August 3, 2022ACM Transactions on Asian and Low-Resource Language Information ProcessingOpen Access

Review of Machine and Deep Learning Techniques in Epileptic Seizure Detection using Physiological Signals and Sentiment Analysis

View Full Paper

Ask AI

Bookmark

Why the study?

Manual seizure detection is time consuming and requires expertise, creating a need for a review discussing machine and deep learning techniques for automatic seizure detection to guide future research.

Comparison

Various machine and deep learning techniques for seizure detection

Design

Review paper and implementation study

Authors

MKMohammad R. KhosraviIslamic Azad University South Tehran Branch

Discussion

Member takes

Implication

Review of ML/DL EEG seizure detection methods leaves open optimal clinical algorithms; prospective trials needed.

Structured PICO

Intervention

Machine learning and deep learning techniques (including SVM, ANN, CNN, and LSTM) using physiological signals (EEG, ECG) and sentiment analysis

Comparator

State-of-the-art methods and manual seizure detection

Outcome

Seizure detection accuracy

Machine learning and deep learning techniques, particularly LSTM networks, demonstrate high accuracy for automatic epileptic seizure detection using physiological signals.

Cite This Study

Mohammad R. Khosravi (2022) studied this question.

synapsesocial.com/papers/6a8a573bc2b067567ebd5631 https://doi.org/10.1145/3552512

View Full Paper

Ask AI

Bookmark

Review of Machine and Deep Learning Techniques in Epileptic Seizure Detection using Physiological Signals and Sentiment Analysis

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Review of Machine and Deep Learning Techniques in Epileptic Seizure Detection using Physiological Signals and Sentiment Analysis

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider