Stroke Monitoring using Smartphone Sensors and Artificial Neural Network Soft Sensors

Mirtskhulava, Lela, Al-Majeed, Salah ORCID: 0000-0002-5932-9658, Pearce, Gillian, Gogoladze, Tamar and Javakhishvili, Ivane (2015) Stroke Monitoring using Smartphone Sensors and Artificial Neural Network Soft Sensors. International Journal of Simulation Systems, Science and Technology.

Full text not available from this repository.
Item Type: Article
Article Type: Article
Uncontrolled Keywords: Smartphone sensors; Stroke monitoring; Artificial neural network soft sensors
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Schools and Research Institutes > School of Business and Technology > Technical & Applied Computing
Research Priority Areas: Applied Business & Technology
Depositing User: Susan Turner
Date Deposited: 11 Oct 2018 10:46
Last Modified: 11 Oct 2018 10:46
URI: http://eprints.glos.ac.uk/id/eprint/6075

University Staff: Request a correction | Repository Editors: Update this record

University Of Gloucestershire

Bookmark and Share

Find Us On Social Media:

Social Media Icons Facebook Twitter Google+ YouTube Pinterest Linkedin

Other University Web Sites

University of Gloucestershire, The Park, Cheltenham, Gloucestershire, GL50 2RH. Telephone +44 (0)844 8010001.