Selection of Appropriate Statistical Features of EEG Signals for Detection of Parkinson’s Disease

Haloi, Rupjyoti; Hazarika, Jupitara; Chanda, D.

doi:10.1109/compe49325.2020.9200194

Cited by 10 publications

(4 citation statements)

References 15 publications

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“…Kurtosis is a measure of the number of outliers in a probability distribution. Skewness is a measure of the amount of asymmetry in a probability distribution [36].…”

Section: B Feature Extractionmentioning

confidence: 99%

AI-Based Epileptic Seizure Detection and Prediction in Internet of Healthcare Things: A Systematic Review

et al. 2023

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Epilepsy is a neurological condition affecting around 50 million individuals worldwide, reported by the World Health Organization. This is identified as a hypersensitive disease by clinical associations. The unique characteristics of Electroencephalography have proven to be stable and universal; therefore, researchers have a lot of credibilities. So, it is the most used test for Epileptic Seizure detection and prediction. This study examines the contributions that have so far been made utilizing Electroencephalography technology to detect, predict, and monitor Epileptic Seizures. We have reviewed around 56 research articles, and those papers are selected from different academic databases. The studies explored various approaches, including Machine Learning, Deep Learning, and the Internet of Things framework. A comprehensive discussion of different classification algorithms is analyzed, and their performances are explored. Furthermore, various open issues of the stated approach are discussed, and potential future works are addressed.

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“…Kurtosis is a measure of the number of outliers in a probability distribution. Skewness is a measure of the amount of asymmetry in a probability distribution [36].…”

Section: B Feature Extractionmentioning

confidence: 99%

AI-Based Epileptic Seizure Detection and Prediction in Internet of Healthcare Things: A Systematic Review

et al. 2023

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“…Nowadays, medical imaging plays a vital role in diagnosing critical diseases and abnormalities in human bodies (Gautam et al, 2020;Haloi et al, 2023;Jain et al, 2023;Bisgin et al, 2023). Generally, it is performed manually by medical experts, which may cause significantly fewer mistakes and carelessness and may initiate severe diseases.…”

Section: Motivationmentioning

confidence: 99%

Systematic Exploration Using Intelligent Computing Techniques for Clinical Diagnosis of Gastrointestinal Disorder: A Review

Srivastava,

Tripathi

2023

IJERR

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In today's era, the growing ratio of Gastrointestinal (GI) diseases in human beings has become a crucial point of notice and must be diagnosed as early as possible. There are various methods to diagnose abdomen-related problems using medical imaging techniques like ultrasound, endoscopy, Colonoscopy, abdominal CT scan and digital X-ray, etc. Endoscopy is one of the most efficient medical imaging techniques for diagnosing gastrointestinal (GI) diseases. Manual diagnosis of endoscopic images may have a possibility of committing mistakes in properly detecting gastrointestinal disorders because tiny particles are involved in endoscopic images and may be responsible for critical disorders. However, manual diagnosis may ignore such information because of less efficiency of vision and observation. To avoid such problems, various models based on soft computing and neuro-fuzzy techniques have been proposed to detect and classify various gastrointestinal disorders. In this article, the authors propose a systematic review of previous research that has been carried out using intelligent computing methods. Here, various conventional approaches are discussed and compared. This review research shows performance limitations due to complex data models, heterogeneous datasets and the absence of intelligent feature selection methods in diagnosing gastrointestinal disorders.

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“…To minimize the adverse effects of invasive techniques, non-invasive devices that aim to reduce the symptoms of PD, especially FoG, have been developed. Different methodologies have been used for the construction of devices, such as those focused on acquiring EEG signals [ 24 , 68 , 69 , 70 ]. Moreover, using accelerometers located at different parts of the lower extremities, including the calf, hip, legs, and ankle [ 68 , 71 , 72 , 73 , 74 , 75 ], these devices can stimulate the muscle or nerve externally and help patients out of the episode of freezing.…”

Section: Devices Developed For Detection and Stimulation Of Fog Episodesmentioning

confidence: 99%

Review of Active Extracorporeal Medical Devices to Counteract Freezing of Gait in Patients with Parkinson Disease

et al. 2022

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Parkinson Disease (PD) primarily affects older adults. It is the second-most common neurodegenerative disease after Alzheimer’s disease. Currently, more than 10 million people suffer from PD, and this number is expected to grow, considering the increasing global longevity. Freezing of Gait (FoG) is a symptom present in approximately 80% of advanced-stage PD’s patients. FoG episodes alter the continuity of gait, and may be the cause of falls that can lead to injuries and even death. The recent advances in the development of hardware and software systems for the monitoring, stimulus, or rehabilitation of patients with FoG has been of great interest to researchers because detection and minimization of the duration of FoG events is an important factor in improving the quality of life. This article presents a review of the research on non-invasive medical devices for FoG, focusing on the acquisition, processing, and stimulation approaches used.

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Selection of Appropriate Statistical Features of EEG Signals for Detection of Parkinson’s Disease

Cited by 10 publications

References 15 publications

AI-Based Epileptic Seizure Detection and Prediction in Internet of Healthcare Things: A Systematic Review

AI-Based Epileptic Seizure Detection and Prediction in Internet of Healthcare Things: A Systematic Review

Systematic Exploration Using Intelligent Computing Techniques for Clinical Diagnosis of Gastrointestinal Disorder: A Review

Review of Active Extracorporeal Medical Devices to Counteract Freezing of Gait in Patients with Parkinson Disease

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