Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/58266

TítuloHigh-resolution seismocardiogram acquisition and analysis system
Autor(es)Leitão, Fábio André Costa
Moreira, Eurico Esteves
Alves, Filipe
Lourenço, Mário
Azevedo, Olga
Gaspar, João
Rocha, Luis A.
Palavras-chaveAccelerometry
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
Data13-Out-2018
EditoraMDPI
RevistaSensors
Resumo(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.
TipoArtigo
URIhttps://hdl.handle.net/1822/58266
DOI10.3390/s18103441
ISSN1424-8220
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:ICVS - Artigos em revistas internacionais / Papers in international journals

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