Millimeter Wave(mmWave) radar has been widely used in vital sign monitoring with non-contact and privacy protection. To reduce the effect of random body motion, respiration, its harmonics on heart rate estimation, based frequency-modulated continuous-wave (FMCW) is researched this paper. First, a signal extraction algorithm designed for Range Bin variation caused by motion heavy breathing. Second, heartbeat Adaptive Notch Filter (ANF) Empirical Wavelet Transform (EWT). The harmonic...

Background In contrast to the large and increasing number of patients with stroke, clinical rehabilitation resources cannot meet their needs. Especially for those discharged, ways carry out effective training without supervision physicians receive guidance from remain urgent problems be solved in have become a research hot spot at home abroad. At present, there are many studies on based wearable devices, Kinect, among others, but these disadvantages (eg, complex systems, high price,...

Background/Objectives: With the advancement of intelligent sensing technology, rehabilitation systems based on wearable devices have a positive impact functional recovery and quality life stroke patients. This study aims to evaluate application value contextualized training system for survivors, which is devices, in motor function impairments following stroke. Methods: A randomized controlled trial design was employed, 100 patients were randomly divided into control group (n = 50, receiving...

Rehabilitation training and movement evaluation after stroke have become a research hotspot as has very common harmful disease. However, traditional rehabilitation are mainly conducted under the guidance of doctors. The process is time-consuming results greatly influenced by In this study, desktop upper limb robot was designed quantitative system motor function for patients proposed. kinematics dynamics data during active were collected sensors. Combined with scores patients' doctors using...

A simple, objective and quantitative unsupervised outcome measure is considered vital in the home-based rehabilitation for stroke patients. The Fugl-Meyer Assessment (FMA) scale widely utilized clinical practice, while not suitable home settings due to its subjective time-consuming property. In this paper, a Support Vector Regression (SVR) based evaluation model was presented automatically estimate FMA scores Shoulder-Elbow movement. estimation obtained by analyzing accelerometer data...

Clinical rehabilitation assessment is an important part of the therapy process because it premise for prescribing suitable interventions. However, commonly used scales have following two drawbacks: (1) they are susceptible to subjective factors; (2) only several rating levels and influenced by a ceiling effect, making impossible exactly detect any further improvement in movement. Meanwhile, energy constraints primary design consideration wearable sensor network systems since often...

In order to solve the shortcomings of current clinical scale assessment for stroke patients, such as excessive time consumption, strong subjectivity, and coarse grading, this study designed an intelligent rehabilitation system based on wearable devices a machine learning algorithm explored effectiveness in assessing patients’ outcomes. The accuracy were verified by comparing consistency between scores Fugl–Meyer (FMA) scores. A total 120 patients from two hospitals participated volunteers...

The deformation and failure of overburden has been a major challenging issue in the prevention geological disasters mines. In this study, Brillouin optical time-domain reflectometry is introduced to detect failure. To use technique, several boreholes are drilled top coal seam laneway, cables arranged form two-dimensional measurement cross section. During different periods throughout mining process, strain characteristics can be collected dynamically analyzed study mining-induced changes...

Motor function evaluation is a significant part of post-stroke rehabilitation protocols, and the wrist motor helps provide patients with individualized training programs. However, traditional assessment coarsely graded, lacks quantitative analysis, relies heavily on clinical experience. In order to objectively quantify dysfunction in stroke patients, novel system based force feedback machine learning algorithm was proposed. Sensors embedded force-feedback robot record kinematic movement data...

Abstract Objective : The pulmonary function test is an effort-dependent test; however, during acute exacerbation of chronic obstructive disease (AECOPD), patients are unable to effectively cooperate due poor health. present study aimed establish prediction models that only require demographic and inflammatory parameters predict indexes: forced expiratory volume in one second (FEV 1 ) vital capacity (FVC). Approach goal was based on multi-output support vector regression. A total 143 subjects...

To meet the need of real-time remote monitoring human body surface temperature for optical rehabilitation therapy, a non-contact high-precision measurement method based on distance compensation was proposed, and system design carried out. The microcontroller controls infrared module laser range to collect data. formula with wass fitted according least square method. Testing had been performed different individuals verify accuracy system. results indicate that designed has residual error less...

As light-emitting diodes (LEDs) become dominating solutions in general lighting, their applications are also penetrating into biomedical engineering, especially light therapies. These new usually require much higher power density at a shorter working distance than lighting. Besides the high power, uniformity distribution is another important factor such to illuminate samples with equal irradiance. factors designing compact optical system transmit from highly integrated high-power LED source....

In order to monitor the rehabilitation training of stroke patients in unsupervised situation and provide advice for clinicians, a wireless upper limb motion recognition system has been developed using tilt sensors, identify complex movements such as flexion extension elbow, elbow touch head, from patient's program. 18 different program were adopted verify validate this with 12 them group 6 testing group. After preprocessing feature extraction acquired data, Support Vector Machine (SVM)...

Coal seams have beddings and fissures are typically anisotropic media. Current channel wave theories mainly based on isotropic media, few studies exist the dispersion characteristics of Rayleigh waves in models, such as transversely (TI) We chose generalized reflection-transmission coefficient method to solve curves TI However, it is difficult associated equations using this directly. Therefore, we extended determined improved accuracy through numerical simulation. analyzed several typical...

The World Health Organization has projected that by 2030, chronic obstructive pulmonary disease (COPD) will be the third-leading cause of mortality and seventh-leading morbidity worldwide.[1] Acute exacerbations (AECOPD) are associated with an accelerated decline in lung function, diminished quality life, higher mortality.[2] Accurate early detection AECOPD contributes to better management reduction, recent past there been great progress development application machine learning (ML), which...

During the process of mine production, many geological factors exist in coal seam and bring influence on safety, such as fault structure, fracture zone, collapse column, so on. It is main performance to reduce digging efficiency affect safety during production roadway excavation face mining. According difference dielectric constant between rock, exploration forecast about structure can be done through method ground penetrating radar. Combining with detection engineering practices field...