Wearable electronics presage a future in which healthcare monitoring and rehabilitation are enabled beyond the limitation of hospitals, self-powered sensors energy generators key prerequisites for self-sustainable wearable system. A triboelectric nanogenerator (TENG) based on textiles can be an optimal option scavenging low-frequency irregular waste from body motions as power source systems. However, low output most textile-based TENGs (T-TENGs) has hindered its way toward practical...

Muscle function loss can result from multiple nervous system diseases including spinal cord injury (SCI), stroke, and sclerosis (MS). Electrical muscle stimulation is clinically employed for rehabilitative therapeutic purpose typically requires mA-level current. Here, we report electrical stimulation, which directly powered by a stacked-layer triboelectric nanogenerator (TENG) through flexible multiple-channel intramuscular electrode. This electrode allows mapping of motoneurons that...

Abstract Muscle function loss is characterized as abnormal or completely lost muscle capabilities, and it can result from neurological disorders nerve injuries. The currently available clinical treatment to electrically stimulate the diseased muscles. Here, a self‐powered system of stacked‐layer triboelectric nanogenerator (TENG) multiple‐channel epimysial electrode directly muscles demonstrated. Then, two challenges regarding direct TENG stimulation are further investigated. For first...

A novel flexible neural ribbon electrode with a self-adaptive feature is successfully implemented for various small nerves recording. As interface, the selective recording capability characterized by having reliable signal acquisitions from sciatic nerve and its branches such as peroneal nerve, tibial sural nerve. service to our authors readers, this journal provides supporting information supplied authors. Such materials are peer reviewed may be re-organized online delivery, but not...

Abstract Neural modulation technology and the capability to affect organ function have spawned new field of bioelectronic medicine. Therapeutic interventions depend on wireless neural interfaces that can conformally easily attach small (few hundred micrometers) nerves located deep in body without damage. Besides size, factors like flexibility compliance adapt visceral associated moving organs are paramount importance not been previously addressed. This study proposes a novel flexible clip...

We demonstrate a new CMOS compatible metal–dielectric–metal (Mo–AlN–Mo) platform of metamaterial absorber for refractory and narrowband applications at mid-IR. Comparison with the recently reported plasmonic TiN shows superior reflectivity Mo thin film mid-IR wavelengths (3–8 μm), while AlN provides large thermal stability conductivity, mid- to far-IR transparency both second third order nonlinear effect satisfies matching condition expansion coefficient toward minimizing stress....

Neural electrodes are developed for direct communication with neural tissues theranostics. Although various strategies have been employed to improve performance, creating an intimate electrode–tissue interface high electrical fidelity remains a great challenge. Here, we report the rational design of tunnel-like electrode coating comprising poly(3,4-ethylenedioxythiophene) (PEDOT) and carbon nanotubes (CNTs) highly sensitive recording. The coated shows 50-fold reduction in electrochemical...

Three-dimensional point cloud semantic segmentation is a fundamental task in computer vision. As the fully supervised approaches suffer from generalization issue with limited data, few-shot models have been proposed to address flexible adaptation. Nevertheless, due class-agnostic nature of pretraining, its pretrained feature extractor hard capture class-related intrinsic and abstract information. Therefore, we introduce new concept shallow deep similarities propose shallow-deep similarity...

Artificial sensors on the skin are proposed as a way to capture information that can be used in intracortical microstimulation or peripheral intraneural stimulation restore sensory feedback persons with tetraplegia. However, ability of these artificial replicate density and complexity natural mechanoreceptors is limited. One relatively unexplored approach make use signals from surviving tactile proprioceptive receptors existing limbs by recording their transmitting axons within primary...

Selective stimulation is delivered to the sciatic nerve using different paris of contacts on a split-ring electrode, while simulatneous recordings are acquired by neural ribbon electrodes three branches. Two hook also implanted in muscle monitor activated responses. It shows that high precision implantation electrodes, increases efficacy and reduces incidence side effects. Flexible biomedical devices currently become popular since they promising direct contact with delicate soft tissues...

The prediction of the Remaining Useful Lifetime (RUL) machines and tools is crucial in realm modern manufacturing framework Industry 4.0. Recent deep learning techniques offer an opportunity for utilization data-driven methods RUL prediction. However, persistent data scarcity issue presents a thorny bottleneck machinery tasks due to high cost labeled training collection. In this paper, we propose effective consisting two novel methodological modules improve efficiency. first module leverage...

Starting from the inductance in neurons, two physical origins are discussed, which coil of myelin and piezoelectric effect cell membrane. The direct evidence is opposite spiraling phenomenon between adjacent sheaths confirmed by previous studies. As for membrane, has been well-known physics, mechanical wave accompany with action potential. Therefore, a more complete nature neural signals provided. In conventional neuroscience, signal pure electrical signal. our new theory, an energy pulse...

Abstract Wearable and implantable devices are irreplaceable components in the modern healthcare system. Electrical stimulation on nervous neuromuscular system, as a way of therapeutic interventions, has been widely applied to people with neurological disorders disabilities. The conventional study electrical skeletal muscle employs single‐channel wire electrodes, which have limited capability explore complicated motoneuron distribution tissue. Here, microfabricated flexible multiple‐channel...

Prediction of Remaining Useful Lifetime (RUL) in the modern manufacturing and automation workplace for machines tools is essential Industry 4.0. This clearly evident as continuous tool wear, or worse, sudden machine breakdown, will lead to various failures which would cause economic loss. With availability deep learning approaches, great potential prospect utilizing these RUL prediction have resulted several models are designed (for prediction) driven by operation data machines. Current...

This paper presents an effective few-shot point cloud semantic segmentation approach for real-world applications. Existing methods on heavily rely the fully-supervised pretrain with large annotated datasets, which causes learned feature extraction bias to those pretrained classes. However, as purpose of learning is handle unknown/unseen classes, such class-specific in not ideal generalize into new classes learning. Moreover, datasets hardly have a number due annotation difficulty. To address...

One of the most commonly used techniques in aerospace engineering is RANS (Reynolds average Navier–Stokes) approach for calculating transonic compressor flow field, where accuracy computation significantly affected by turbulence model used. In this work, we use SA, SST, k-ɛ, and PAFV developed based on side-biased mean fluctuations velocity strain rate tensor to numerically simulate NASA Rotor 67 evaluate modeling numerical calculations compressors. The simulation results demonstrate that...

Electrical excitation of neural tissue has wide applications, but how electrical stimulation interacts with remains to be elucidated. Here, we propose a new theory, named the Circuit-Probability reveal this physical interaction happen. The relation between input and response can theoretically calculated. We show that many empirical models, including strength-duration relationship linear-non-linear-Poisson model, explained, derived, amended using our theory. Furthermore, theory explain...

The condition monitoring technology and fault diagnosis of mechanical equipment played an important role in the modern engineering. Rolling bearing is most common component which sustains transfers load. Therefore, rolling bearings has great significance. Fractal theory provides effective method to describe complexity irregularity vibration signals bearings. In this paper a novel multifractal approach based on time-frequency domain was proposed. numerical algorithm Multi-fractal analysis...