New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease

R Gupta, S Kumari, A Senapati, RK Ambasta… - Ageing research …, 2023 - Elsevier
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 …

Imperative role of machine learning algorithm for detection of Parkinson's disease: review, challenges and recommendations

A Rana, A Dumka, R Singh, MK Panda, N Priyadarshi… - Diagnostics, 2022 - mdpi.com
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 …

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 …

Bias investigation in artificial intelligence systems for early detection of Parkinson's disease: a narrative review

S Paul, M Maindarkar, S Saxena, L Saba, M Turk… - Diagnostics, 2022 - mdpi.com
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 …

A convolutional-recurrent neural network approach to resting-state EEG classification in Parkinson's disease

S Lee, R Hussein, R Ward, ZJ Wang… - Journal of neuroscience …, 2021 - Elsevier
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 …

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 …

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 …

Local pattern transformation based feature extraction for recognition of Parkinson's disease based on gait signals

SJ Priya, AJ Rani, MSP Subathra, MA Mohammed… - Diagnostics, 2021 - mdpi.com
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 …

A decision support system for automated diagnosis of Parkinson's disease from EEG using FAWT and entropy features

P Chawla, SB Rana, H Kaur, K Singh, R Yuvaraj… - … Signal Processing and …, 2023 - Elsevier
Abstract Parkinson's disease (PD), a neurodegenerative disorder characterized by rest
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 …