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[HTML][HTML] Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson's disease: a systematic review
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 …
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 …
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?
Parkinson's disease (PD) has become the second most common neurodegenerative
condition following Alzheimer's disease (AD), exhibiting high prevalence and incident rates …
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 …
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
Background Digital health technologies (DHT) enable self-tracking of bio-behavioral states
and pharmacotherapy outcomes in various diseases. However, the role of gender …
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 …
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 …
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 …
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
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 …
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
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 …
the context of Machine Learning. Our focus is on Electroencephalography (EEG) research …