Parkinson's disease management via wearable sensors: a systematic review

H Mughal, AR Javed, M Rizwan, AS Almadhor… - IEEE …, 2022 - ieeexplore.ieee.org
Wearable technology has played an essential role in the Mobile Health (mHealth) sector for
diagnosis, treatment, and rehabilitation of numerous diseases and disorders. One such …

[HTML][HTML] Real-world accuracy of wearable activity trackers for detecting medical conditions: systematic review and meta-analysis

B Singh, S Chastin, A Miatke, R Curtis… - JMIR mHealth and …, 2024 - mhealth.jmir.org
Background: Wearable activity trackers, including fitness bands and smartwatches, offer the
potential for disease detection by monitoring physiological parameters. However, their …

Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review

H Zhao, J Cao, J Xie, WH Liao, Y Lei, H Cao… - Digital …, 2023 - journals.sagepub.com
Objective Neurodegenerative diseases affect millions of families around the world, while
various wearable sensors and corresponding data analysis can be of great support for …

An interpretable deep learning optimized wearable daily detection system for Parkinson's disease

M Chen, Z Sun, T Xin, Y Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Walking detection in the daily life of patients with Parkinson's disease (PD) is of great
significance for tracking the progress of the disease. This study aims to implement an …

[HTML][HTML] Simplification of mobility tests and data processing to increase applicability of wearable sensors as diagnostic tools for Parkinson's disease

RM Khalil, LM Shulman, AL Gruber-Baldini, S Shakya… - Sensors, 2024 - mdpi.com
Quantitative mobility analysis using wearable sensors, while promising as a diagnostic tool
for Parkinson's disease (PD), is not commonly applied in clinical settings. Major obstacles …

A review of commercial and non-commercial wearables devices for monitoring motor impairments caused by neurodegenerative diseases

G Prieto-Avalos, LN Sanchez-Morales… - Biosensors, 2022 - mdpi.com
Neurodegenerative diseases (NDDs) are among the 10 causes of death worldwide. The
effects of NDDs, including irreversible motor impairments, have an impact not only on …

[HTML][HTML] Acceptability of an in-home multimodal sensor platform for Parkinson disease: nonrandomized qualitative study

C Morgan, EL Tonkin, I Craddock… - JMIR Human …, 2022 - humanfactors.jmir.org
Background: Parkinson disease (PD) symptoms are complex, gradually progressive, and
fluctuate hour by hour. Home-based technological sensors are being investigated to …

A deep learning approach for grading of motor impairment severity in Parkinson's disease

P Prakash, R Kaur, J Levy, R Sowers… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
Objective and quantitative monitoring of movement impairments is crucial for detecting
progression in neurological conditions such as Parkinson's disease (PD). This study …

Convolutional neural network for imagine movement classification for neurorehabilitation of upper extremities using low-frequency EEG signals for spinal cord injury

MG Gualsaquí, AS Delgado, LL González… - … Conference on Smart …, 2021 - Springer
As a result of the improvement of digital signal processing techniques and pattern
recognition, it has been possible to relate brain signals with motor actions. Indeed, there are …

A single wearable sensor for gait analysis in Parkinson's disease: A preliminary study

P Pierleoni, S Raggiunto, A Belli, M Paniccia… - Applied Sciences, 2022 - mdpi.com
Movement monitoring in patients with Parkinson's disease (PD) is critical for quantifying
disease progression and assessing how a subject responds to medication administration …