In this letter, we propose that the joint motion of a human worker doing repetitive work could be predicted using time series model. With capture system, elbow rotation data are collected and used to fit an autoregressive An online parameter adaptation algorithm is employed update model parameters in real time. A safety index with distance factor defined describe level during physical human-robot interaction. optimization problem formulated generate collision-free trajectory for manipulator...

It is evident that voluntary effort plays a crucial role in electrical stimulation rehabilitation, facilitating neuroplasticity enhancement patients with neurological disorders. In this paper, we present multichannel system designed for simultaneous functional (FES) and volitional EMG (vEMG) acquisition using shared electrodes. The employs hardware blanking electrodes shorting to suppress artifacts accelerate residual charge dissipation. Additionally, adapt the Savitzky-Golay filter extract...

While neuroplasticity and functional reorganization during motor recovery can be indirectly reflected evaluated by corticomuscular coupling (fCMC), little work has been published regarding the cortical origin of abnormal muscle synergy compensatory mechanism in separation movement stroke patients.

Cortical-muscular functional coupling reflects the interaction between cerebral cortex and muscle activities. Corticomuscular coherence (CMC) has been extensively revealed in sustained contractions of various upper- lower-limb muscles during static dynamic force outputs. However, it is not well-understood that CMC modulation mechanisms, i.e., relation a hemisphere motor controlling limbs at constant speeds, such as isokinetic movement. In this paper, we explore upper arm flexors/extensors...

Thoracic aortic dissection (TAD) is a life-threatening disease caused by an intimal tear in the aorta. The histological characteristics differ significantly between area (TA) and distant area. Previous studies have emphasized that certain specific genes tend to cluster at TA. Obtaining thorough understanding of precise molecular signatures near TA will assist discovering therapeutic strategies for TAD.We performed paired comparison pathological patterns with remote (RA). We used Tomo-seq,...

Abstract Aging is a global challenge, marked in the lungs by function decline and structural disorders, which affects health of elderly population. To explore anti-aging strategies, we develop dynamic atlas covering 45 cell types human lungs, spanning from embryonic development to aging. We aim apply discoveries lung’s address aging-related issues. observe that both epithelial immune cells undergo process acquisition loss essential as they transition During aging, identify cellular...

In certain neurological disorders such as stroke, the impairment of upper limb function significantly impacts daily life quality and necessitates enhanced control. This poses a formidable challenge in realm rehabilitation due to its intricate nature. Moreover, plasticity muscle synergy proves advantageous assessing enhancement motor among stroke patients pre post training intervention, owing modular control strategy central nervous system. It also facilitates investigation long-term...

Corticomuscular coupling reflects nonlinear interactions and multi-layer neural information transmission between the motor cortex effector muscle in sensorimotor system. Transfer spectral entropy (TSE) method has been used to describe corticomuscular within single scale. As an extension of TSE, multiscale transfer (MSTSE) is proposed this paper depict two signals. The reliability effectiveness MSTSE were verified on data generated by numerical models those a force tracking task. Compared...

Surface electromyography (sEMG) and A-mode ultrasound (AUS) are two widely employed sensing modalities to detect muscle activities. By comparison, AUS modality shows the characteristics of higher decoding accuracy than sEMG modality. However, is far less reliable in actual long-term use. To resolve this contradiction, we considered leveraging as a teacher supervise training better learning an augmented representation. Firstly, novel network architecture MINDS (MultI-branch Network with...

The muscle synergy hypothesis assumes that the nervous system controls muscles in groups to simplify behavioral tasks, which makes it possible for modularizing motor function assessment. This paper presents a new assessment method based on space (MSS) model evaluate functions after stroke. It consists of spatiotemporal feature module, activation module and focuses spatial temporal characteristics synergies via vectors coefficients. We further applied this reveal difference between healthy...

This paper describes the systems we submitted to task 3 (Community Question Answering) in SemEval 2017 which contains three subtasks on English corpora, i.e., subtask A: Question-Comment Similarity, B: Question-Question and C: Question-External Comment Similarity. For A, combined two different methods represent question-comment pair, supervised model using traditional features Convolutional Neural Network. B, utilized information of snippets returned from Search Engine with question subject...

