[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 …

Smartwatch inertial sensors continuously monitor real-world motor fluctuations in Parkinson's disease

R Powers, M Etezadi-Amoli, EM Arnold… - Science translational …, 2021 - science.org
Longitudinal, remote monitoring of motor symptoms in Parkinson's disease (PD) could
enable more precise treatment decisions. We developed the Motor fluctuations Monitor for …

Toward objective monitoring of Parkinson's disease motor symptoms using a wearable device: wearability and performance evaluation of PDMonitor®

A Antonini, H Reichmann, G Gentile, M Garon… - Frontiers in …, 2023 - frontiersin.org
Parkinson's disease (PD) is characterized by a variety of motor and non-motor symptoms. As
disease progresses, fluctuations in the response to levodopa treatment may develop, along …

Assessing the usability of wearable devices to measure gait and physical activity in chronic conditions: a systematic review

A Keogh, R Argent, A Anderson, B Caulfield… - … of neuroengineering and …, 2021 - Springer
Abstract Background The World Health Organisation's global strategy for digital health
emphasises the importance of patient involvement. Understanding the usability and …

[HTML][HTML] Monitoring of gait parameters in post-stroke individuals: A feasibility study using rgb-d sensors

C Ferraris, V Cimolin, L Vismara, V Votta, G Amprimo… - Sensors, 2021 - mdpi.com
Stroke is one of the most significant causes of permanent functional impairment and severe
motor disability. Hemiplegia or hemiparesis are common consequences of the acute event …

[HTML][HTML] Computation of gait parameters in post stroke and Parkinson's disease: a comparative study using RGB-D sensors and optoelectronic systems

V Cimolin, L Vismara, C Ferraris, G Amprimo, G Pettiti… - Sensors, 2022 - mdpi.com
The accurate and reliable assessment of gait parameters is assuming an important role,
especially in the perspective of designing new therapeutic and rehabilitation strategies for …

[HTML][HTML] Human Factors, Human-Centered Design, and Usability of Sensor-Based Digital Health Technologies: Sco** Review

A Tandon, B Cobb, J Centra, E Izmailova… - Journal of medical …, 2024 - jmir.org
Background Increasing adoption of sensor-based digital health technologies (sDHTs) in
recent years has cast light on the many challenges in implementing these tools into clinical …

[HTML][HTML] Deep learning for hand tracking in Parkinson's disease video-based assessment: Current and future perspectives

G Amprimo, G Masi, G Olmo, C Ferraris - Artificial Intelligence in Medicine, 2024 - Elsevier
Abstract Background: Parkinson's Disease (PD) demands early diagnosis and frequent
assessment of symptoms. In particular, analysing hand movements is pivotal to understand …

A tree-structure-guided graph convolutional network with contrastive learning for the assessment of parkinsonian hand movements

R Guo, H Li, C Zhang, X Qian - Medical Image Analysis, 2022 - Elsevier
Bradykinesia is one of the core motor symptoms of Parkinson's disease (PD). Neurologists
typically perform face-to-face bradykinesia assessment in PD patients according to the …