Gyrocardiography Unit for Non-Invasive Human Diseases Diagnosis

Achildiev, V.M.; Bedro, N.A.; Uspenckiy, Vyacheslav; Gruzevich, Yuriy K.; Komarova, M.N.; Rulev, Maksim; Evseeva, Yuliya

doi:10.23919/icins43215.2020.9133891

Cited by 3 publications

(4 citation statements)

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“…The HRV coefficients calculated in our study on the seismocardiograms presented in Table 2 are slightly diffrent than reported by Charlier et al [68], Ramos-Castro et al [13], Sieciński et al [19,36] [8] and disturbances than the SCG signal [7,70] because over 60% of the total kinetic energy transfered from the heart to the chest wall is the rotational energy [69].…”

Section: Discussioncontrasting

confidence: 42%

Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms on Healthy Volunteers

Sieciński

Kostka

Tkacz

2020

Sensors

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Physiological variation of the interval between consecutive heartbeats is known as the heart rate variability (HRV). HRV analysis is traditionally performed on electrocardiograms (ECG signals) and has become a useful tool in the diagnosis of different clinical and functional conditions. The progress in the sensor technique encouraged the development of alternative methods of analyzing cardiac activity: Seismocardiography and gyrocardiography. In our study we performed HRV analysis on ECG, seismocardiograms (SCG signals) and gyrocardiograms (GCG signals) using the PhysioNet Cardiovascular Toolbox. The heartbeats in ECG were detected using the Pan–Tompkins algorithm and the heartbeats in SCG and GCG signals were detected as peaks within 100 ms from the occurrence of the ECG R waves. The results of time domain, frequency domain and nonlinear HRV analysis on ECG, SCG and GCG signals are similar and this phenomenon is confirmed by very strong linear correlation of HRV indices. The differences between HRV indices obtained on ECG and SCG and on ECG and GCG were statistically insignificant and encourage using SCG or GCG for HRV estimation. Our results of HRV analysis confirm stronger correlation of HRV indices computed on ECG and GCG signals than on ECG and SCG signals because of greater tolerance to inter-subject variability and disturbances.

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Section: Discussioncontrasting

confidence: 42%

Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms on Healthy Volunteers

Sieciński

Kostka

Tkacz

2020

Sensors

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“…In 2020 Achi’ldiev et al provided an extended overview and comparison of the gyrocardiograms to seismocardiograms and electrocardiograms. They compared the waveforms, spectra, amplitude ranges, bispectra, the length and the area of the cardiac cycle [ 76 ]. In the same year, Mehrang et al [ 77 ] proposed a new classifier of cardiac diseases (atrial fibrillation and acute decompensated heart failure) based on SCG and GCG signals.…”

Section: Resultsmentioning

confidence: 99%

“…The description of fiducial points based on seismocardiography is based on the fact that the GCG peaks correspond to the same physiological events as the SCG peaks [ 32 , 40 , 76 , 92 ]. Simultaneous recording of SCG and electrocardiogram (ECG) indicated that the peaks and valleys of the SCG correspond to known physiological events including mitral valve opening (MO) and closure (MC), isovolumetric contraction, ejection, aortic valve opening (AO) and closure (AC), and cardiac filling [ 27 , 95 ].…”

Section: Resultsmentioning

confidence: 99%

“…Gyrocardiography registers rotational components of the precordial vibrations in response to myocardium movement [11]. Because the waves in the GCG and SCG signals correspond to the same physiological events visible in cardiac vibrations [40,76,92], we can treat the SCG and GCG as complimentary techniques [8,47].…”

Section: Physiological Sources Of Gyrocardiographymentioning

confidence: 99%

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Gyrocardiography: A Review of the Definition, History, Waveform Description, and Applications

Sieciński

Kostka

Tkacz

2020

Sensors

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Gyrocardiography (GCG) is a non-invasive technique of analyzing cardiac vibrations by a MEMS (microelectromechanical system) gyroscope placed on a chest wall. Although its history is short in comparison with seismocardiography (SCG) and electrocardiography (ECG), GCG becomes a technique which may provide additional insight into the mechanical aspects of the cardiac cycle. In this review, we describe the summary of the history, definition, measurements, waveform description and applications of gyrocardiography. The review was conducted on about 55 works analyzed between November 2016 and September 2020. The aim of this literature review was to summarize the current state of knowledge in gyrocardiography, especially the definition, waveform description, the physiological and physical sources of the signal and its applications. Based on the analyzed works, we present the definition of GCG as a technique for registration and analysis of rotational component of local cardiac vibrations, waveform annotation, several applications of the gyrocardiography, including, heart rate estimation, heart rate variability analysis, hemodynamics analysis, and classification of various cardiac diseases.

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