Cardiovascular Diseases (CVDs) cause a very large number of casualties around the world every year and cardiac arrhythmias contribute to significant proportion CVD related deaths. Bedside activity monitors in hospitals are based on electrocardiogram (ECG) processing known produce too many false alarms. Moving beyond bedside care, ECG is not suitable for use wearable devices. Photoplethysmography (PPG) other hand provides an inexpensive more device-friendly alternative. This work presents...

This paper presents a technique for coronary artery disease (CAD) detection through photoplethysmography (PPG). work is aimed at developing non-invasive, inexpensive screening suitable home monitoring. Time domain analysis of PPG signal and its second derivative has been carried out to extract distinguishing features. Support Vector Machine based classifier used classify CAD patients. ICU patient data from MIMIC-II dataset performance evaluation. Sensitivity 85% specificity 78% achieved the...

The paper presents a novel approach of measuring blood pressure using Photoplethysmography (PPG). It is non-invasive, cuffless and painless technique that deploys infrared light to detect small variation in volume the tissues with each cardiac cycle. Few specific features (viz. systolic upstroke time (ST), diastolic (DT) delay between peak (T1)) waveform obtained via this were examined correlated arterial 22 subjects two age groups i) 18-25 years ii) 26-50 years. was observed there good...

This paper presents a point of care testing device for neurovascular coupling (NVC) from simultaneous recording electroencephalogram (EEG) and near infrared spectroscopy (NIRS) during anodal transcranial direct current stimulation (tDCS). Here, tDCS modulated cortical neural activity leading to hemodynamic response can be used identify the impaired cerebral microvessels functionality. The impairments in functionality may lead cerebrovascular reactivity (CVR), where severely reduced CVR...

This paper proposes implementation-friendly and dynamically reconfigurable VLSI-algorithm for convolutional neural network (CNN) inference engine. Based on this algorithm additionally suggested techniques, high-throughput hardware-efficient architecture of kernel processing unit (KPU) the CNN engine has been presented here. It specially enables proposed inference-engine to achieve efficient local data reuse all computations state-of-the-art models. Hardware implementation such KPU Zynq...

Abstract There has been a constant demand for the development of non-invasive, sensitive glucose sensor system that offers fast and real-time electronic readout blood levels. In this article, we propose new detecting levels by estimating concentration acetone in exhaled breath. A TGS822 tin oxide (SnO2) used to detect air. Acetone breath showed correlation with Effects pressure, temperature humidity have considered. Artificial Neural Network (ANN) extract features from output waveform...

Transcranial direct current stimulation (tDCS) has been shown to evoke hemodynamics response; however, the mechanisms have not investigated systematically using systems biology approaches. Our study presents a grey-box linear model that was developed from physiologically detailed multi-compartmental neurovascular unit consisting of vascular smooth muscle, perivascular space, synaptic and astrocyte glial cell. Then, linearization performed on nonlinear find appropriate complexity (Akaike...

The paper presents a technique to detect significant systolic peaks, the percussion (P) and tidal peak (T) diastolic (D) from arterial blood pressure (ABP) waveform. is aimed at robust detection even in presence of noise. Singular Value Decomposition (SVD) based dominant period extraction ABP waveform followed by wavelet transform local applied points interest. MIMIC-II databse serves as training dataset select SVD parameters CSL Benchmark database used analyze technique. Salient for was...

Stroke is the leading cause of severe chronic disability and second death worldwide with 15 million new cases 50 stroke survivors. The post may be ameliorated early neuro rehabilitation where non-invasive brain stimulation (NIBS) techniques can used as an adjuvant treatment to hasten effects. However, heterogeneity in lesioned will require individualized NIBS intervention innovative neuroimaging technologies portable electroencephalography (EEG) functional-near-infrared spectroscopy (fNIRS)...

Abstract The recent trends in developing low cost techniques to support effective agriculture countries with large population has motivated the development of sensing systems provide for irrigation facilities and also conservation water at same time. current paper highlights temperature soil moisture sensor that can be placed on suitable locations field monitoring soil, two parameters which crops are susceptive. system is based a feedback control mechanism centralized unit regulates flow...

Abstract The paper proposes comparative study of Field Programmable Gate Array implementation 2 closely related approaches to track maximum power point a solar photovoltaic array. current work uses versions kalman filter viz. linear and unscented point. Using either these approach the tracking (MPPT) becomes much faster than using conventional Perturb & Observe specifically in case sudden weather changes. In this analysis both algorithms being implemented on FPGA is presented....

This paper presents a unique technique for noninvasive estimation of blood glucose concentration using near infra red spectroscopy. The spectroscopy has been performed at the second overtone which falls in region. transmission photoplethsymography (PPG). analog front end system implemented to get PPG signal wavelengths 1070nm, 950nm, 935nm. that obtained is processed and double regression analysis carried out with artificial neural network estimating levels. root mean square error prediction...

Transcranial direct current stimulation (tDCS) has been shown to modulate corticospinal excitability. We used near-infrared spectroscopy (NIRS) - electroencephalography (EEG) joint-imaging during and after anodal tDCS measure changes in mean cerebral haemoglobin oxygen saturation (rSO2) along with the log-transformed mean-power of EEG within 0.5 Hz 11.25 Hz. In two separate studies, we investigated local post-tDCS alterations from baseline at site using NIRS-EEG/tDCS as well motor evoked...

The paper presents a novel high speed and low power 15-4 Compressor for multiplication applications. proposed compressor uses bit sliced adder architecture to exploit the parallelism in computation of sum 15 input bits by five full adders. newly is also centered around design 5-3 that attempts minimize stage delays conventional designed using single half architectures. minimum number hardware resources so far as logic level concerned. tested 14 transistor 10 designs reported literature....

Transcranial direct current stimulation (tDCS) is an effective and safe noninvasive brain (NIBS) procedure to modulate neuronal excitability. The present preclinical study was carried out validate the impact of innovative high definition (HD) fabricated spiking Au/AgCl electrodes via a tDCS on rat model with depression-like behavior. In this study, chronic stress-induced behavior developed over period 14 days. Furthermore, aftereffects NIBS procedures were investigated by providing dose (...

This paper proposes simplified classification technique to reduce the complexity of softmax-based in convolutional neural network (CNN) inference engine/accelerator. It primarily allows CNN accelerator directly classify object from activation fully connected (FC) layer that avoids complex exponential and divisive operations. Corresponding suggested technique, this work also presents a hardware-efficient VLSI architecture unit for accelerator. Furthermore, proposed classify-unit has been ASIC...