[HTML][HTML] Machine learning for the diagnosis of Parkinson's disease: a review of literature

J Mei, C Desrosiers, J Frasnelli - Frontiers in aging neuroscience, 2021 - frontiersin.org
Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …

[HTML][HTML] How wearable sensors can support Parkinson's disease diagnosis and treatment: a systematic review

E Rovini, C Maremmani, F Cavallo - Frontiers in neuroscience, 2017 - frontiersin.org
Background: Parkinson's disease (PD) is a common and disabling pathology that is
characterized by both motor and non-motor symptoms and affects millions of people …

Towards remote monitoring of Parkinson's disease tremor using wearable motion capture systems

M Delrobaei, S Memar, M Pieterman… - Journal of the …, 2018 - Elsevier
The management of movement disorders is shifting from a centralized-clinical assessment
towards remote monitoring and individualized therapy. While a variety of treatment options …

Machine learning in tremor analysis: critique and directions

A De, KP Bhatia, J Volkmann, R Peach… - Movement …, 2023 - Wiley Online Library
Tremor is the most frequent human movement disorder, and its diagnosis is based on
clinical assessment. Yet finding the accurate clinical diagnosis is not always straightforward …

Evaluation of wearable sensor devices in Parkinson's disease: A review of current status and future prospects

R Lu, Y Xu, X Li, Y Fan, W Zeng, Y Tan… - Parkinson's …, 2020 - Wiley Online Library
Parkinson's disease (PD) decreases the quality of life of the affected individuals. The
incidence of PD is expected to increase given the growing aging population. Motor …

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 …

[HTML][HTML] Bayesian optimization with support vector machine model for parkinson disease classification

AM Elshewey, MY Shams, N El-Rashidy, AM Elhady… - Sensors, 2023 - mdpi.com
Parkinson's disease (PD) has become widespread these days all over the world. PD affects
the nervous system of the human and also affects a lot of human body parts that are …

[HTML][HTML] Wearable devices for assessment of tremor

B Vescio, A Quattrone, R Nisticò, M Crasà… - Frontiers in …, 2021 - frontiersin.org
Tremor is an impairing symptom associated with several neurological diseases. Some of
such diseases are neurodegenerative, and tremor characterization may be of help in …

[HTML][HTML] Assessment of movement disorders using wearable sensors during upper limb tasks: A scoping review

I Vanmechelen, H Haberfehlner… - Frontiers in Robotics …, 2023 - frontiersin.org
Background: Studies aiming to objectively quantify movement disorders during upper limb
tasks using wearable sensors have recently increased, but there is a wide variety in …

[HTML][HTML] Wearable sensor-based gait analysis to discriminate early Parkinson's disease from essential tremor

S Lin, C Gao, H Li, P Huang, Y Ling, Z Chen, K Ren… - Journal of …, 2023 - Springer
Abstract Background Differentiating early-stage Parkinson's disease (PD) from essential
tremor (ET) is challenging since they have some overlapping clinical features. Since early …