Digital biomarkers in multiple sclerosis

A Dillenseger, ML Weidemann, K Trentzsch, H Inojosa… - Brain sciences, 2021 - mdpi.com
For incurable diseases, such as multiple sclerosis (MS), the prevention of progression and
the preservation of quality of life play a crucial role over the entire therapy period. In MS …

Wearable monitoring devices for biomechanical risk assessment at work: Current status and future challenges—A systematic review

A Ranavolo, F Draicchio, T Varrecchia… - International journal of …, 2018 - mdpi.com
Background: In order to reduce the risk of work-related musculoskeletal disorders (WMSDs)
several methods have been developed, accepted by the international literature and used in …

Healthcare applications of single camera markerless motion capture: a scoping review

B Scott, M Seyres, F Philp, EK Chadwick, D Blana - PeerJ, 2022 - peerj.com
Background Single camera markerless motion capture has the potential to facilitate at home
movement assessment due to the ease of setup, portability, and affordable cost of the …

Analysis of human gait using hybrid EEG-fNIRS-based BCI system: a review

H Khan, N Naseer, A Yazidi, PK Eide… - Frontiers in Human …, 2021 - frontiersin.org
Human gait is a complex activity that requires high coordination between the central nervous
system, the limb, and the musculoskeletal system. More research is needed to understand …

Gait and balance assessments using smartphone applications in Parkinson's disease: a systematic review

L Abou, J Peters, E Wong, R Akers, MS Dossou… - Journal of medical …, 2021 - Springer
Gait dysfunctions and balance impairments are key fall risk factors and associated with
reduced quality of life in individuals with Parkinson's Disease (PD). Smartphone-based …

A systematic review of wearable sensor-based technologies for fall risk assessment in older adults

M Chen, H Wang, L Yu, EHK Yeung, J Luo, KL Tsui… - Sensors, 2022 - mdpi.com
Falls have been recognized as the major cause of accidental death and injury in people
aged 65 and above. The timely prediction of fall risks can help identify older adults prone to …

Emerging portable technologies for gait analysis in neurological disorders

C Salchow-Hömmen, M Skrobot… - Frontiers in Human …, 2022 - frontiersin.org
The understanding of locomotion in neurological disorders requires technologies for
quantitative gait analysis. Numerous modalities are available today to objectively capture …

Using machine learning algorithms for identifying gait parameters suitable to evaluate subtle changes in gait in people with multiple sclerosis

K Trentzsch, P Schumann, G Śliwiński, P Bartscht… - Brain Sciences, 2021 - mdpi.com
In multiple sclerosis (MS), gait impairment is one of the most prominent symptoms. For a
sensitive assessment of pathological gait patterns, a comprehensive analysis and …

Beyond center-based testing: Understanding and improving functioning with wearable technology in MS

G Brichetto, L Pedullà, J Podda… - Multiple Sclerosis …, 2019 - journals.sagepub.com
Wearable sensors are designed to be worn on the body or embedded into portable devices
(eg smartphones and smartwatches), allowing continuous patient-based monitoring …

Outcome measures used in trials on gait rehabilitation in multiple sclerosis: a systematic literature review

L Santisteban, M Teremetz, J Irazusta, PG Lindberg… - PLoS …, 2021 - journals.plos.org
Background Multiple Sclerosis (MS) is associated with impaired gait and a growing number
of clinical trials have investigated efficacy of various interventions. Choice of outcome …