New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
Imperative role of machine learning algorithm for detection of Parkinson's disease: review, challenges and recommendations
Parkinson's disease (PD) is a neurodegenerative disease that affects the neural, behavioral,
and physiological systems of the brain. This disease is also known as tremor. The common …
and physiological systems of the brain. This disease is also known as tremor. The common …
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 …
the population, especially the elderly. It manifests with motor, cognitive and other types of …
Bias investigation in artificial intelligence systems for early detection of Parkinson's disease: a narrative review
Background and Motivation: Diagnosis of Parkinson's disease (PD) is often based on
medical attention and clinical signs. It is subjective and does not have a good prognosis …
medical attention and clinical signs. It is subjective and does not have a good prognosis …
A convolutional-recurrent neural network approach to resting-state EEG classification in Parkinson's disease
Background Parkinson's disease (PD) is expected to become more common, particularly
with an aging population. Diagnosis and monitoring of the disease typically rely on the …
with an aging population. Diagnosis and monitoring of the disease typically rely on the …
Survey of machine learning techniques in the analysis of EEG signals for Parkinson's disease: A systematic review
AM Maitin, JP Romero Muñoz, ÁJ García-Tejedor - Applied Sciences, 2022 - mdpi.com
Background: Parkinson's disease (PD) affects 7–10 million people worldwide. Its diagnosis
is clinical and can be supported by image-based tests, which are expensive and not always …
is clinical and can be supported by image-based tests, which are expensive and not always …
Deep learning for Parkinson's disease diagnosis: a short survey
M Shaban - Computers, 2023 - mdpi.com
Parkinson's disease (PD) is a serious movement disorder that may eventually progress to
mild cognitive dysfunction (MCI) and dementia. According to the Parkinson's foundation, one …
mild cognitive dysfunction (MCI) and dementia. According to the Parkinson's foundation, one …
Local pattern transformation based feature extraction for recognition of Parkinson's disease based on gait signals
Parkinson's disease (PD) is a neuro-degenerative disorder primarily triggered due to the
deterioration of dopamine-producing neurons in the substantia nigra of the human brain …
deterioration of dopamine-producing neurons in the substantia nigra of the human brain …
A decision support system for automated diagnosis of Parkinson's disease from EEG using FAWT and entropy features
Abstract Parkinson's disease (PD), a neurodegenerative disorder characterized by rest
tremors, muscular rigidity, and bradykinesia, has become a global health concern. Currently …
tremors, muscular rigidity, and bradykinesia, has become a global health concern. Currently …
Wearable technology to detect motor fluctuations in Parkinson's disease patients: current state and challenges
M Barrachina-Fernández, AM Maitín, C Sánchez-Ávila… - Sensors, 2021 - mdpi.com
Monitoring of motor symptom fluctuations in Parkinson's disease (PD) patients is currently
performed through the subjective self-assessment of patients. Clinicians require reliable …
performed through the subjective self-assessment of patients. Clinicians require reliable …