There is growing attention and rapid development on flexible electronic devices with materials sensing technology innovations. In particular, strain sensors high elasticity stretchability are needed for several potential applications including human entertainment technology, human–machine interface, personal healthcare, sports performance monitoring, etc. This article presents recent advancements in the of polydimethylsiloxane (PDMS)-based resistive wearable applications. First all, shows...

The use of deep learning (DL) for the analysis and diagnosis biomedical health care problems has received unprecedented attention in last decade. technique recorded a number achievements unearthing meaningful features accomplishing tasks that were hitherto difficult to solve by other methods human experts. Currently, biological medical devices, treatment, applications are capable generating large volumes data form images, sounds, text, graphs, signals creating concept big data. innovation DL...

Abstract Microscale organisms and specialized motile cells use protein-based spring-like responsive structures to sense, grasp move. Rendering this biomechanical transduction functionality in an artificial micromachine for applications single-cell manipulations is challenging due the need a bio-applicable nanoscale spring system with large programmable strain response piconewton-scale forces. Here we present three-dimensional nanofabrication monolithic integration, based on acrylic elastomer...

Abstract Room-temperature liquid metal has been widely used in flexible and stretchable sensors, focusing on embedding microchannels, microdroplets formation, captive nanoparticles, etc. In this paper, a facile Eutectic Galium-Indium (EGaln) liquid-based microfluidic high-sensitivity, skin-mountable, ultra-soft sensor is developed. It comprises Ecoflex assembly filled with EGaln, which serves as the working fluid of sensor. The lithography method applied to achieve channel. channel optimized...

Nowadays, robust sensors for glucose sensing application is almost a necessity every diabetic individual. In this work, (20 mm x 10 mm) contact-based sensor has been successfully realized on thin and flexible polyamide substrate, with the area being bifilar spiral resonator (BSR). The proposed was based detecting resonance frequencies shifts at ultrahigh (UHF) as result of changes in concentration. BSR acts cascaded metasurface which, around resonant frequency, forms plasmon dispersion...

Autonomic nervous system (ANS) can maintain homeostasis through the coordination of different organs including heart. The change blood glucose (BG) level stimulate ANS, which will lead to variation Electrocardiogram (ECG). Considering that monitoring BG ranges is significant for diabetes care, in this paper, an ECG-based technique was proposed achieve non-invasive with three ranges: low level, moderate and high level. For purpose, multiple experiments included fasting tests oral tolerance...

The motor imagery brain–computer interface (MI-BCI) system is currently one of the most advanced rehabilitation technologies, and it can be used to restore function stroke patients. deep learning algorithms in MI-BCI require lots training samples, but electroencephalogram (EEG) data patients quite scarce. Therefore, expansion EEG has become an important part clinical research. In this paper, a convolution generative adversarial network (DCGAN) model proposed generate artificial further...

Respiratory monitoring is widely used in clinical and healthcare practice to detect abnormal cardiopulmonary function during ordinary routine activities. There are several approaches estimate respiratory rate, including accelerometer(s) worn on the torso that capable of sensing inclination changes due breathing. In this article, we present an adaptive band-pass filtering method combined with principal component analysis derive rate from three-dimensional acceleration data, using a body...

Heart rate variability (HRV) analysis has quantified the functioning of autonomic regulation heart and heart's ability to respond. However, majority studies on HRV report several differences between patients with congestive failure (CHF) healthy subjects, such as time-domain, frequency domain nonlinear measures. In paper, we mainly presented a new approach detect based combination support vector machine (SVM) three nonstandard measures (e.g. SUM_TD, SUM_FD SUM_IE). The CHF classification...

Despite the success and prospects of robotic catheter system for cardiovascular access, loss vision, haptics have limited its global adoption. A direct implication is great difficulty posed when trying to eliminate backlash in catheters during vascular cannulations. As a result, physicians patients end up been exposed high radiation long period time. Existing control systems proposed such interventional robots not fully consider hysteretic (backlash) behavior. In this study, novel designed...

Fifth generation (5G) technologies have become the center of attention in managing and monitoring high-speed transportation system effectively with intelligent self-adaptive sensing capabilities. Besides, boom portable devices has witnessed a huge breakthrough data driven vehicular platform. However, sensor-based Internet Things (IoT) are playing major role as edge nodes (ITS). Thus, due to high mobility/speed vehicles resource-constrained nature more packets will be lost power drain shorter...

Over the past few decades, tactile sensors have become an emerging field of research in both academia and industry. Recent advances demonstrated application area biomedical engineering opened up new opportunities for building multifunctional electronic skin (e‐skin) which is capable imitating human sense‐of‐touch medical purposes. Analyses shown that current smart sensing technology has advantages high performance, low‐cost, time efficiency, ease‐of‐fabrication. Tactile systems thus...

The internet of things (IoT) comprises various sensor nodes for monitoring physiological signals, instance, electrocardiogram (ECG), electroencephalogram (EEG), blood pressure, and temperature, etc., with emerging technologies such as Wi-Fi, Bluetooth cellular networks. IoT medical healthcare applications forms the (IoMT), which multiple resource-restricted wearable devices health due to heterogeneous technological trends. main challenge IoMT is energy drain battery charge consumption in...

change of blood glucose (BG) level stimulates the autonomic nervous system leading to variation in both human's electrocardiogram (ECG) and photoplethysmogram (PPG). In this article, we aimed construct a novel multimodal framework based on ECG PPG signal fusion establish universal BG monitoring model. This is proposed as spatiotemporal decision strategy that uses weight-based Choquet integral for monitoring. Specifically, performs three-level fusion. First, signals are collected coupled into...

Recent years have seen the rapid development of biosensor technology, system-on-chip design, wireless technology. and ubiquitous computing. When assembled into an autonomous body sensor network (BSN), technologies become powerful tools in well-being monitoring, medical diagnostics, personal connectivity. In this paper, we describe first demonstration a fully customized mixed-signal silicon chip that has most attributes required for use wearable or implantable BSN. Our intellectual-property...

The unintentional injuries due to falls in elderly people give rise a multitude of health and economic problems the growing aging population. use early pre-impact fall alarm self-protective control could greatly reduce injuries. This paper aimed explore implement recognition/alarm method for free-direction activities based on understanding lead time angle body postural stability using an inertial sensor network. Eight healthy Asian adult subjects were arranged perform three kinds daily...

Noninvasive blood glucose monitoring (NBGM) provides a promising solution for patients with diabetes the advantages of painless and continuous monitoring. To better characterize response to radio-frequency (RF) signals at low frequencies, conductivity relative permittivity aqueous solutions different concentrations were obtained by use an impedance analyzer in frequency range 1 kHz MHz. Furthermore, considering volume pulsation cardiac cycle, new approach based on measuring bioimpedance was...

Machine learning (ML) techniques in association to emerging sixth generation (6G) technologies, i.e., massive Internet of Things (IoT), big data analytics have caught too much attention from academia the business world since last few years due their high and fast computing capabilities. The role ML-based 6G is reshape imaginary idea into physical for resolving challenging issues energy, quality service (QoS), experience (QoE). Besides, ML with better reshapes industrial network box (NIB)...