Browsing NTNU Open by Author "Nesaragi, Naimahmed"

Now showing items 1-3 of 3

Exploring possibilities on predicting subjective evaluation of athlete's feelings after workout sessions using deep learning.

Olsen, Stine (Master thesis, 2024)

Wearables, som treningsklokker, har blitt stadig mer populært de siste årene. Disse enhetene kan gi verdifull informasjon om vår helse og treningsvaner ved å måle parametere som hjertefrekvensvariabilitet (HRV). Målet med ...
A Multi-channel EEG Data Analysis for Poor Neuro-prognostication in Comatose Patients with Self and Cross-channel Attention Mechanism

Qadir, Hemin Ali; Nesaragi, Naimahmed; Halvorsen, Per Steinar; Balasingham, Ilangko (Chapter, 2023)
Non-invasive waveform analysis for emergency triage via simulated hemorrhage: An experimental study using novel dynamic lower body negative pressure model

Nesaragi, Naimahmed; Høiseth, Lars Øivind; Qadir, Hemin Ali; Rosseland, Leiv Arne; Halvorsen, Per Steinar; Balasingham, Ilangko (Peer reviewed; Journal article, 2023)

The extent to which advanced waveform analysis of non-invasive physiological signals can diagnose levels of hypovolemia remains insufficiently explored. The present study explores the discriminative ability of a deep ...