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 …

Gait analysis methods: An overview of wearable and non-wearable systems, highlighting clinical applications

A Muro-De-La-Herran, B Garcia-Zapirain… - Sensors, 2014 - mdpi.com
This article presents a review of the methods used in recognition and analysis of the human
gait from three different approaches: image processing, floor sensors and sensors placed on …

Toward pervasive gait analysis with wearable sensors: A systematic review

S Chen, J Lach, B Lo, GZ Yang - IEEE journal of biomedical …, 2016 - ieeexplore.ieee.org
After decades of evolution, measuring instruments for quantitative gait analysis have
become an important clinical tool for assessing pathologies manifested by gait …

Wearable sensors objectively measure gait parameters in Parkinson's disease

JCM Schlachetzki, J Barth, F Marxreiter, J Gossler… - PloS one, 2017 - journals.plos.org
Distinct gait characteristics like short steps and shuffling gait are prototypical signs
commonly observed in Parkinson's disease. Routinely assessed by observation through …

Validity and repeatability of inertial measurement units for measuring gait parameters

EP Washabaugh, T Kalyanaraman, PG Adamczyk… - Gait & posture, 2017 - Elsevier
Inertial measurement units (IMUs) are small wearable sensors that have tremendous
potential to be applied to clinical gait analysis. They allow objective evaluation of gait and …

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 …

A comprehensive survey on gait analysis: History, parameters, approaches, pose estimation, and future work

D Sethi, S Bharti, C Prakash - Artificial Intelligence in Medicine, 2022 - Elsevier
Human gait is a periodic motion of body segments—the analysis of motion and related
studies is termed gait analysis. Gait Analysis has gained much popularity because of its …

Gait analysis using wearable sensors

W Tao, T Liu, R Zheng, H Feng - Sensors, 2012 - mdpi.com
Gait analysis using wearable sensors is an inexpensive, convenient, and efficient manner of
providing useful information for multiple health-related applications. As a clinical tool applied …

A review of wearable sensors and systems with application in rehabilitation

S Patel, H Park, P Bonato, L Chan… - … of neuroengineering and …, 2012 - Springer
The aim of this review paper is to summarize recent developments in the field of wearable
sensors and systems that are relevant to the field of rehabilitation. The growing body of work …

Free‐living monitoring of Parkinson's disease: Lessons from the field

S Del Din, A Godfrey, C Mazzà, S Lord… - Movement …, 2016 - Wiley Online Library
Wearable technology comprises miniaturized sensors (eg, accelerometers) worn on the
body and/or paired with mobile devices (eg, smart phones) allowing continuous patient …