Demonstration: Online Detection of Abnormalities in Blood Pressure Waveform: Bisfiriens and Alternans Pulse

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

Daniel Nogueira (Author) Other; Rafael Tavares (Author) Other; Paulo Abreu (Author) FEUP; Maria Teresa Restivo (Author) FEUP

Conference proceedings International

Title: SMART INDUSTRY & SMART EDUCATION

Pages: 536-545

15th International Conference on Remote Engineering and Virtual Instrumentation (REV)

Univ Appl Sci Duesseldorf, Duesseldorf, GERMANY, MAR 21-23, 2018

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Other information

Authenticus ID: P-00Q-3T0

DOI: 10.1007/978-3-319-95678-7_60

Abstract (EN): Some cardiovascular diseases (CVD) can be characterized by abnormalities in the blood pressure (BP) waveform. This work explores the use of ML techniques in a screening system currently under development for detection of BP waveform abnormalities - Bisferiens and Alternans pulses. The system uses a tonometric probe for signal acquisition, signal processing involving period segmentation and image processing, and classification. The classification method used was the support vector machine (SVM) and it achieved an accuracy of 99.84%. Signal acquisition is done locally and sent to a remote server where the signal and image processing and classification is performed and the result prediction is sent back to the user.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10