Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Machine Learning‐Based Depression Recognition With Preserved Efficacy From Compressed EEG Signals Using Wavelet Transform and Adaptive Filtering

Saved in:
Bibliographic Details
Published in:Healthcare Technology Letters
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867301677411860480
collection WordPress RSS
FRELIP Feed Integration
container_title Healthcare Technology Letters
description
discipline_display Health and Safety
discipline_facet Health and Safety
format Online Article
RSS Article
genre Journal Article
id rss_article:69469
institution FRELIP
journal_source_facet Healthcare Technology Letters
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Machine Learning‐Based Depression Recognition With Preserved Efficacy From Compressed EEG Signals Using Wavelet Transform and Adaptive Filtering
Health and Safety
General
Health and Safety
sub_discipline_display General
sub_discipline_facet General
subject_display Health and Safety
General
Health and Safety
Health and Safety
General
Health and Safety
subject_facet Health and Safety
General
Health and Safety
title Machine Learning‐Based Depression Recognition With Preserved Efficacy From Compressed EEG Signals Using Wavelet Transform and Adaptive Filtering
title_auth Machine Learning‐Based Depression Recognition With Preserved Efficacy From Compressed EEG Signals Using Wavelet Transform and Adaptive Filtering
title_full Machine Learning‐Based Depression Recognition With Preserved Efficacy From Compressed EEG Signals Using Wavelet Transform and Adaptive Filtering
title_fullStr Machine Learning‐Based Depression Recognition With Preserved Efficacy From Compressed EEG Signals Using Wavelet Transform and Adaptive Filtering
title_full_unstemmed Machine Learning‐Based Depression Recognition With Preserved Efficacy From Compressed EEG Signals Using Wavelet Transform and Adaptive Filtering
title_short Machine Learning‐Based Depression Recognition With Preserved Efficacy From Compressed EEG Signals Using Wavelet Transform and Adaptive Filtering
title_sort machine learning‐based depression recognition with preserved efficacy from compressed eeg signals using wavelet transform and adaptive filtering
topic Health and Safety
General
Health and Safety
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/htl2.70084?af=R