New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease

R Gupta, S Kumari, A Senapati, RK Ambasta… - Ageing research …, 2023 - Elsevier
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …

[HTML][HTML] Internet of things technologies and machine learning methods for Parkinson's disease diagnosis, monitoring and management: a systematic review

KM Giannakopoulou, I Roussaki, K Demestichas - Sensors, 2022 - mdpi.com
Parkinson's disease is a chronic neurodegenerative disease that affects a large portion of
the population, especially the elderly. It manifests with motor, cognitive and other types of …

[HTML][HTML] Beyond the clinic: the rise of wearables and smartphones in decentralising healthcare

C Wall, V Hetherington, A Godfrey - npj Digital Medicine, 2023 - nature.com
Navigating contemporary healthcare, wearable technology and smartphones are marking
the dawn of a transformative era in patient observation and personalised care. Wearables …

[HTML][HTML] The reliability and accuracy of a fall risk Assessment Procedure using Mobile Smartphone Sensors compared with a physiological Profile Assessment

JF Pedrero-Sánchez, H De-Rosario-Martínez… - Sensors, 2023 - mdpi.com
Falls in older people are a major health concern as the leading cause of disability and the
second most common cause of accidental death. We developed a rapid fall risk assessment …

Determinants of gait dystonia severity in cerebral palsy

BR Aravamuthan, TS Pearson, K Ueda… - … Medicine & Child …, 2023 - Wiley Online Library
Aim To determine the movement features governing expert assessment of gait dystonia
severity in individuals with cerebral palsy (CP). Method In this prospective cohort study …

A novel smartphone application is reliable for repeat administration and comparable to the Tekscan Strideway for spatiotemporal gait

M Kelly, P Jones, R Wuebbles, V Lugade, D Cipriani… - Measurement, 2022 - Elsevier
Smartphone applications are increasingly being used to measure gait due to their portability
and cost-effectiveness. Important reliability metrics are not available for most of these …

Smartphone touch gesture for right-handed older adults: touch performance and offset models

Y Shao, J Zhou, W Wang - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Older adults have difficulties with smartphone touch gestures, such as tapping, dragging,
zooming, and rotating. To alleviate these difficulties, this study examined error patterns in …

[HTML][HTML] Assessment tools of biopsychosocial frailty dimensions in community-dwelling older adults: a narrative review

V De Luca, GD Femminella, R Patalano… - International Journal of …, 2022 - mdpi.com
Frailty is a complex interplay between several factors, including physiological changes in
ageing, multimorbidities, malnutrition, living environment, genetics, and lifestyle. Early …

[HTML][HTML] Assisted technology in Parkinson's disease gait: what's up?

TTC Capato, J Chen, JA Miranda… - Arquivos de Neuro …, 2024 - SciELO Brasil
Background Gait disturbances are prevalent and debilitating symptoms, diminishing mobility
and quality of life for Parkinson's disease (PD) individuals. While traditional treatments offer …

[HTML][HTML] Gait pattern analysis in the home environment as a key factor for the reliable assessment of shunt responsiveness in patients with idiopathic normal pressure …

SF Dias, C Graf, E Jehli, MF Oertel, J Mahler… - Frontiers in …, 2023 - frontiersin.org
Background The identification of patients with gait disturbance associated with idiopathic
normal pressure hydrocephalus (iNPH) is challenging. This is due to the multifactorial …