HRV and BPV neural network model with wavelet based algorithm calibration

Postolache, Gabriela; Carvalho, Lopo; Postolache, Octavian; Girão, Pedro Silva; Rocha, Isabel

doi:10.1016/j.measurement.2009.01.003

Cited by 8 publications

(5 citation statements)

References 22 publications

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“…For pratical uses, it permits to establish that EEG and ergospirometry are the minimum set of instrumentation we can use without ECG to diagnose impairments for this kind of patients. Conversely, without ergospirometry, there is a lack of effectiveness in the probable diagnosis and it could dangerous to proceed with rehabilitation or surgical intervention even if some research has illustrated an alternative way of determining LF and HF components using wavelet-based algorithm for calibration [22]; this alternative way, that acts as calibration as it is done in this paper, is not sufficient and enough for the purposes of our research.…”

Section: Discussionmentioning

confidence: 89%

Low-frequency detection in ECG signals and joint EEG-Ergospirometric measurements for precautionary diagnosis

Lay-Ekuakille¹,

Vergallo²,

Trabacca³

et al. 2013

Measurement

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Section: Discussionmentioning

confidence: 89%

Low-frequency detection in ECG signals and joint EEG-Ergospirometric measurements for precautionary diagnosis

Lay-Ekuakille¹,

Vergallo²,

Trabacca³

et al. 2013

Measurement

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“…After the application of the detrending procedure, the peak detection algorithm [18] was applied for 60s time segments for radar BCG signal and BCG ref signal and the heart rate are calculated. For signals of a set of five volunteers simultaneously acquired, the registered errors on the heart rate estimation, using the rBCG, were greater in about 2% than the registered errors when the BCG ref signal is used.…”

Section: Results and Dicussionsmentioning

confidence: 99%

Microwave FMCW Doppler radar implementation for in-house pervasive health care system

Postolache

Girão

Madeira

et al. 2010

2010 IEEE International Workshop on Medical Measurements and Applications

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In recent years, the research in the area of ubiquitous healthcare has intensified. There are many technological advances regarding the development of unobtrusive sensors for cardiac and respiratory activity, but the current scenario is still far away from an everyday life fulfilled with ubiquitous healthcare systems. In this paper, it is described the usage of 24GHz microwave FMCW (frequency modulated continuous wave) Doppler radar (MDR) as one of the main components of a pervasive biomedical system that is part of an assistive environment for the people with less mobility or people with long term health condition. As parts of the present work, in this paper are mentioned the design and implementation of an assistive environment based on a MDR sensor, an experimental study concerning the microwave Doppler radar characteristics and remote sensing of heart rate and breath rate, based on acquisition and processing of the signals delivered by the used radar. Keywords-ubiquitous healthcare system, unobtrusive sensors, microwave Doopler radarI.

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“…The HRV measurement is generally performed using time domain methods including statistical methods, and frequency domain methods mainly based on FFT [11]. Developed to overcome the drawbacks of traditional Fourier analysis, simultaneously providing time and frequency information ,the discrete wavelet transform (DWT) [12] is applied in the HRV studies [13] taking also into account that WT analysis is not restricted to stationary signals and can also be used for signals obtained for reduced recorded time (1-2 minutes). A limitation of the method consists in the choice of basic wavelet function (the mother wavelet).…”

Section: Cmentioning

confidence: 99%

“…However, experimental tests were done to find the optimal mother wavelet solution for the particular case of HRV. Mother wavelets such as Daubechies 04 prove to be an appropriate solution [13]. The LabVIEW functions used to extract the HRV considering the approximation and details were: WA DWT.vi, WA Get coefficients of DWT.vi, WA Set coefficients of DWT.vi, WA Inverse DWT.vi.…”

Section: Cmentioning

confidence: 99%

Unobtrusive cardio-respiratory monitoring based on microwave Doppler radar

Postolache

Girão

Lunca

et al. 2012

2012 International Conference and Exposition on Electrical and Power Engineering

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Detection and monitoring of vital signs is an important task namely in rescue missions. It requires the use of biomedical devices that permit to acquire the vital signs information in an unobtrusive and even remote way, which represents an important challenge in the design and implementation of systems for vital signs detection and monitoring. At the same time, the usage of non-mechanical and non-electrical contact systems for vital signs monitoring in home-tele-healthcare applications increases the user comfort and significantly reduces the stress associated with measurement procedures. The article presents the design and implementation of an unobtrusive cardiorespiratory assessment module based on microwave Doppler radar and dual channel conditioning circuit including 4 th order analog active filters and programmable gain amplifiers. The module testing was done using an automated measurement system based on a PXI acquisition platform and LabVIEW software. An advanced digital signal processing software component expressed by wavelet algorithms for denoising, detrending and peak-detection was designed and implemented in order to extract information such as heart rate, heart rate variability and respiration rate. A practical approach concerning the system performance is included in the paper. Keywords -microwave Doppler radar sensor, analog and digital filtering, wavelet decompositionI.

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HRV and BPV neural network model with wavelet based algorithm calibration

Cited by 8 publications

References 22 publications

Low-frequency detection in ECG signals and joint EEG-Ergospirometric measurements for precautionary diagnosis

Low-frequency detection in ECG signals and joint EEG-Ergospirometric measurements for precautionary diagnosis

Microwave FMCW Doppler radar implementation for in-house pervasive health care system

Unobtrusive cardio-respiratory monitoring based on microwave Doppler radar

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