Recent approaches on classification and feature extraction of EEG signal: A review
Objective: Electroencephalography (EEG) has an influential role in neuroscience and
commercial applications. Most of the tools available for EEG signal analysis use machine …
commercial applications. Most of the tools available for EEG signal analysis use machine …
Binary grey wolf optimizer with mutation and adaptive k-nearest neighbour for feature selection in Parkinson's disease diagnosis
RR Rajammal, S Mirjalili, G Ekambaram… - Knowledge-Based …, 2022 - Elsevier
Disease identification and classification relies on Feature Selection (FS) to find the relevant
features for accurate medical diagnosis. FS is an optimization problem solved with the help …
features for accurate medical diagnosis. FS is an optimization problem solved with the help …
Computer-vision based diagnosis of Parkinson's disease via gait: A survey
Parkinson's Disease (PD) being the second most hazardous neurological disorder has
developed its roots in damaging people's quality of life (QOL). The ineffectiveness of clinical …
developed its roots in damaging people's quality of life (QOL). The ineffectiveness of clinical …
Vision-based assessment of parkinsonism and levodopa-induced dyskinesia with pose estimation
Background Despite the effectiveness of levodopa for treatment of Parkinson's disease (PD),
prolonged usage leads to development of motor complications, most notably levodopa …
prolonged usage leads to development of motor complications, most notably levodopa …
A survey of nature-inspired algorithms for feature selection to identify Parkinson's disease
P Shrivastava, A Shukla, P Vepakomma… - Computer methods and …, 2017 - Elsevier
Abstract Background and Objectives Parkinson's disease is a chronic neurological disorder
that directly affects human gait. It leads to slowness of movement, causes muscle rigidity and …
that directly affects human gait. It leads to slowness of movement, causes muscle rigidity and …
A vision-based hybrid ensemble learning approach for classification of gait disorders
Computer vision-based (VB) gait analysis has become the popular platform for detecting
Knee Osteoarthritis (KOA) and Parkinson's disease (PD). The scrutinization of the literature …
Knee Osteoarthritis (KOA) and Parkinson's disease (PD). The scrutinization of the literature …
Deep learning based markerless motion tracking as a clinical tool for movement disorders: Utility, feasibility and early experience
Clinical assessments of movement disorders currently rely on the administration of rating
scales, which, while clinimetrically validated and reliable, depend on clinicians' subjective …
scales, which, while clinimetrically validated and reliable, depend on clinicians' subjective …
Parkinson's disease detection using ensemble techniques and genetic algorithm
N Fayyazifar, N Samadiani - 2017 artificial intelligence and …, 2017 - ieeexplore.ieee.org
Parkinson's disease (PD) is a neurological disorder which progress by time. People
suffering from PD experience shortage of Dopamine which is a chemical present in brain …
suffering from PD experience shortage of Dopamine which is a chemical present in brain …
[HTML][HTML] Gait disorder rehabilitation using vision and non-vision based sensors: a systematic review
Even though the amount of rehabilitation guidelines has never been greater, uncertainty
continues to arise regarding the efficiency and effectiveness of the rehabilitation of gait …
continues to arise regarding the efficiency and effectiveness of the rehabilitation of gait …
[HTML][HTML] Motion cue analysis for parkinsonian gait recognition
This paper presents a computer-vision based marker-free method for gait-impairment
detection in Patients with Parkinson's disease (PWP). The system is based upon the idea …
detection in Patients with Parkinson's disease (PWP). The system is based upon the idea …