[HTML][HTML] Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson's disease: a systematic review

L Sigcha, L Borzì, F Amato, I Rechichi… - Expert Systems with …, 2023 - Elsevier
Parkinson's disease (PD) is a neurodegenerative disorder that produces both motor and non-
motor complications, degrading the quality of life of PD patients. Over the past two decades …

Old problems, new solutions: harnessing technology and innovation in Parkinson's disease—evidence and experiences from Thailand

R Bhidayasiri - Journal of Neural Transmission, 2024 - Springer
The prevalence of Parkinson's disease (PD) is increasing rapidly worldwide, but there are
notable inequalities in its distribution and in the availability of healthcare resources across …

Clinical evaluation in Parkinson's disease: is the golden standard shiny enough?

FS Kanellos, KI Tsamis, G Rigas, YV Simos… - Sensors, 2023 - mdpi.com
Parkinson's disease (PD) has become the second most common neurodegenerative
condition following Alzheimer's disease (AD), exhibiting high prevalence and incident rates …

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

M Chen, Z Sun, T **n, 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 …

A multidimensional gender analysis of health technology self-efficacy among people with Parkinson's disease

I Göttgens, SKL Darweesh, BR Bloem… - Journal of …, 2024 - Springer
Background Digital health technologies (DHT) enable self-tracking of bio-behavioral states
and pharmacotherapy outcomes in various diseases. However, the role of gender …

Exploring ai music generation: A review of deep learning algorithms and datasets for undergraduate researchers

I Yunoki, G Berreby, N D'Andrea, Y Lu, X Qu - International Conference on …, 2023 - Springer
This review paper presents an exploration of the deep learning-based music generation
literature, designed to offer undergraduate researchers an initiation into the field. This study …

Investigation of phase shifts using AUC diagrams: application to differential diagnosis of Parkinson's disease and essential tremor

OS Sushkova, AA Morozov, IA Kershner… - Sensors, 2023 - mdpi.com
This study was motivated by the well-known problem of the differential diagnosis of
Parkinson's disease and essential tremor using the phase shift between the tremor signals …

Combining features on vertical ground reaction force signal analysis for multiclass diagnosing neurodegenerative diseases

IG Ozeloglu, EA Aydin - International Journal of Medical Informatics, 2024 - Elsevier
Neurodegenerative diseases (NDDs), which are caused by the degeneration of neurons
and their functions, affect a significant part of the world's population. Although gait disorders …

The Parkinson's disease waiting room of the future: measurements, not magazines

JL Alberts, U Shuaib, H Fernandez, BL Walter… - Frontiers in …, 2023 - frontiersin.org
Utilizing technology to precisely quantify Parkinson's disease motor symptoms has evolved
over the past 50 years from single point in time assessments using traditional biomechanical …

Trends in machine learning and electroencephalogram (EEG): a review for undergraduate researchers

NK Murungi, MV Pham, X Dai, X Qu - International Conference on Human …, 2023 - Springer
This paper presents a systematic literature review on Brain-Computer Interfaces (BCIs) in
the context of Machine Learning. Our focus is on Electroencephalography (EEG) research …