[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] Application of deep learning models for automated identification of Parkinson's disease: A review (2011–2021)

HW Loh, W Hong, CP Ooi, S Chakraborty, PD Barua… - Sensors, 2021 - mdpi.com
Parkinson's disease (PD) is the second most common neurodegenerative disorder affecting
over 6 million people globally. Although there are symptomatic treatments that can increase …

Determination of workers' compliance to safety regulations using a spatio-temporal graph convolution network

B Lee, S Hong, H Kim - Advanced Engineering Informatics, 2023 - Elsevier
The safety of workers in construction remains a critical issue despite the automation of
several tasks with fewer workers on site. As fatal accidents of workers account for a …

[HTML][HTML] IMU-based monitoring for assistive diagnosis and management of IoHT: a review

F Bo, M Yerebakan, Y Dai, W Wang, J Li, B Hu, S Gao - Healthcare, 2022 - mdpi.com
With the rapid development of Internet of Things (IoT) technologies, traditional disease
diagnoses carried out in medical institutions can now be performed remotely at home or …

Diagnosis of parkinson's disease based on voice signals using SHAP and hard voting ensemble method

P Ghaheri, H Nasiri, A Shateri… - Computer methods in …, 2023 - Taylor & Francis
Parkinson's disease (PD) is the second most common progressive neurological condition
after Alzheimer's. The significant number of individuals afflicted with this illness makes it …

The performance of various machine learning methods for Parkinson's disease recognition: a systematic review

N Salari, M Kazeminia, H Sagha, A Daneshkhah… - Current …, 2023 - Springer
Parkinson's disease (PD) is a common neurodegenerative disorder that causes
degeneration of dopaminergic neurons in the Nigrostriatal pathway and the discharge of …

Assessing daily activity routines using an unsupervised approach in a smart home environment

B Lee, P Mohan, T Chaspari… - Journal of Computing in …, 2023 - ascelibrary.org
When the mental acuity of older adults deteriorates (eg, dementia), irregular patterns
manifest within their activities of daily living (ADL), which renders an effective opportunity for …

The phonetic footprint of parkinson's disease

P Klumpp, T Arias-Vergara, JC Vásquez-Correa… - Computer Speech & …, 2022 - Elsevier
As one of the most prevalent neurodegenerative disorders, Parkinson's disease (PD) has a
significant impact on the fine motor skills of patients. The complex interplay of different …

[HTML][HTML] Evaluating the effects of safety incentives on worker safety behavior control through image-based activity classification

B Lee, H Kim - Frontiers in Public Health, 2024 - frontiersin.org
Introduction Construction worker safety remains a major concern even as task automation
increases. Although safety incentives have been introduced to encourage safety …

Fuzzy-ViT: A Deep Neuro-Fuzzy System for Cross-Domain Transfer Learning from Large-scale General Data to Medical Image

Q Li, Y Wang, Y Zhang, Z Zuo, J Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The surge in visual general big data has notably advanced data-driven deep learning-based
computer vision technologies. Transformer-based methods shine in this era of big data …