USP Electronic Research Repository

Spirometer and sEMG respiratory patterns for clinical decision support system

Kumar, Amit K. and Assaf, Mansour and Groza, Voicu Z. and Petriu, Emil M. (2023) Spirometer and sEMG respiratory patterns for clinical decision support system. [Conference Proceedings]

Full text not available from this repository.

Abstract

To improve support system for subjects with respiratory ailments, this work analyses the respiratory patterns from spirometer and surface electromyography (sEMG). The patterns are integrated with risk and biochemical systems model to optimise the clinical decision support system (CDSS). The work considers terminal events for the spirometer and sEMG. The events and their associated patterns are correlated and projected on a hyperspace prior implementing it in decision support system. The proposed method shows that the different characteristics of breathing indicate some essential hidden information which when used as 4D scattered projection, optimises the decision making in CDSS. The analysis shows the effectiveness of bimodal respiratory patterns for different breathing capacities, which is promising for the modelled conditions.

Item Type: Conference Proceedings
Subjects: T Technology > T Technology (General)
Divisions: School of Information Technology, Engineering, Mathematics and Physics (STEMP)
Depositing User: Mansour Assaf
Date Deposited: 15 Aug 2023 00:18
Last Modified: 15 Aug 2023 00:18
URI: http://repository.usp.ac.fj/id/eprint/14120
UNSPECIFIED

Actions (login required)

View Item View Item