[go: up one dir, main page]
loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Doaa Alamoudi 1 ; Ian Nabney 2 and Esther Crawley 3

Affiliations: 1 School of Computer Science, University of Bristol, Bristol, U.K. ; 2 School of Computer Science, Electrical and Electronic Engineering, and Engineering Mathematics, University of Bristol, Bristol, U.K. ; 3 Child Health, Bristol Medical School, University of Bristol, Bristol, U.K.

Keyword(s): Mobile Phone, Mobile Applications, Health Apps, Insomnia, Mental Health, Sleep Monitoring, Depression, Anxiety, Sleep Disorder, Lack of Sleep, Digital Phenotyping, Mobile Sensing, Smartphone Sensors, Sleep Detector, Digital Health.

Abstract: The wide spread of using smartphone sensors to measure several health parameters such as collecting and tracking individual activities, sleeping patterns and data, enables doctors to provide personalised treatment. This paper discussed the use of smartphone sensors to track insomnia. The SleepTracker app was developed to test the ability to track an individual’s day to day sleeping pattern based on screen on/off events, its accuracy evaluated and further improved on.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 142.171.178.55

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Alamoudi, D., Nabney, I. and Crawley, E. (2023). Smartphone Sensors to Measure Individual Sleeping Pattern: Experimental Study. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - BIODEVICES; ISBN 978-989-758-631-6; ISSN 2184-4305, SciTePress, pages 206-210. DOI: 10.5220/0011895100003414

@conference{biodevices23,
author={Doaa Alamoudi and Ian Nabney and Esther Crawley},
title={Smartphone Sensors to Measure Individual Sleeping Pattern: Experimental Study},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - BIODEVICES},
year={2023},
pages={206-210},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011895100003414},
isbn={978-989-758-631-6},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - BIODEVICES
TI - Smartphone Sensors to Measure Individual Sleeping Pattern: Experimental Study
SN - 978-989-758-631-6
IS - 2184-4305
AU - Alamoudi, D.
AU - Nabney, I.
AU - Crawley, E.
PY - 2023
SP - 206
EP - 210
DO - 10.5220/0011895100003414
PB - SciTePress