Diagnosing bearing faults of the induction motor is crucial for maintenance rotating electrical machines. Numerous methods have been developed and published monitoring classifying these using sensor data such as vibration, audio, current signals. Ideally, phases are balanced; however, disrupt this symmetry, causing each phase to reveal unique diagnostic details. Consequently, studies that rely on a single signal may not capture all fault-related characteristics. Research fault diagnosis two...

Objective The objective of this study was to develop and validate a noncontact monitoring system for respiratory rate variability in rats under anesthesia using 24GHz microwave radar sensor. This aimed address the need stress-free techniques that comply with 3Rs principle (Reduction, Replacement, Refinement) laboratory animal settings. Methods Utilizing sensor, detects subtle body surface displacements induced by movements anesthetized rats. setup includes 24.05 24.25 GHz module coupled...

Vital signs are objective indices of health status. Heart rate variability (HRV) is the physiological phenomenon variation in interval between consecutive heartbeats, which carries more information than respiration (RR) or heart (HR). Medical radar isa potential sensor for non-contact vital sign monitoring. However, this requires a complicated process HRV extraction. In study, was obtained as follows: The heartbeat component extracted from signal using locally projected noise reduction...

A non-contact bedside monitoring system using medical radar is expected to be applied clinical fields. Our previous studies have developed a based on for measuring respiratory rate (RR) and heart (HR). Heart variability (HRV), which essentially implemented in advanced system, such as prognosis prediction, more challenging biological information than the RR HR. In this study, we designed HRV measurement filter proposed method evaluate optimal cardiac signal extraction measurement. Because...

Medical radar for non-contact vital signs measurement exhibits great potential in both clinical and home healthcare settings. Especially during the corona virus spreading time, sensing more clearly shows advantages. Many previous studies have concentrated on medical radar-based applications, but pay less attention to working principles. A clear understanding of radars at mathematical physical levels is critically important developing application-specific signal processing algorithms....

Due to the new trend on non-contact monitoring of vital signs and cardiopulmonary activity, Doppler radar is getting more attention as a promising technology. This medical tracks small movements human's body-surface measure several parameters such heart rate respiration rate. However, because signals are susceptible body movement breathing effects, using simple signal processing methods can be challenging provide accurate results. In this study, we propose time-domain algorithm that combines...

Recent studies have mainly relied on radar technology for extracting crucial vital signs because of its ability to measure without physical contact. The focus deriving cardiac interbeat interval and heart rate variability has gained significance due complexity relevance in healthcare. Our investigation involved a detailed analysis continuous wave signals enhance the extraction chest wall movement data. Using convolution algorithm, we eliminated respiratory component from signal, while...

<title>Abstract</title> <bold>Objective: </bold>The objective of this study was to develop and validate a noncontactmonitoring system for respiratory rate variability in laboratory animals under anesthesia using 24GHz microwave radar sensor. This aimed address the need stress-free monitoring techniques that comply with 3Rs principle (Reduction, Replacement, Refinement) animal settings. <bold>Methods: </bold>Utilizing sensor, detects subtle body surface displacements induced by movements...

Abstract Background. Using radar for non-contact measuring human vital signs has garnered significant attention due to its undeniable benefits. However, achieving reasonably good accuracy in contactless measurement senarios is still a technical challenge. Materials and methods. The proposed method includes two stages. first stage involves the process of datasegmentation signal channel selection. In next phase, raw from chosen subjected modified Pan-Tompkins. Results. experimental findings...

This study conducted body shape research on 175 males aged 35–45 in Ho Chi Minh City, Vietnam. The aim was to develop accurate and intuitive analytical models classify different types. team utilized various statistical tools, such as descriptive analysis, principal component k-means clustering, discriminant analysis—all supported by SPSS software—to identify the most reasonable classifications. results identified 5 common shapes: U-shaped, Y-shaped, V-shaped, O-shaped, D-shaped. To enhance...

Sleep apnea syndrome is a prevalent condition among the elderly people that potentially dangerous and causes fatal complications. However, this often undiagnosed since most patients do not know they have because it only occurs during sleep. In study, we proposed non-contact sleep monitoring solution. The system used support vector machines (SVM) model with three classes classification. results give ratios of time durations, including normal sleeping time, body movement cessation breathing....

Owing to the Covid-19 epidemic, medical radar has become a potential non-contact method in patient monitoring. However, this type is sensitive external interference. The output signal obtained by when makes random body movements can significantly reduce accuracy of vital sign detection algorithms. In addition, algorithms should be developed for actual application. study, we present an improved model 24-GHz quality classification system and technique enhance resolution respiration rate (RR)...

With the increasing improvement of quality life (QOL), health has become an item concern. However, owing to Covid-19, most organizations cannot do annual check-ups because they require contact with people and it is difficult maintain social distance. Consequently, in era epidemics, non-contact methods are paramount. In this paper, we present a breathing heart rate measurement system integrated into application using 24 GHz medical radar support check work. system, solve problem imbalance...