Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification

CR Pereira, DR Pereira, GH Rosa… - Artificial intelligence in …, 2018 - Elsevier
Background and objective Parkinson's disease (PD) is considered a degenerative disorder
that affects the motor system, which may cause tremors, micrography, and the freezing of …

Multiple-fine-tuned convolutional neural networks for Parkinson's disease diagnosis from offline handwriting

M Gazda, M Hireš, P Drotár - IEEE Transactions on Systems …, 2021 - ieeexplore.ieee.org
Existing decision support system frameworks for diagnosing Parkinson's disease (PD)
through handwriting, speech, or gait characteristics share very similar pipelines. Although in …

Vision-based assessment of parkinsonism and levodopa-induced dyskinesia with pose estimation

MH Li, TA Mestre, SH Fox, B Taati - Journal of neuroengineering and …, 2018 - Springer
Background Despite the effectiveness of levodopa for treatment of Parkinson's disease (PD),
prolonged usage leads to development of motor complications, most notably levodopa …

Smartphone-based remote assessment of upper extremity function for multiple sclerosis using the Draw a Shape Test

AP Creagh, C Simillion, A Scotland… - Physiological …, 2020 - iopscience.iop.org
Objective: Smartphone devices may enable out-of-clinic assessments in chronic
neurological diseases. We describe the Draw a Shape (DaS) Test, a smartphone-based and …

[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 …

Towards a comprehensive solution for a vision-based digitized neurological examination

TH Hoang, M Zehni, H Xu, G Heintz… - IEEE journal of …, 2022 - ieeexplore.ieee.org
The ability to use digitally recorded and quantified neurological exam information is
important to help healthcare systems deliver better care, in-person and via telehealth, as …

Reliability of lagged poincaré plot parameters in ultrashort heart rate variability series: Application on affective sounds

M Nardelli, A Greco, J Bolea, G Valenza… - IEEE journal of …, 2017 - ieeexplore.ieee.org
The number of studies about ultrashort cardiovascular time series is increasing because of
the demand for mobile applications in telemedicine and e-health monitoring. However, the …

Precision medicine in Parkinson's disease–exploring patient-initiated self-tracking

S Riggare, M Hägglund - Journal of Parkinson's Disease, 2018 - content.iospress.com
Background: Individually tailored healthcare, in the form of precision medicine, holds
substantial potential for the future of medicine, especially for a complex disorder like …

Quantitative assessment of parkinsonian tremor based on a linear acceleration extraction algorithm

G Cai, Z Lin, H Dai, X Xia, Y Xiong, SJ Horng… - … Signal Processing and …, 2018 - Elsevier
Tremor detection plays a crucial role in Parkinson's disease (PD) treatment and symptom
monitoring. The current gold standard for the clinical assessment of parkinsonian tremor is …

Evaluation of upper limb function with digitizing tablet-based tests: reliability and discriminative validity in healthy persons and patients with neurological disorders

W Schallert, MC Fluet, J Kesselring… - Disability and …, 2022 - Taylor & Francis
Purpose To evaluate discriminative validity, relative reliability and absolute reliability of four
tablet-based tests for the evaluation of upper limb motor function in healthy persons and …