Results 41 to 50 of about 64,157 (326)

DNA‑Directed Assembly of Photonic Nanomaterials for Diagnostic and Therapeutic Applications

Advanced Materials, EarlyView.
DNA‐directed assembly offers a powerful strategy for constructing structured photonic nanomaterials with precise spatial control. This review provides a comprehensive overview of recent advancements in DNA‐assembled photonic nanomaterials for diagnostics and therapeutics, highlighting key design principles, functionalization strategies, and optical ...
Longjiang Ding, Bing Liu, Andreas Peil, Sisi Fan, Jie Chao, Na Liu   +5 more
wiley   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source

Bioelectronic Sensors for Neuromuscular Perception in Human‐Machine Interfaces

Advanced Robotics Research, EarlyView.
This review summarizes recent advances in bioelectronic sensors for neuromuscular perception in human‐machine interfaces. By integrating biopotential, electrical impedance, and electrochemical sensing strategies with flexible electrode interfaces, these bioelectronic sensing systems enable intuitive, real‐time detection of muscle and nerve activity ...
Junwei Li, Bangyan Niu, Kunlin Wu, Jingcheng Xiao, Xiaoyan Liu, Yifan Wang   +5 more
wiley   +1 more source

Dual‐Working‐Pattern Nanosheet‐Based Hydrogel Sensors for Constructing Human‐Machine and Physiological‐Electric Interfaces

Advanced Science, EarlyView.
Hydrogels hold great potential as candidates for next‐generation epidermal electronics; however, an unresolved issue remains: the differentiation and selection of sensing modes in hydrogel sensors. This study integrates series‐parallel conductive nanosheet configurations into an ultra‐soft hydrogel, resulting in enhanced signal intensity and ...
Shitao Shi, Yuanyuan Wang, Zewei Ye, Hongxia Xie, Chencong Liu, Jiaqi Liao, Dawei Zhao, Qingfeng Sun, Julia L. Shamshina, Xiaoping Shen   +9 more
wiley   +1 more source

Enhanced Brain‐Heart Connectivity as a Precursor of Reduced State Anxiety after Therapeutic Virtual Reality Immersion

Advanced Science, EarlyView.
This study shows that enhanced brain‐to‐heart coupling is a precursor of anxiety reduction following a virtual reality‐based non‐pharmacological intervention. Driven by midline beta rhythms, this effect suggests the involvement of central‐autonomic interactions.
Idil Sezer, Paul Moreau, Mohamad El Sayed Hussein Jomaa, Valérie Godefroy, Bénédicte Batrancourt, Richard Lévy, Anton Filipchuk   +6 more
wiley   +1 more source

Transfer learning in ECG classification from human to horse using a novel parallel neural network architecture [PDF]

, 2020
Automatic or semi-automatic analysis of the equine electrocardiogram (eECG) is currently not possible because human or small animal ECG analysis software is unreliable due to a different ECG morphology in horses resulting from a different cardiac ...
Crevecoeur, Guillaume, van Loon, Gunther, Van Steenkiste, Glenn   +2 more
core   +1 more source

Machine Learning Approach to Predict Ventricular Fibrillation Based on QRS Complex Shape

Frontiers in Physiology, 2019
Early prediction of the occurrence of ventricular tachyarrhythmia (VTA) has a potential to save patients’ lives. VTA includes ventricular tachycardia (VT) and ventricular fibrillation (VF).
Getu Tadele Taye, Eun Bo Shim, Han-Jeong Hwang, Ki Moo Lim   +3 more
doaj   +1 more source

Computer Aided ECG Analysis - State of the Art and Upcoming Challenges

, 2013
In this paper we present current achievements in computer aided ECG analysis and their applicability in real world medical diagnosis process. Most of the current work is covering problems of removing noise, detecting heartbeats and rhythm-based analysis.
Car, Sinisa, Padavic, Ivan, Velic, Marko
core   +1 more source

Topographical Patterning of Cell‐Repellent Interfaces for Immune‐Stealth Implantable Electronics via Multiphoton Ablation Lithography

Advanced Science, EarlyView.
Immune‐stealth implantable electronics are developed using cell‐repellent interfaces created by multiphoton ablation lithography, which is the first research applying topographical cues on electronic devices. Laser‐patterned micro‐grooves and nano‐islands on ultrathin films can reduce immune cell adhesion to as low as 5%.
Hyunseon Seo, Gwan‐Jin Ko, Sangmin Song, Joong Hoon Lee, Youngmin Seo, Sungkeun Han, Chan‐Hwi Eom, Hyewon Kim, Seongsoo Kim, Kang‐Sik Lee, Yu‐Chan Kim, Hojun Kim, Si‐Eun Moon, Kyungwoo Lee, Seung Hwan Ko, Suk‐Won Hwang, Hojeong Jeon   +16 more
wiley   +1 more source

Abnormal ECG Findings in Athletes: Clinical Evaluation and Considerations. [PDF]

, 2019
PURPOSE OF REVIEW: Pre-participation cardiovascular evaluation with electrocardiography is normal practice for most sporting bodies. Awareness about sudden cardiac death in athletes and recognizing how screening can help identify vulnerable athletes have
A Biffi, A Biffi, A D’Silva, A D’Silva, A Magalski, A Malhotra, A Malhotra, A Malhotra, A Merghani, A Morshedi-Meibodi, A Pelliccia, A Pelliccia, A Zaidi, A Zaidi, A Zorzi, A Zorzi, A Zorzi, AD Desai, AL Aro, AL Rao, AO Usoro, BJ Maron, BJ Maron, C Antzelevitch, C Calore, C Daubert, C Miles, D Corrado, D Corrado, D Corrado, D Corrado, F D’Ascenzi, F Migliore, F Schnell, FI Marcus, G Finocchiaro, G Malfatto, G Mcclean, GJ Klein, GJ Klein, H Dhutia, H Morita, HUH Virk, J Basu, J Ehtisham, J Marek, J Novak, J Pei, J Steinfurt, JA Drezner, JA Drezner, KG Harmon, KM Park, L Calò, L Verdile, M Brosnan, M Papadakis, M Papadakis, M Sadron Blaye-Felice, MAE Haukilahti, Mark Abela, MG Wilson, MI Cohen, MJ Ackerman, MJ Brosnan, N Chandra, N Panhuyzen-goedkoop, N Sheikh, P Banankhah, PG Postema, PT Matusik, RE Bent, RE Eckart, S Gati, S Kapa, S Masrur, S Peters, S Sharma, S Viskin, Sanjay Sharma, SEE Page, T Senturk, X Li, YH Lee   +83 more
core   +1 more source