Simple Heart Rate Monitoring System with a MEMS Gyroscope for Sleep Studies

Hernandez, Joel Ezequiel; Cretu, Edmond

doi:10.1109/iemcon.2018.8614753

Cited by 17 publications

(15 citation statements)

References 19 publications

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“…The works on gyrocardiography published in 2018 describe detecting various cardiovascular diseases [ 55 , 56 ], motion noise cancellation [ 36 ], standalone heartbeat detection [ 37 , 57 , 58 ] and the measurement of pulse transit time [ 59 ]. The works of Iftikhar et al [ 55 ], Mehrang et al [ 60 ] and Yang et al [ 56 ] were the first attempts to use gyrocardiographic data to classify various cardiac diseases (myocardial infarction and coronary artery disease) using support vector machine (SVM) [ 60 ], kernel-based SVM (KSVM) and random forests (RF) [ 55 ].…”

Section: Resultsmentioning

confidence: 99%

“…In 2018 Vega-Martínez et al published a review article on the heart rate measurements mentions the use of gyrocardiography as a method for monitoring the heart rate which may be used to perform HRV analysis [ 62 ]. Standalone heart beat detection methods published in 2018 include the methods proposed by Lee et al [ 37 , 38 ], Hernandez and Cretu [ 57 ] and Kaisti et al [ 58 ] with complementary data set “Mechanocardiograms with ECG Reference” published on IEEE DataPort [ 63 ].…”

Section: Resultsmentioning

confidence: 99%

“…Based on the review of available works on the GCG, the overall list of applications is as follows: heart beat detection [ 9 , 20 , 37 , 39 , 48 , 53 , 57 , 58 , 81 , 83 , 84 ], fetal heart rate extraction [ 72 ], the analysis of hemodynamics [ 66 ], including: stroke volume estimation [ 111 ], IVCT, LVET [ 11 ], PEP [ 11 , 112 ], QS2 estimation [ 11 ]. cardiac and respiratory gating in PET/CT [ 33 , 46 , 69 , 113 ], HRV analysis [ 47 , 65 , 77 , 83 , 84 ], annotation of seismocardiograms [ 39 ], annotation of heart sounds [ 80 ], diagnosing of various cardiovascular diseases, including: atrial fibrillation [ 32 , 49 , 60 , 61 , 64 , 65 , 77 , 108 ], myocardial infarction [ 54 , 55 , 60 ...…”

Section: Resultsmentioning

confidence: 99%

“…In Ref [ 37 ], Lee et al proposed the heart beat detector which consists of preprocessing based on Savitzky-Golay filter L2-normalization and ensemble averaging and the dominant frequency of the Sparse Fast Fourier Transform (SFFT) between 0.75 and 2.5 Hz. In the same year Hernandez and Cretu presented their approach to detect heart beats by using band-pass filtering, multiplying the signal by

, squaring the signal with keeping the sign (see Equation ( 3 )), adaptive thresholding and detecting local maxima with ignoring the faulty peaks (with unusual high or low slopes) [ 57 ]. Kaisti et al published a data set with electrocardiograms, seismocardiograms and gyrocardiograms acquired on 29 healthy male volunteers at IEEE DataPort [ 63 ].…”

Section: Resultsmentioning

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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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

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

Sieciński

Kostka

Tkacz

2020

Sensors

View full text Add to dashboard Cite

show abstract

“…The physical attachment of electrodes can sometimes be quite inconvenient, especially from a sleep studies perspective. Hernandez and Cretu [165] have developed and analyzed a single axis MEMS gyroscope based heart rate monitoring system to detect heartbeats, with a -0.3505bpm mean absolute error (MAE) and ±2.7167bpm standard deviation of the absolute error (SDAE). Due to its small size and low error values, it can be used to monitor heart rate during sleep and detect sustained sinus bradycardias and tachycardias.…”

Section: Figure 30 Ecg Signal Measurement From the Biopotential Elecmentioning

confidence: 99%

MEMS Sensors for Diagnostics and Treatment in the Fight Against COVID-19 and Other Pandemics

et al. 2021

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As the world is going through an existential global health crisis, i.e., the outbreak of novel coronavirus-caused respiratory disease , the healthcare systems of all the countries require readily available, low cost and highly precise equipment for the rapid diagnostics, monitoring, and treatment of the disease. The performance and precision of this equipment are solely dependent on the sensors being used. The advancement in research and development of micro-electro-mechanical systems (MEMS) based sensors during recent years, has resulted in the improvement of the conventional equipment being used in biomedical and health care applications. Microfluidics (Lab-on-a-chip) and MEMS sensors are now being used extensively for quick and accurate detection, progression monitoring, and treatment of various diseases including Covid-19. The ongoing miniaturization and design improvements have resulted in more precise sensors and actuators for healthcare applications, even for micro and nanoscale measurements in drug delivery and other invasive applications. This article aims at reviewing the MEMS sensors being used or which can be used in the important equipment for the detection and treatment of Covid-19 or other pandemics. An insight into various designs and working principles of the research-based and commercially available MEMS sensors is presented. The study highlights the role and importance of MEMS sensors in the improvement of equipment with conventional sensors. MEMS sensors outperform the conventional sensors due to their small size (1µm-1mm), negligible weight, prompt response, precise measurements, portability, and ease of integration with electronic circuitry.

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Non-consecutive GNSS signal tracking-based ultra-tight integration system of GNSS/INS for smart devices

Liu¹,

Gao²,

Gao³

et al. 2022

GPS Solut

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Simple Heart Rate Monitoring System with a MEMS Gyroscope for Sleep Studies

Cited by 17 publications

References 19 publications

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

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

MEMS Sensors for Diagnostics and Treatment in the Fight Against COVID-19 and Other Pandemics

Non-consecutive GNSS signal tracking-based ultra-tight integration system of GNSS/INS for smart devices

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