15,803 research outputs found
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques
Hypertension is a potentially unsafe health ailment, which can be indicated
directly from the Blood pressure (BP). Hypertension always leads to other
health complications. Continuous monitoring of BP is very important; however,
cuff-based BP measurements are discrete and uncomfortable to the user. To
address this need, a cuff-less, continuous and a non-invasive BP measurement
system is proposed using Photoplethysmogram (PPG) signal and demographic
features using machine learning (ML) algorithms. PPG signals were acquired from
219 subjects, which undergo pre-processing and feature extraction steps. Time,
frequency and time-frequency domain features were extracted from the PPG and
their derivative signals. Feature selection techniques were used to reduce the
computational complexity and to decrease the chance of over-fitting the ML
algorithms. The features were then used to train and evaluate ML algorithms.
The best regression models were selected for Systolic BP (SBP) and Diastolic BP
(DBP) estimation individually. Gaussian Process Regression (GPR) along with
ReliefF feature selection algorithm outperforms other algorithms in estimating
SBP and DBP with a root-mean-square error (RMSE) of 6.74 and 3.59 respectively.
This ML model can be implemented in hardware systems to continuously monitor BP
and avoid any critical health conditions due to sudden changes.Comment: Accepted for publication in Sensor, 14 Figures, 14 Table
Versatile silicon-waveguide supercontinuum for coherent mid-infrared spectroscopy
Infrared spectroscopy is a powerful tool for basic and applied science. The
molecular spectral fingerprints in the 3 um to 20 um region provide a means to
uniquely identify molecular structure for fundamental spectroscopy, atmospheric
chemistry, trace and hazardous gas detection, and biological microscopy. Driven
by such applications, the development of low-noise, coherent laser sources with
broad, tunable coverage is a topic of great interest. Laser frequency combs
possess a unique combination of precisely defined spectral lines and broad
bandwidth that can enable the above-mentioned applications. Here, we leverage
robust fabrication and geometrical dispersion engineering of silicon
nanophotonic waveguides for coherent frequency comb generation spanning 70 THz
in the mid-infrared (2.5 um to 6.2 um). Precise waveguide fabrication provides
significant spectral broadening and engineered spectra targeted at specific
mid-infrared bands. We use this coherent light source for dual-comb
spectroscopy at 5 um.Comment: 26 pages, 5 figure
Performance Analysis of Adaptive Notch Filter Active Damping Methods for Grid-Connected Converters under a Varying Grid Impedance
Grid connected converters commonly use LCL filters for harmonic content suppression. However, associated with such filters is a resonant frequency at which the gain value increases significantly. To mitigate this problem, a notch filter is introduced into the current control loop of the converter. When tuned to the LCL resonant frequency, it introduces an opposing notch, thereby neutralizing the resonance effect. To ensure robustness of the control system, the notch filter must be made adaptive. This will ensure any variation in the resonant frequency, either due to a change in grid impedance or aging of components, can be tracked accurately. This paper provides two novel methods of online tuning for the adaptive notch filter using grid impedance estimation and discrete Fourier transform (DFT) techniques. Simulation results show that both methods are capable of fast and accurate detection of the resonant frequency, for varying strengths of the grid
The analysis of ion flow between the human body and local ground
The project was designed to get a better sense of the phenomenon referred to as Earthing. Earthing is defined as the process where the human body is in contact with the earth and can freely transfer ions between the Earth and itself. Those promoting the idea of earthing say that this transfer of ions is important in maintaining a healthy immune system, and they claim that the recent increase in autoimmune diseases is the result of humans being insulated from the ground because of the shoes they wear and the places in which they live
Space-time coupling of shaped ultrafast ultraviolet pulses from an acousto-optic programmable dispersive filter
A comprehensive experimental analysis of spatio-temporal coupling effects
inherent to the acousto-optic programmable dispersive filter (AOPDF) is
presented. Phase and amplitude measurements of the AOPDF transfer function are
performed using spatially and spectrally resolved interferometry.
Spatio-temporal and spatio-spectral coupling effects are presented for a range
of shaped pulses that are commonly used in quantum control experiments. These
effects are shown to be attributable to a single mechanism: a
group-delay--dependent displacement of the shaped pulse. The physical mechanism
is explained and excellent quantitative agreement between the measured and
calculated coupling speed is obtained. The implications for quantum control
experiments are discussed.Comment: 8 pages, 6 figures; accepted for publication within JOSA
Modal analysis of high frequency acoustic signal approach for progressive failure monitoring in thin composite plates
During the past few decades, many successful research works have evidently shown remarkable capability of Acoustic Emission (AE) for early damage detection of composite materials. Modal Analysis of AE signals or Modal Acoustic Emission (MAE) offers a better theoretical background for acoustic emission analysis which is necessary to get more qualitative and quantitative result. In this paper, the application of MAE concept in a single channel AE source location detection method for failure characterization and monitoring in thin composite plates was presented. Single channel AE source location is one of the recent studies for composite early damage localization, owing to the growing interest and knowledge of modal analysis of AE wave. A tensile test was conducted for glass fiber epoxy resin specimen with small notch. A single channel of AE system was used to determine the AE source location on specimen under testing. The results revealed that AE single channel source location provides reasonable accuracy for glass fiber laminate which was tested
A pseudo-matched filter for chaos
A matched filter maximizes the signal-to-noise ratio of a signal. In the
recent work of Corron et al. [Chaos 20, 023123 (2010)], a matched filter is
derived for the chaotic waveforms produced by a piecewise-linear system.
Motivated by these results, we describe a pseudo-matched filter, which removes
noise from the same chaotic signal. It consists of a notch filter followed by a
first-order, low-pass filter. We compare quantitatively the matched filter's
performance to that of our pseudo-matched filter using correlation functions in
a simulated radar application. On average, the pseudo-matched filter performs
with a correlation signal-to-noise ratio that is 2.0 dB below that of the
matched filter. Our pseudo-matched filter, though somewhat inferior in
comparison to the matched filter, is easily realizable at high speed (> 1 GHz)
for potential radar applications
A review of RFI mitigation techniques in microwave radiometry
Radio frequency interference (RFI) is a well-known problem in microwave radiometry (MWR). Any undesired signal overlapping the MWR protected frequency bands introduces a bias in the measurements, which can corrupt the retrieved geophysical parameters. This paper presents a literature review of RFI detection and mitigation techniques for microwave radiometry from space. The reviewed techniques are divided between real aperture and aperture synthesis. A discussion and assessment of the application of RFI mitigation techniques is presented for each type of radiometer.Peer ReviewedPostprint (published version
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