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

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dc.contributor.authorLeitão, Fábio André Costapor
dc.contributor.authorMoreira, Eurico Estevespor
dc.contributor.authorAlves, Filipepor
dc.contributor.authorLourenço, Máriopor
dc.contributor.authorAzevedo, Olgapor
dc.contributor.authorGaspar, Joãopor
dc.contributor.authorRocha, Luis A.por
dc.date.accessioned2019-01-16T11:19:02Z-
dc.date.available2019-01-16T11:19:02Z-
dc.date.issued2018-10-13-
dc.identifier.issn1424-8220por
dc.identifier.urihttps://hdl.handle.net/1822/58266-
dc.description.abstractSeveral 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.por
dc.description.sponsorshipThis work is supported by FCT with the reference project UID/EEA/04436/2013, COMPETE 2020 with the code POCI-01-0145-FEDER-006941.por
dc.language.isoengpor
dc.publisherMDPIpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147325/PTpor
dc.rightsopenAccesspor
dc.subjectAccelerometrypor
dc.subjectAdultpor
dc.subjectAgedpor
dc.subjectBallistocardiographypor
dc.subjectCardiovascular Diseasespor
dc.subjectDiagnostic Techniques, Cardiovascularpor
dc.subjectElectrocardiographypor
dc.subjectEquipment Designpor
dc.subjectFemalepor
dc.subjectHeart Ratepor
dc.subjectHumanspor
dc.subjectMalepor
dc.subjectMicro-Electrical-Mechanical Systemspor
dc.subjectMiddle Agedpor
dc.subjectSignal-To-Noise Ratiopor
dc.subjectVibrationpor
dc.subjectWireless Technologypor
dc.subjectSignal Processing, Computer-Assistedpor
dc.subjectaccelerometerpor
dc.subjectballistocardiogrampor
dc.subjectMEMSpor
dc.subjectpull-in timepor
dc.subjectseismocardiogrampor
dc.titleHigh-resolution seismocardiogram acquisition and analysis systempor
dc.typearticlepor
dc.peerreviewedyespor
oaire.citationStartPage3441por
oaire.citationIssue10por
oaire.citationVolume18por
dc.identifier.doi10.3390/s18103441por
dc.identifier.pmid30322147por
dc.subject.wosScience & Technologypor
sdum.journalSensorspor
Aparece nas coleções:ICVS - Artigos em revistas internacionais / Papers in international journals

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