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 …

Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms

AS Chandrabhatla, IJ Pomeraniec… - NPJ digital …, 2022 - nature.com
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …

Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques

AM Tăuţan, B Ionescu, E Santarnecchi - Artificial intelligence in medicine, 2021 - Elsevier
Neurodegenerative diseases have shown an increasing incidence in the older population in
recent years. A significant amount of research has been conducted to characterize these …

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 …

Gait and tremor investigation using machine learning techniques for the diagnosis of Parkinson disease

E Abdulhay, N Arunkumar, K Narasimhan… - Future Generation …, 2018 - Elsevier
Parkinson's disease (PD) is a chronic and progressive movement disorder affecting patients
in large numbers throughout the world. As PD progresses, the affected person is unable to …

Parkinson's disease: Cause factors, measurable indicators, and early diagnosis

S Bhat, UR Acharya, Y Hagiwara, N Dadmehr… - Computers in biology …, 2018 - Elsevier
Parkinson's disease (PD) is a neurodegenerative disease of the central nervous system
caused due to the loss of dopaminergic neurons. It is classified under movement disorder as …

Deep learning for freezing of gait detection in Parkinson's disease patients in their homes using a waist-worn inertial measurement unit

J Camps, A Sama, M Martín, D Rodriguez-Martin… - Knowledge-Based …, 2018 - Elsevier
Among Parkinson's disease (PD) motor symptoms, freezing of gait (FOG) may be the most
incapacitating. FOG episodes may result in falls and reduce patients' quality of life. Accurate …

Artificial intelligence techniques for automated diagnosis of neurological disorders

U Raghavendra, UR Acharya, H Adeli - European neurology, 2020 - karger.com
Background: Authors have been advocating the research ideology that a computer-aided
diagnosis (CAD) system trained using lots of patient data and physiological signals and …

Measuring Parkinson's disease over time: the real‐world within‐subject reliability of the MDS‐UPDRS

LJW Evers, JH Krijthe, MJ Meinders… - Movement …, 2019 - Wiley Online Library
Background An important challenge in Parkinson's disease research is how to measure
disease progression, ideally at the individual patient level. The MDS‐UPDRS, a clinical …

Body-worn sensors for remote monitoring of Parkinson's disease motor symptoms: vision, state of the art, and challenges ahead

S Del Din, C Kirk, AJ Yarnall… - Journal of …, 2021 - content.iospress.com
The increasing prevalence of neurodegenerative conditions such as Parkinson's disease
(PD) and related mobility issues places a serious burden on healthcare systems. The COVID …