Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions people worldwide. Any technological tool enabling rapid screening the COVID-19 infection with high accuracy can be crucially helpful to healthcare professionals. The main clinical currently in use for diagnosis Reverse transcription polymerase chain reaction (RT-PCR), expensive, less-sensitive requires specialized medical personnel. X-ray imaging an easily...

Electromyography (EMG) signals can be used for clinical/biomedical applications, Evolvable Hardware Chip (EHW) development, and modern human computer interaction. EMG acquired from muscles require advanced methods detection, decomposition, processing, classification. The purpose of this paper is to illustrate the various methodologies algorithms signal analysis provide efficient effective ways understanding its nature. We further point up some hardware implementations using focusing on...

Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. Early detection using computer vision artificial intelligence (AI) help reduce adverse effects also overcome shortcomings human In this work, we propose use deep learning architecture based on recent convolutional neural network called EfficientNet 18,161 plain segmented...

Hypertension is a potentially unsafe health ailment, which can be indicated directly from the Blood pressure (BP). always leads to other complications. Continuous monitoring of BP very important; however, cuff-based measurements are discrete and uncomfortable user. To address this need, cuff-less, continuous non-invasive measurement system proposed using Photoplethysmogram (PPG) signal demographic features machine learning (ML) algorithms. PPG signals were acquired 219 subjects, undergo...

Diabetes foot ulceration (DFU) and amputation are a cause of significant morbidity. The prevention DFU may be achieved by the identification patients at risk institution preventative measures through education offloading. Several studies have reported that thermogram images help to detect an increase in plantar temperature prior DFU. However, distribution heterogeneous, making it difficult quantify utilize predict outcomes. We compared machine learning-based scoring technique with feature...

Speed is one of the basic reasons for vehicle accident. Many lives could have been saved if emergency service get accident information and reach in time. Nowadays, GPS has become an integral part a system. This paper proposes to utilize capability receiver monitor speed detect basing on monitored send location Alert Service Center. The will compare with previous every second through Microcontroller Unit. Whenever be below specified speed, it assume that occurred. system then acquired from...

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Identification and classification of voltage current disturbances in power systems are important tasks the monitoring protection system. Most quality non-stationary transitory detection have proved to be very demanding. The concept discrete wavelet transform for feature extraction disturbance signal combined with artificial neural network fuzzy logic incorporated as a powerful tool detecting...

Abstract Fetal electrocardiogram (FECG) signal contains potentially precise information that could assist clinicians in making more appropriate and timely decisions during labor. The ultimate reason for the interest FECG analysis is clinical diagnosis biomedical applications. extraction detection of from composite abdominal signals with powerful advance methodologies are becoming very important requirements fetal monitoring. purpose this review paper to illustrate various developed...

One of the major causes death all over world is heart disease or cardiac dysfunction. These diseases could be identified easily with variations in sound produced due to activity. sophisticated auscultations need important clinical experience and concentrated listening skills. Therefore, there an unmet for a portable system early detection illnesses. This paper proposes prototype model smart digital-stethoscope monitor patient's sounds diagnose any abnormality real-time manner. consists two...

This study presents the variations of photoplethysmogram (PPG) morphology with age. PPG measurement is done noninvasively at index finger on both right and left hands for a sample erectile dysfunction (ED) subjects. Some parameters are derived from analysis contour showed in association The age found to be an important factor that affects signals which accelerates disappearance PPG’s dicrotic notch inflection point as well. Arterial compliance degraded due fall arterial elasticity....

Analyzing Electroencephalogram (EEG) signal is a challenge due to the various artifacts used by Electromyogram,eye blink and Electrooculogram. The present de-noising techniques that are based on frequency selective filteringsuffers from substantial loss of EEG data. Noise removal using wavelet has characteristic preservingsignal uniqueness even if noise going be minimized. To remove signal, this research employeddiscrete transform. Root mean square difference been find usefulness...

Gait analysis is a systematic study of human locomotion, which can be utilized in variousapplications, such as rehabilitation, clinical diagnostics and sports activities. The various limitationssuch cost, non-portability, long setup time, post-processing time etc., the current gait analysistechniques have made them unfeasible for individual use. This led to an increase research interestin developing smart insoles where wearable sensors employed detect vertical groundreaction forces (vGRF)...

Growing plants in the gulf region can be challenging as it is mostly desert, and climate dry. A few species of have capability to grow such a climate. However, those are not suitable food source. The aim this work design construct an indoor automatic vertical hydroponic system that does depend on outside designed capable common type crops used source inside homes without need large space. was made after studying different types systems terms price, power consumption suitability built...

With the rapid advancement of technology, different biometric user authentication, and identification systems are emerging. Traditional like face, fingerprint, iris recognition, keystroke dynamics, etc. prone to cyber-attacks suffer from disadvantages. Electroencephalography (EEG) based authentication has shown promise in overcoming these limitations. However, EEG-based is less accurate due signal variability at psychological physiological conditions. On other hand, dynamics-based offers...

Surface electromyography (EMG) is one of the promising signals for recognition intended hand movement an amputee. Nevertheless, there are several barriers to its successful implementation in advanced prosthetic hand. Subject-dependent EMG pattern them, which limits use a training model specific subject others. So, this study aims explore invariant method that performed by extracting features. To extract features, we have created feature space using extraction method, and dimensionality...

Abstract: Electromyography gives an electrical representation of neuromuscular activation associated with a contracting muscle. The electromyography signal acquires noise while travelling though different media. wavelet transform is employed for removing from surface (SEMG) and higher order statistics are applied analysing the signal. With appropriate choice wavelet, it possible to remove interference (denoise) effectively in analyse SEMG. Daubechies wavelets (db2, db4, db5, db6, db8),...

This paper proposes an algorithm, called sequence prediction via enhanced episode discovery (SPEED), to predict inhabitant activity in smart homes. SPEED is a variant of the algorithm. It works with episodes home events that have been extracted based on -off states appliances. An set sequential user activities periodically occur The are processed and arranged finite-order Markov model. A method by partial matching (PPM) algorithm applied next from previous history. result shows achieves...

The integrated differential ring oscillator (DRO) in complementary metal oxide semiconductor (CMOS) technology has been used numerous products for a long time. Its presence extended to high-speed clock and data recovery (CDR) circuits optical communication, analog digitally controlled oscillators, frequency dividers of high-frequency synthesizers, generators digital circuits, analog-to-digital converters (ADCs), many more applications [1]-[5]. Implementations these oscillators are seen...

Respiratory ailments such as asthma, chronic obstructive pulmonary disease (COPD), pneumonia, and lung cancer are life-threatening. Respiration rate (RR) is a vital indicator of the wellness patient. Continuous monitoring RR can provide early indication thereby save lives. However, real-time continuous facility only available at intensive care unit (ICU) due to size cost equipment. Recent researches have proposed Photoplethysmogram (PPG) and/ Electrocardiogram (ECG) signals for estimation...