Photoplethysmography and its application in clinical physiological measurement

In the single authored, expert voice that is this book's unique strength, Arnold Katz provides a comprehensive overview of the physiological and biophysical basis of cardiac function, beginning with structure and proceeding to biochemistry, biophysics, and pathophysiology in arrhythmias, ischemia, and heart failure. Emphasis is on the interrelationships of basic processes among the cell, cardiac muscle function, and the biophysics of contractile and electrical behavior. This edition includes new material on cell signaling and molecular biology.

Physiology of the heart

Automated Irrigation System Using a Wireless Sensor Network and GPRS Module

Thank you for downloading bioelectrical signal processing in cardiac and neurological applications. Maybe you have knowledge that, people have search hundreds times for their chosen books like this bioelectrical signal processing in cardiac and neurological applications, but end up in malicious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they are facing with some infectious bugs inside their computer.

Bioelectrical Signal Processing In Cardiac And Neurological Applications

Electronic nose applications in environmental monitoring are nowadays of great interest, because of the instruments' proven capability of recognizing and discriminating between a variety of different gases and odors using just a small number of sensors. Such applications in the environmental field include analysis of parameters relating to environmental quality, process control, and verification of efficiency of odor control systems. This article reviews the findings of recent scientific studies in this field, with particular focus on the abovementioned applications. In general, these studies prove that electronic noses are mostly suitable for the different applications reported, especially if the instruments are specifically developed and fine-tuned. As a general rule, literature studies also discuss the critical aspects connected with the different possible uses, as well as research regarding the development of effective solutions. However, currently the main limit to the diffusion of electronic noses as environmental monitoring tools is their complexity and the lack of specific regulation for their standardization, as their use entails a large number of degrees of freedom, regarding for instance the training and the data processing procedures.

/pdf/electronic-noses-for-environmental-monitoring-applications-2vlrcopib2.pdf

Electronic Noses for Environmental Monitoring Applications

The thermal tomography is gaining importance now a days because it is a very convenient, versatile and non-contact method which has been used for assessment of heating quality in a bounded volumetric space (e.g. furnace) subjected to heating. Thermal images generated thus experimentally, are then analysed using image processing technique for performance evaluation of heating quality (e.g. Uniform, Non-uniform etc.). In the pre-processing stage, the colour (R-G-B) images are extracted to three channel images (i.e. R, G and B) containing spatial pixel intensities. The images corresponding to each channel are stored as pixels values, each pixel value represents a colour intensity value. Histograms are frequency distribution (counts) of these intensity values that occur spatially. During training phase, the thermal tomographic image histogram for each channel (R, G and B) of desired heating quality are generated and stored. In testing phase, the unknown thermal tomographic image histogram is compared with trained histograms following histogram similarity method, which computes the overlapping area between the trained histogram and unknown histogram curves. The result shows that the area reaches maximum values for similar thermal images. The likeness for the similarity of the test image as captured are found out histogram similarity factors i.e. area of overlapped histogram curves, histogram-distance and skewness-kurtosis based similarity between the histograms. Heating quality (e.g. uniform or non-uniform) is then assessed based upon these found out histogram similarity factor values viz. an unknown test image has got the most similarity with that known heating class database which has got the maximum Histogram intersection percentage, minimum mean Euclidean distance between the normalised histograms and minimum mean Distance (Skewness-Kurtosis) measure.

Authentication of Thermal Tomographic Images using Histogram Similarity Detection Techniques

This article represents a simple and effective way for fault classification in a long transmission line. A correlation-based study has been done in this work using the post-fault transient oscillation of phase voltage and current signals. It is observed that the rms voltage starts to fall very rapidly after the fault and the phase currents increase abruptly for the faulted line(s). These opposite natures of change are mathematically interpreted using correlation analysis. Noise is also incorporated in the signals to develop a more practical environment. Fault location is also varied along the line span. The correlation coefficients of the three lines for ten fault prototypes along with the no-fault condition and the test signal data are arranged. The test data is compared to each fault class signature to predict fault class. Only (3/20) cycle post-fault signals are analyzed using the proposed classifier to produce 99.4286% prediction accuracy.

A Correlation-Based Classification of Power System Faults in a Long Transmission Line

Cardiovascular diseases (CVD) or abnormalities are the leading causes of mortality in today’s era throughout the world. A human life can be saved on proper time, if they are diagnosed with diseases at the earliest. The major popular modalities in monitoring the electrical activity of the heart using the Electrocardiogram (ECG), the Phonocardiogram (PCG), and the Photoplethysmogram (PPG). Electrocardiogram (ECG) readings with sophisticated signal processing tools hinders because of non-portability. Whereas, PPG has become increasingly common due to its low cost, wireless capabilities, and relatively small size and optical nature. Including normal patient, Cardiac dis-order such as hypertension, ischemic heart disease, myocardial infarction, among others, disrupts the body’s volumetric blood flow rate. The work proposes a revolutionary strategy to utilize the IoT-based platform to download and access the vast amount of bio signals data effectively using data-compression technique to save time and cost without compromising accuracy. The solution is the implementation of Gaussian and Fourier models of the PPG datasets and, after that, compression of each model parameter. The enormous data set of various cardiac patients contains some vital information for which the implementation of such a robust data compression tool or data compression mechanism is necessary. So, the information can be accessed from anywhere in the world with a high-speed internet connection and with the specific settings for (Unique Patient ID) for PPG monitoring.

Data Compression of Photoplethysmogram Signal for IoT Application

Water productivity improvement is getting the prime concern to sustain irrigated rice production in the water-scarce areas of Bangladesh under changing climate. Besides, profitable cropping pattern selection is one of the major indicators of commercial agriculture. The study was conducted at Mithapukur and Pirganj Upazilas of Rangpur district during 2018–2020 to evaluate the water saving and profitability of three crop cropping patterns over two crops pattern. The experiment involved two improved patterns, T. Aman-Mustard-Boro (CP1) and T. Aman-Potato-Boro (CP2), and one locally popular pattern, T. Aman-Fallow-Boro (CP3). Irrigation management involved supplemental irrigation for T. Aman rice, irrigation application after disappearing standing water for Boro rice, and two irrigations at critical stages of potato and mustard. Both CP1 and CP2 received higher rainfall than CP3 because the delayed transplanting of Boro rice captured more rainfall. The improved patterns of CP1 and CP2 saved 22–40% of irrigation water compared with CP3. Among the patterns, CP2 achieved the highest rice equivalent yield (REY) of 21.1–33.6 t·ha−1 due to excellent potato production. Similarly, CP2 provided the highest irrigation water productivity because of higher REY as well as less irrigation requirement. Both CP1 and CP2 patterns returned a higher gross margin than CP3. The findings indicated that the inclusion of potato and mustard in the T. Aman-Fallow-Boro cropping pattern saved irrigation water as well as increased production and economic benefit. Adoption of these water-efficient cropping patterns may reduce groundwater irrigation in the water-scarce areas of Bangladesh.

Palash Kumar Kundu

Papers

Authentication of Thermal Tomographic Images using Histogram Similarity Detection Techniques

A Correlation-Based Classification of Power System Faults in a Long Transmission Line

Data Compression of Photoplethysmogram Signal for IoT Application

Cropping System Intensification: An Approach to Increase Yield, Water Productivity, and Profitability in North-West Bangladesh

Object Detection Using Computer Vision Methods on Real-Time Lux Sensor Data