The hypothesis of muscle synergy has been dominantly accepted in research due to the evidence being well investigated its existence multiple disciplines, such as health science. Motor function assessment using provides a quantitative approach from physiological features muscles. Given coordinating muscles natural motion, this article proposes surface electromyography (sEMG)-driven metric measure consistency patterns upper limb motor functions. metric-based algorithm primarily comprises three...

Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia, and it significantly increases risk of cardiovascular complications morbidity, even with appropriate treatment. Tissue remodeling has been a significant topic, while its systematic transcriptional signature remains unclear in AF. Our study aims to systematically investigate molecular characteristics AF at cellular-level. We conducted single-nuclei RNA-sequencig (snRNA-seq) analysis using nuclei isolated from left atrial...

Brain networks allow a topological understanding into the pathophysiology of stroke-induced motor deficits, and have been an influential tool for investigating brain functions. Unfortunately, currently applied methods generally lack in recognition dynamic changes cortical related to muscle activity, which is crucial clarify alterations cooperative working patterns control system after stroke. In this study, we integrate corticomuscular intermuscular interactions cortico-cortical network...

Abstract Objective . Transcranial magnetic stimulation (TMS) is an experimental therapy for promoting motor recovery from hemiparesis. At present, hemiparesis patients’ responses to TMS are variable. To maximize its therapeutic potential, we need approach that relates the electrophysiology of and TMS. this end, propose corticomuscular network (CMN) representing holistic system, including cortico-cortical pathway, corticospinal tract, muscle co-activation. Approach CMN made up coherence...

Ischemia reperfusion injury (IRI), often related to surgical procedures, is one of the important causes acute kidney (AKI). To decipher dynamic process AKI caused by IRI (with prolonged ischemia phase), we performed single-cell RNA sequencing (scRNA-seq) clinically relevant murine model with different ischemic intervals. We discovered that Slc5a2hi proximal tubular cells were susceptible and highly expressed neutral amino acid transporter gene Slc6a19, which was dramatically decreased over...

It is evident that the state of art in multi-sensory hand gesture recognition indicates superior performance A-mode ultrasound (AUS) modality over its counterparts. Nevertheless, practical implementation AUS-based real-life scenarios impeded by susceptibility to muscle fatigue, thereby limiting long-term applicability. Therefore, it crucial explore role fatigue stability AUS based human machine interface. Endowing model with adaptability dynamic could potentially offer a viable solution this...

Corticomuscular coupling (CMC) refers to the interaction between neural activity in cerebral cortex (especially motor cortex) and muscle activity, is an effective method for investigating mechanisms of control. Achieving robust CMC analysis depends significantly on fidelity electroencephalogram (EEG) electromyogram (EMG) signals, as well their precise synchronization. There a lack integrated EEG EMG acquisition systems with high synchronization accuracy dedicated CMC. This article proposes...

Motion estimation plays an important role in motor coordination exploration and optimal control of human-machine interaction. Muscular strength training, such as isokinetic exercise, aims to improve one's muscular endurance with adjustable resistance at a constant speed. To explore motion muscle coordination, this paper proposes sEMG based musculoskeletal model estimate joint angle trajectory elbow exercise build the relationship between surface-Electromyography (sEMG) its related movement....

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Objective</i> : While the corticomuscularcoupling between motor cortex and muscle tissue has received considerable attention, which is typically quantitative measure to evaluate neural signals synchronization in control system, little work been published regarding effect of underlying delay two coupled physiological on coherence. xmlns:xlink="http://www.w3.org/1999/xlink">Methods</i> In this...

Post-stroke transcranial magnetic stimulation (TMS) has gradually become a brain intervention to assist patients in the recovery of motor function. The long lasting regulatory TMS may involve coupling changes between cortex and muscles. However, effects multi-day on after stroke is unclear.This study proposed quantify three-week activity muscles movement performance based generalized cortico-muscular-cortical network (gCMCN). gCMCN-based features were further extracted combined with partial...

This paper describes the system we submitted to Task 11 in SemEval 2018, i.e., Machine Comprehension using Commonsense Knowledge. Given a passage and some questions that each have two candidate answers, this task requires participate select out one answer meet meaning of original text or commonsense knowledge from answers. For task, use deep learning method obtain final predict by calculating relevance choices representations question-aware document representation.