Artificial intelligence for assisting diagnostics and assessment of Parkinson's disease—A review

M Belić, V Bobić, M Badža, N Šolaja… - Clinical neurology and …, 2019 - Elsevier
Artificial intelligence, specifically machine learning, has found numerous applications in
computer-aided diagnostics, monitoring and management of neurodegenerative movement …

[HTML][HTML] Mobile phone applications in Parkinson's disease: a systematic review

M Linares-Del Rey, L Vela-Desojo… - Neurología (english …, 2019 - Elsevier
Introduction Parkinson's disease (PD) is the second most common neurodegenerative
disease. However, diagnosing, assessing, and treating these patients is a complex process …

Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique

S Saleh, B Cherradi, O El Gannour, S Hamida… - Multimedia Tools and …, 2024 - Springer
Parkinson's disease is the second most common neurological disorder that causes
significant physical disabilities, decreases the quality of life, and does not have a cure …

Machine learning and wearable sensors for automated Parkinson's disease diagnosis aid: A systematic review

L di Biase, PM Pecoraro, G Pecoraro, SA Shah… - Journal of …, 2024 - Springer
Abstract Background The diagnosis of Parkinson's disease is currently based on clinical
evaluation. Despite clinical hallmarks, unfortunately, the error rate is still significant. Low in …

Differential diagnosis of Parkinson and essential tremor with convolutional LSTM networks

AB Oktay, A Kocer - Biomedical Signal Processing and Control, 2020 - Elsevier
This study aims to present a novel method for differentiation of Parkinsonian tremor (PT) and
essential tremor (ET) using both postural and resting tremor. A convolutional long short-term …

Hand tremor detection in videos with cluttered background using neural network based approaches

X Wang, S Garg, SN Tran, Q Bai, J Alty - Health Information Science and …, 2021 - Springer
With the increasing prevalence of neurodegenerative diseases, including Parkinson's
disease, hand tremor detection has become a popular research topic because it helps with …

Apkinson: the Smartphone Application for Telemonitoring Parkinson's Patients Through speech, Gait and Hands Movement

JR Orozco-Arroyave, JC Vásquez-Correa… - Neurodegenerative …, 2020 - Taylor & Francis
Aim: This paper introduces Apkinson, a mobile application for motor evaluation and
monitoring of Parkinson's disease patients. Materials & methods: The App is based on …

Quantification of tremor using consumer product accelerometry is feasible in patients with essential tremor and Parkinson's disease: a comparative study

EMJ van Brummelen, D Ziagkos, WMI de Boon… - Journal of clinical …, 2020 - Springer
Background To quantify pharmacological effects on tremor in patients with essential tremor
(ET) or Parkinson's Disease (PD), laboratory-grade accelerometers have previously been …

Upper limb intention tremor assessment: opportunities and challenges in wearable technology

N Paredes-Acuna, D Utpadel-Fischler, K Ding… - Journal of …, 2024 - Springer
Background Tremors are involuntary rhythmic movements commonly present in neurological
diseases such as Parkinson's disease, essential tremor, and multiple sclerosis. Intention …

Deep learning for daily monitoring of Parkinson's disease outside the clinic using wearable sensors

R Atri, K Urban, B Marebwa, T Simuni, C Tanner… - Sensors, 2022 - mdpi.com
Now that wearable sensors have become more commonplace, it is possible to monitor
individual healthcare-related activity outside the clinic, unleashing potential for early …