Applications of machine learning to diagnosis and treatment of neurodegenerative diseases

MA Myszczynska, PN Ojamies, AMB Lacoste… - Nature reviews …, 2020 - nature.com
Globally, there is a huge unmet need for effective treatments for neurodegenerative
diseases. The complexity of the molecular mechanisms underlying neuronal degeneration …

[HTML][HTML] Remote assessments of hand function in neurological disorders: systematic review

A Gopal, WY Hsu, DD Allen, R Bove - JMIR rehabilitation and …, 2022 - rehab.jmir.org
Background Loss of fine motor skills is observed in many neurological diseases, and remote
monitoring assessments can aid in early diagnosis and intervention. Hand function can be …

Older age relates to worsening of fine motor skills: a population-based study of middle-aged and elderly persons

YY Hoogendam, F van der Lijn, MW Vernooij… - Frontiers in aging …, 2014 - frontiersin.org
Introduction: In a population-based study of 1,912 community-dwelling persons of 45 years
and older, we investigated the relation between age and fine motor skills using the …

A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease

D Buongiorno, I Bortone, GD Cascarano… - BMC Medical Informatics …, 2019 - Springer
Background Assessment and rating of Parkinson's Disease (PD) are commonly based on
the medical observation of several clinical manifestations, including the analysis of motor …

Tremor-related feature engineering for machine learning based Parkinson's disease diagnostics

E Valla, S Nomm, K Medijainen, P Taba… - … Signal Processing and …, 2022 - Elsevier
Growing research interest has arisen towards the possibility to automatically discriminate
between the patients with neurodegenerative disease and healthy controls based on the …

Motor signs in the prodromal phase of Parkinson's disease

W Maetzler, JM Hausdorff - Movement Disorders, 2012 - Wiley Online Library
Relatively subtle deterioration of the motor system likely occurs well before the patient meets
established motor criteria for a clinical diagnosis of Parkinson's disease; ie, the occurrence …

The relevance of the cross-wavelet transform in the analysis of human interaction–a tutorial

J Issartel, T Bardainne, P Gaillot, L Marin - Frontiers in psychology, 2015 - frontiersin.org
This article sheds light on a quantitative method allowing psychologists and behavioral
scientists to take into account the specific characteristics emerging from the interaction …

Automatic spiral analysis for objective assessment of motor symptoms in Parkinson's disease

M Memedi, A Sadikov, V Groznik, J Žabkar, M Možina… - Sensors, 2015 - mdpi.com
A challenge for the clinical management of advanced Parkinson's disease (PD) patients is
the emergence of fluctuations in motor performance, which represents a significant source of …

[HTML][HTML] A smartphone-based system to quantify dexterity in Parkinson's disease patients

S Aghanavesi, D Nyholm, M Senek, F Bergquist… - Informatics in Medicine …, 2017 - Elsevier
Objectives The aim of this paper is to investigate whether a smartphone-based system can
be used to quantify dexterity in Parkinson's disease (PD). More specifically, the aim was to …

A treatment-response index from wearable sensors for quantifying Parkinson's disease motor states

I Thomas, J Westin, M Alam, F Bergquist… - IEEE journal of …, 2017 - ieeexplore.ieee.org
The goal of this study was to develop an algorithm that automatically quantifies motor states
(off, on, dyskinesia) in Parkinson's disease (PD), based on accelerometry during a hand …