AIMC Topic: Parkinson Disease

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Development and validation of a machine learning-based diagnostic model for Parkinson's disease in community-dwelling populations: Evidence from the China health and retirement longitudinal study (CHARLS).

Parkinsonism & related disorders Oct 30, 2024
BACKGROUND: Parkinson's disease (PD) is a major neurodegenerative disorder in Middle-aged and elderly people.There is a pressing need for effective predictive models, particularly in chinese population.
Humans Machine Learning Female Aged China Aged, 80 and over Longitudinal Studies Male Parkinson Disease Middle Aged Independent Living
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Wearable-Enabled Algorithms for the Estimation of Parkinson's Symptoms Evaluated in a Continuous Home Monitoring Setting Using Inertial Sensors.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 29, 2024
Motor symptoms such as tremor and bradykinesia can develop concurrently in Parkinson's disease; thus, the ideal home monitoring system should be capable of tracking symptoms continuously despite background noise from daily activities. The goal of thi...
Accelerometry Activities of Daily Living Female Hypokinesia Tremor Sensitivity and Specificity Humans Reproducibility of Results Equipment Design Video Recording Dyskinesias Male Machine Learning Feasibility Studies Aged Monitoring, Ambulatory Middle Aged Wearable Electronic Devices Algorithms Parkinson Disease
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Convolutional neural network based detection of early stage Parkinson's disease using the six minute walk test.

Scientific reports Sep 30, 2024
The heterogeneity of Parkinson's disease (PD) presents considerable challenges for accurate diagnosis, particularly during early-stage disease, when the symptoms may be extremely subtle. This study aimed to assess the accuracy of a convolutional neur...
Humans Neural Networks, Computer Female Middle Aged Case-Control Studies Aged Male Wearable Electronic Devices Parkinson Disease Walking Gait Walk Test
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Late feature fusion using neural network with voting classifier for Parkinson's disease detection.

BMC medical informatics and decision making Sep 27, 2024
Parkinson's disease (PD) is classified as a neurological, progressive illness brought on by cell death in the posterior midbrain. Early PD detection will assist doctors in reducing the disease's consequences. A collection of skilled models that may b...
Handwriting Voting Machine Learning Parkinson Disease Early Diagnosis Humans Neural Networks, Computer
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Early Detection of Parkinson's Disease Using Deep NeuroEnhanceNet With Smartphone Walking Recordings.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 27, 2024
With the development of digital medical technology, ubiquitous smartphones are emerging as valuable tools for the detection of complex and elusive diseases. This paper exploits smartphone walking recording for early detection of Parkinson's disease (...
Parkinson Disease Walking Early Diagnosis False Negative Reactions Middle Aged Humans Biomarkers Aged Deep Learning Neural Networks, Computer Female Male Smartphone Algorithms
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Instrumented timed up and go test and machine learning-based levodopa response evaluation: a pilot study.

Journal of neuroengineering and rehabilitation Sep 18, 2024
BACKGROUND: The acute levodopa challenge test (ALCT) is a universal method for evaluating levodopa response (LR). Assessment of Movement Disorder Society's Unified Parkinson's Disease Rating Scale part III (MDS-UPDRS III) is a key step in ALCT, which...
Levodopa Female Aged Male Parkinson Disease Antiparkinson Agents Middle Aged Pilot Projects Humans Machine Learning
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PD-ARnet: a deep learning approach for Parkinson's disease diagnosis from resting-state fMRI.

Journal of neural engineering Sep 18, 2024
. The clinical diagnosis of Parkinson's disease (PD) relying on medical history, clinical symptoms, and signs is subjective and lacks sensitivity. Resting-state fMRI (rs-fMRI) has been demonstrated to be an effective biomarker for diagnosing PD.This ...
Magnetic Resonance Imaging Parkinson Disease Rest Humans Brain Female Aged Middle Aged Male Deep Learning
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The Role of Deep Learning and Gait Analysis in Parkinson's Disease: A Systematic Review.

Sensors (Basel, Switzerland) Sep 13, 2024
Parkinson's disease (PD) is the second most common movement disorder in the world. It is characterized by motor and non-motor symptoms that have a profound impact on the independence and quality of life of people affected by the disease, which increa...
Deep Learning Wearable Electronic Devices Parkinson Disease Gait Gait Analysis Humans Quality of Life
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Cognitive activity analysis of Parkinson's patients using artificial intelligence techniques.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Sep 11, 2024
PURPOSE: The development of modern Artificial Intelligence (AI) based models for the early diagnosis of Parkinson's disease (PD) has been gaining deep attention by researchers recently. In particular, the use of different types of datasets (voice, ha...
Humans Artificial Intelligence Female Cognition Aged Support Vector Machine Parkinson Disease Male Bayes Theorem Middle Aged
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Machine learning-based classification of Parkinson's disease using acoustic features: Insights from multilingual speech tasks.

Computers in biology and medicine Sep 11, 2024
This study advances the automation of Parkinson's disease (PD) diagnosis by analyzing speech characteristics, leveraging a comprehensive approach that integrates a voting-based machine learning model. Given the growing prevalence of PD, especially am...
Republic of Korea Female Aged Male Humans Machine Learning Multilingualism Middle Aged Speech Parkinson Disease
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