Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/58266

TitleHigh-resolution seismocardiogram acquisition and analysis system
Author(s)Leitão, Fábio André Costa
Moreira, Eurico Esteves
Alves, Filipe
Lourenço, Mário
Azevedo, Olga
Gaspar, João
Rocha, Luis A.
KeywordsAccelerometry
Adult
Aged
Ballistocardiography
Cardiovascular Diseases
Diagnostic Techniques, Cardiovascular
Electrocardiography
Equipment Design
Female
Heart Rate
Humans
Male
Micro-Electrical-Mechanical Systems
Middle Aged
Signal-To-Noise Ratio
Vibration
Wireless Technology
Signal Processing, Computer-Assisted
accelerometer
ballistocardiogram
MEMS
pull-in time
seismocardiogram
Issue date13-Oct-2018
PublisherMDPI
JournalSensors
Abstract(s)Several devices and measurement approaches have recently been developed to perform ballistocardiogram (BCG) and seismocardiogram (SCG) measurements. The development of a wireless acquisition system (hardware and software), incorporating a novel high-resolution micro-electro-mechanical system (MEMS) accelerometer for SCG and BCG signals acquisition and data treatment is presented in this paper. A small accelerometer, with a sensitivity of up to 0.164 µs/µg and a noise density below 6.5 µg/ Hz is presented and used in a wireless acquisition system for BCG and SCG measurement applications. The wireless acquisition system also incorporates electrocardiogram (ECG) signals acquisition, and the developed software enables the real-time acquisition and visualization of SCG and ECG signals (sensor positioned on chest). It then calculates metrics related to cardiac performance as well as the correlation of data from previously performed sessions with echocardiogram (ECHO) parameters. A preliminarily clinical study of over 22 subjects (including healthy subjects and cardiovascular patients) was performed to test the capability of the developed system. Data correlation between this measurement system and echocardiogram exams is also performed. The high resolution of the MEMS accelerometer used provides a better signal for SCG wave recognition, enabling a more consistent study of the diagnostic capability of this technique in clinical analysis.
TypeArticle
URIhttp://hdl.handle.net/1822/58266
DOI10.3390/s18103441
ISSN1424-8220
Peer-Reviewedyes
AccessOpen access
Appears in Collections:ICVS - Artigos em Revistas Internacionais com Referee

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