This paper is in the following e-collection/theme issue:

Non-randomized Protocols and Methods (ehealth) (671) Neurology and Neurosciences (286) User-Centered Design Case Studies (712) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997)

Published on in Vol 13 (2024)

This is a member publication of University of Bristol (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60129, first published .
A Digital Intervention for Capturing the Real-Time Health Data Needed for Epilepsy Seizure Forecasting: Protocol for a Formative Co-Design and Usability Study (The ATMOSPHERE Study)

A Digital Intervention for Capturing the Real-Time Health Data Needed for Epilepsy Seizure Forecasting: Protocol for a Formative Co-Design and Usability Study (The ATMOSPHERE Study)

A Digital Intervention for Capturing the Real-Time Health Data Needed for Epilepsy Seizure Forecasting: Protocol for a Formative Co-Design and Usability Study (The ATMOSPHERE Study)

Authors of this article:

Emily E V Quilter1 Author Orcid Image ;   Samuel Downes1 Author Orcid Image ;   Mairi Therese Deighan1 Author Orcid Image ;   Liz Stuart2 Author Orcid Image ;   Rosie Charles3 Author Orcid Image ;   Phil Tittensor4 Author Orcid Image ;   Leandro Junges5 Author Orcid Image ;   Peter Kissack5, 6 Author Orcid Image ;   Yasser Qureshi5, 7 Author Orcid Image ;   Aravind Kumar Kamaraj5 Author Orcid Image ;   Amberly Brigden1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

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  2. Kaur D, Singh J, . L, Kumar Chahar N. Enhancing Public Safety Through Real-Time Video Analytics Using AI: A YOLOv8-Based Approach. SSRN Electronic Journal 2025 View