Results 61 to 70 of about 9,707 (246)

The Role of Ionic Liquids at the Biological Interfaces in Bioelectronics

Advanced Science, EarlyView.
Ionic liquids (ILs) are highlighted as key artificial ionic materials that bridge biological ion‐based signaling and electronic devices. By understanding their composition, structure, function relationships, and mechanisms, ILs can advance from high performance electrolyte to core materials enabling integrated, multifunctional bioelectronics for ...
Yeong‐sinn Ye, Young Jin Jo, Ji Yeon Oh, Ju Yeon Jeong, Lili Guo, Tae‐il Kim   +5 more
wiley   +1 more source

Order statistics correlation coefficient as a novel association measurement with applications to biosignal analysis [PDF]

, 2007
In this paper, we propose a novel correlation coefficient based on order statistics and rearrangement inequality. The proposed coefficient represents a compromise between the Pearson's linear coefficient and the two rank-based coefficients, namely ...
Chang, C, Fung, PCW, Hung, YS, Kwan, SK, Xu, W   +4 more
core   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier

, 2018
EMG-based gesture recognition shows promise for human-machine interaction. Systems are often afflicted by signal and electrode variability which degrades performance over time. We present an end-to-end system combating this variability using a large-area,
Arias, Ana C., Benatti, Simone, Benini, Luca, Burghardt, Fred, Khan, Yasser, Menon, Alisha, Moin, Ali, Rabaey, Jan M., Rahimi, Abbas, Tamakloe, Senam, Ting, Jonathan, Yamamoto, Natasha, Zhou, Andy   +12 more
core   +1 more source

A Sub-μVRms Chopper Front-End for ECoG Recording [PDF]

, 2019
This paper presents a low-noise, low-power fully differential chopper-modulated front-end circuit intended for ECoG signal recording. Among other features, it uses a subthreshold source-follower biquad in the forward path to reduce noise and avoid the ...
Delgado Restituto, Manuel, Pérez Prieto, Norberto, Rodríguez Vázquez, Ángel Benito, Valtierra, José Luis   +3 more
core   +1 more source

Bioinspired Hierarchical Architecture with Water Transport Channels for Strong Adhesion at the Sweating Interface

Advanced Science, EarlyView.
To address adhesion failure in sweaty epidermal electronics, this study proposes a cross‐species, multi‐scale biomimetic interface. By modeling staged wet adhesion, it integrates self‐regulating liquid bridges with directional drainage. This design ensures stable, high‐performance flexible sensing in complex physiological environments, offering a ...
Jieliang Zhao, Yu Xiang, Heng Wang, Huiqing Xu, Zhong Liu, Lulu Liang, Fengwen Jiang, Xuemei Chen, Wenzhong Wang, Chenqing Liu, Guodong Liu, Shaoze Yan, Xu Hou   +12 more
wiley   +1 more source

Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring

Advanced Science, EarlyView.
This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen, Haoyu Wang, Guixin Xu, Yuqin Yuan, Xinmeng Cai, Zhengwu Wei, Dongheng Zhang, Qibin Sun, Tianwei Zhang, Cuntai Guan, Yan Chen   +10 more
wiley   +1 more source

Characterization of High-Gamma Activity in Electrocorticographic Signals

Frontiers in Neuroscience, 2023
IntroductionElectrocorticographic (ECoG) high-gamma activity (HGA) is a widely recognized and robust neural correlate of cognition and behavior. However, fundamental signal properties of HGA, such as the high-gamma frequency band or temporal dynamics of ...
Johannes Gruenwald, Johannes Gruenwald, Sebastian Sieghartsleitner, Sebastian Sieghartsleitner, Christoph Kapeller, Josef Scharinger, Kyousuke Kamada, Kyousuke Kamada, Peter Brunner, Peter Brunner, Christoph Guger   +10 more
doaj   +1 more source

Data-driven multivariate and multiscale methods for brain computer interface [PDF]

, 2012
This thesis focuses on the development of data-driven multivariate and multiscale methods for brain computer interface (BCI) systems. The electroencephalogram (EEG), the most convenient means to measure neurophysiological activity due to its ...
Park, Cheolsoo, Park, Cheolsoo
core   +1 more source

Individual stability of single-channel EEG measures over one year in healthy adults

Scientific Reports
The clinical applicability of electroencephalography (EEG) relies on the reliability and temporal stability of its measures. While the reliability of linear EEG measures is well established, the long-term stability of both linear and nonlinear measures ...
Tuuli Uudeberg, Laura Päeske, Hiie Hinrikus, Jaanus Lass, Toomas Põld, Maie Bachmann   +5 more
doaj   +1 more source