This paper introduces a novel MRI digital filter that incorporates patch-based non-local means (NLM) and principal component analysis (PCA) to boost noise cancellation signal preservation in images. The suggested technique increases robustness by leveraging Pre-denoised circular stable mean (PCS-NLM) consider patches while utilizing PCA for dimensionality minimization separation. To further improve the filtering process, particle swarm optimization (PSO) is applied optimize key parameters,...

Accurate and efficient ECG signal classification plays a vital role in ensuring prompt diagnosis effective management of cardiac conditions. This research proposes novel hybrid framework that incorporates the Wavelet Packet Transform (WPT), Modified Convolutional Neural Network (CNN), Multi-Branch Transformer to overcome challenges related noise resilience, computational efficiency, adaptability analysis. The model’s performance was validated using both MIT-BIH database private clinical...

This study investigated structure strategies and exploratory scenarios for a half mode substrate integrated waveguide (HMSIW) antenna. The proposed antenna consists of three Hilbert cells, which are simulated by using CST programming. was manufactured with the realities minor imperfections high incorporation. offers suitable (SIW) about decrease in size half. In addition, cells were added to realize triple-band characteristics good impedance matching, radiation patterns, performance....

Three-dimensional (3D) modeling of objects play an important role in quality assurance, re-engineering object, and mapping interior design for measurements. Hence, this field proves to be one the hot research topics robotics. Although, using laser scanner is most common method 3D point cloud, camera-based methods are also introduced field. In paper, we propose analyze two making cloud any given object. First structure from motion technique secondly scanner-based cloud. The result shows that...

Detecting the PQRST waves of electrocardiogram (ECG) signals is an important method for diagnosing cardiac illness. Atrial Fibrillation (AF) irregular heart rhythm that can lead to failure. Therefore, accurate detection AF a very crucial task. This paper introduces efficient and real-time framework ECG recorded using wearable devices. The presented includes acquisition unit, Digital Signal Processing (DSP), extraction fiducial points. suggested approach attained following percentage average...

Abstract This paper introduces an efficient wavelet thresholding strategy and robust shrinkage approach (WTS) for de‐noising the ECG signals. The optimal mother signal is automatically selected based on cross‐correlation energy‐to‐entropy indices. A dynamic threshold applied to various levels of decomposition eliminate different types noise. suggested attain seamless on–off transitions. achievement WTS compared with state art reported in literature using 180 real signals collected from 60...

Abstract In this paper, a simulation model and practical testbed for green Internet of Things (IoT) edge devices are proposed based on solar harvester with constant voltage-maximum power point tracking (CV-MPPT) technique. Billions connected represent the essential part IoT through IP-enabled sensor networks IPv6 over Low Wireless Personal Area Network (6LoWPAN). traditional devices, stored energy in non-rechargeable battery determines node lifetime while it is being depleted time....

In this study, a performance analysis of several ECG compression schemes is introduced to discover the best algorithm for compressing signals. The main target these signals minimize their volume and thus decrease expense saving sending. Different records from MIT-BIH are used in work testing purposes, various methods offered task: Discrete Cosine Transform (DCT), Fast Fourier (FFT), Wavelet Transforms (DWT), Packet (DWPT) Wave Atom (DWAT). achievement aforementioned techniques quantified...

Determining the optimal integration between features and classifiers has a significant effect on performance of automatic heartbeat diagnostic systems. This importance stands out when dealing with critical applications that contain limited resources devices require accurate fast to help doctor make an quick diagnosis heart diseases. Aiming at this task, paper introduces novel approach for choosing ECG signal be used Random Forest (RF) classifier following inter-patient method signals...

Heart rhythm abnormalities diagnosis or classification via electrocardiogram (ECG) in the field of signal processing is regarded as a challenging problem. Classifying ECG signals under rules "Association for Advancement Medical Instrumentation (AAMI)" and inter-patient scheme increases difficulty challenge. AAMI classifies into following categories: N, S, V, F, Q. The S category difficult to detect since its shape pattern like N category. To overcome these challenges, this study proposes...

Heartbeat disorders are considered one of the main maladies that cause mortality. Therefore, their precocious diagnosis via ECG signal is critical for introducing prompt therapy. The advanced automatic classification signals has potential to save cardiologists a tremendous amount time while simultaneously decreasing chance misdiagnosis. dilemma massive parameters troubling current methods classification. Most recent exhibit inadequate performance diagnosing in inter-patient mode. In an...

Non Local Mean (NLM) filter has attracted great attention within the images and signal processing field especially in last ten years. The main contribution of this paper to biomedical signals is introducing straightforward application fast NLM EEG contaminated with "Additive White Gaussian Noise" (AWGN). performance analysed by evaluating its optimal parameters. All tests are conducted using actual captured from human brain. determined "Output Signal Noise Ratio" (SNRo) "Cross Correlation"...

This paper presents the prototype of a smart goalkeeper that defends goals. The developed solution is ideal for training football players. Color tracking used with synchronization servo motors and computer vision to detect football. mathematical calculations performed are linked positioning mark position goalkeeper. perfect players while hitting robot goalkeeper, through its accurate observations, will be adequate up date in putting every effort save goal. limits goal defined concerning size...

This paper introduces an efficient and robust method for heartbeat detection based on the calculated angles between successive samples of electrocardiogram (ECG) signal. The proposed approach involves three stages: filtering, computing signal thresholding. suggested is applied to two different types ECG databases (QTDB MIT-BIH). results were compared with other algorithms in previous works. outperformed algorithms, spite its simplicity their fast calculations. These features make it...

Analyzing big data amount and the limitation of storage devices rate is one most critical issues in processing transferring. In this research, essential approaches for image compression proposed. Singular value decomposition (SVD) a highly effective mathematic technique which used reduction process applied to redundant order minimize required space or transferring channel. The main idea work divided into two phases. first phase explained computational steps approach detailed while second...

An Electroencephalogram (EEG) is produced as a consequence of the electrical voltage neurons in brain. The EEG signal crucial for detecting brain activity and attitude. Because this has very low amplitude, it easily corrupted by different artefacts. study analysis signals presence these artifacts challenging task. ECG, EOG, EMG, motion are popular that induce disturbance to signal. This survey paper emphasizes artifact elimination methods with their substantial parameters must be considered...