Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities

E Halilaj, A Rajagopal, M Fiterau, JL Hicks… - Journal of …, 2018 - Elsevier
Traditional laboratory experiments, rehabilitation clinics, and wearable sensors offer
biomechanists a wealth of data on healthy and pathological movement. To harness the …

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 …

Gait analysis in Parkinson's disease: An overview of the most accurate markers for diagnosis and symptoms monitoring

L Di Biase, A Di Santo, ML Caminiti, A De Liso… - Sensors, 2020 - mdpi.com
The aim of this review is to summarize that most relevant technologies used to evaluate gait
features and the associated algorithms that have shown promise to aid diagnosis and …

Teleneurology and mobile technologies: the future of neurological care

ER Dorsey, AM Glidden, MR Holloway… - Nature Reviews …, 2018 - nature.com
Neurological disorders are the leading cause of global disability. However, for most people
around the world, current neurological care is poor. In low-income countries, most …

Home detection of freezing of gait using support vector machines through a single waist-worn triaxial accelerometer

D Rodríguez-Martín, A Samà, C Pérez-López, A Català… - PloS one, 2017 - journals.plos.org
Among Parkinson's disease (PD) symptoms, freezing of gait (FoG) is one of the most
debilitating. To assess FoG, current clinical practice mostly employs repeated evaluations …

Wearables in the home-based assessment of abnormal movements in Parkinson's disease: a systematic review of the literature

S Ancona, FD Faraci, E Khatab, L Fiorillo, O Gnarra… - Journal of …, 2022 - Springer
At present, the standard practices for home-based assessments of abnormal movements in
Parkinson's disease (PD) are based either on subjective tools or on objective measures that …

A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ONTM

D Rodríguez-Martín, J Cabestany… - Frontiers in …, 2022 - frontiersin.org
In the past decade, the use of wearable medical devices has been a great breakthrough in
clinical practice, trials, and research. In the Parkinson's disease field, clinical evaluation is …

Objective measurement versus clinician-based assessment for Parkinson's disease

A Guerra, V D'Onofrio, F Ferreri… - Expert Review of …, 2023 - Taylor & Francis
Introduction Although clinician-based assessment through standardized clinical rating
scales is currently the gold standard for quantifying motor impairment in Parkinson's disease …

Overview on wearable sensors for the management of Parkinson's disease

C Moreau, T Rouaud, D Grabli, I Benatru… - npj Parkinson's …, 2023 - nature.com
Parkinson's disease (PD) is affecting about 1.2 million patients in Europe with a prevalence
that is expected to have an exponential increment, in the next decades. This epidemiological …

Online human activity recognition using low-power wearable devices

G Bhat, R Deb, VV Chaurasia, H Shill… - 2018 IEEE/ACM …, 2018 - ieeexplore.ieee.org
Human activity recognition (HAR) has attracted significant research interest due to its
applications in health monitoring and patient rehabilitation. Recent research on HAR …