AI Medical Compendium Journal:
Biomedical signal processing and control

Showing 1 to 2 of 2 articles

A physiological signal compression approach using optimized Spindle Convolutional Auto-encoder in mHealth applications.

Biomedical signal processing and control
BACKGROUND AND OBJECTIVES: The COVID-19 pandemic manifested the need of developing robust digital platforms for facilitating healthcare services such as consultancy, clinical therapies, real time remote monitoring, early diagnosis and future predicti...

Semi-supervised Training Data Selection Improves Seizure Forecasting in Canines with Epilepsy.

Biomedical signal processing and control
OBJECTIVE: Conventional selection of pre-ictal EEG epochs for seizure prediction algorithm training data typically assumes a continuous pre-ictal brain state preceding a seizure. This is carried out by defining a fixed duration, pre-ictal time period...