …

Deep learning framework for neurological diseases diagnosis through near-infrared eye video and time series imaging algorithms

M Hammoud, E Kovalenko, A Somov, E Bril… - Internet of Things, 2023 - Elsevier
Abstract Internet of Things (IoT) solutions have greatly evolved recently with the application
of Artificial Intelligence (AI). Indeed, AI enriches the IoT with intelligence capabilities. In …

A wearable multi-segment upper limb tremor assessment system for differential diagnosis of Parkinson's disease versus essential tremor

J Li, H Zhu, J Li, H Wang, B Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Upper limb tremor is a prominent symptom of both Parkinson's disease and essential tremor.
Its kinematic parameters overlap substantially for these two pathological conditions, thus …

Detecting the parkinson's disease through the simultaneous analysis of data from wearable sensors and video

E Kovalenko, A Shcherbak, A Somov, E Bril… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Machine Learning (ML) algorithms is an emerging tool helping automatically solve detection
and classification tasks in myriads of applications. ML is extensively used in medical …

Development of a New Wearable Device for the Characterization of Hand Tremor

B Vescio, M De Maria, M Crasà, R Nisticò, C Calomino… - Bioengineering, 2023 - mdpi.com
Rest tremor (RT) is observed in subjects with Parkinson's disease (PD) and Essential
Tremor (ET). Electromyography (EMG) studies have shown that PD subjects exhibit …