most citedDetecting Post-Stroke Aphasia Via Brain Responses to Speech in a Deep Learning Framework

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing eess.SPShow all

2 papers · 1 filter

eess.SP2024★ 2 cited

Detecting Post-Stroke Aphasia Via Brain Responses to Speech in a Deep Learning Framework

Pieter De Clercq, Corentin Puffay, Jill Kries +4

Aphasia, a language disorder primarily caused by a stroke, is traditionally diagnosed using behavioral language tests. However, these tests are time-consuming, require manual inter…

eess.SP2023

Detecting post-stroke aphasia using EEG-based neural envelope tracking of natural speech

Pieter De Clercq, Jill Kries, Ramtin Mehraram +3

[Objective]. After a stroke, one-third of patients suffer from aphasia, a language disorder that impairs communication ability. The standard behavioral tests used to diagnose aphas…