Results 41 to 50 of about 82,501 (186)

Cross-Modal Data Programming Enables Rapid Medical Machine Learning

, 2019
Labeling training datasets has become a key barrier to building medical machine learning models. One strategy is to generate training labels programmatically, for example by applying natural language processing pipelines to text reports associated with ...
Dunnmon, Jared, Goldman, Roger, Khandwala, Nishith, Lee-Messer, Christopher, Lungren, Matthew, Markert, Matthew, Ratner, Alexander, Rubin, Daniel, Ré, Christopher, Saab, Khaled, Sagreiya, Hersh   +10 more
core   +1 more source

A Dual‐Modal Wearable Pulse Detection System Integrated with Deep Learning for High‐Accuracy and Low‐Power Sleep Apnea Monitoring

Advanced Science, EarlyView.
A dual‐modal wearable pulse detection system is developed for sleep apnea monitoring by integrating a self‐powered PENG and PPG sensor with a biomimetic fingertip structure. Through a two‐stage detection strategy, continuous PPW monitoring and on‐demand PPG detection achieve high‐accuracy sleep apnea recognition while maintaining low power consumption.
Jia Wang, Jiangtao Xue, Yang Zou, Yuxin Ma, Junhan Xu, Yanming Li, Fei Deng, Yiqian Wang, Kai Xing, Zhou Li, Tong Zou   +10 more
wiley   +1 more source

Head phantoms for electroencephalography and transcranial electric stimulation: a skull material study

, 2018
Physical head phantoms allow assessing source reconstruction procedures in electroencephalography and electrical stimulation profiles during transcranial electric stimulation. Volume conduction in the head is strongly influenced by the skull representing
Fiedler, Patrique, Haueisen, Jens, Hunold, Alexander, Strohmeier, Daniel   +3 more
core   +1 more source

Wireless Technologies for Wearable Electronics: A Review

Advanced Electronic Materials, EarlyView.
This review discusses recent advancements in wireless wearable electronics, focusing on communication technologies and power solutions. It covers key design considerations, explores wireless protocols from short‐ to long‐range networks, and examines powering methods such as integrated sources and energy harvesting.
Choong Yeon Kim, Juhyun Lee, Eun Young Jeong, Yeji Jang, Heesoo Kim, Bohyung Choi, Donggi Han, Youngjun Oh, Jae‐Woong Jeong   +8 more
wiley   +1 more source

Physical Reservoir Computing for Real‐Time Electrocardiogram Arrhythmia Detection Through Controlled Ion Dynamics in Electrochemical Random‐Access Memory

Advanced Electronic Materials, EarlyView.
This study presents an ECRAM‐based physical reservoir computing system for real‐time electrocardiogram arrhythmia detection. By optimizing electrolyte ionic conductivity and channel ionic diffusivity, it achieves including non‐linear dynamics, millisecond‐scale tunable retention, low‐power operation, and minimal variation.
Kyumin Lee, Dongmin Kim, Jongseon Seo, Hyunsang Hwang   +3 more
wiley   +1 more source

Interactive Prompt‐Guided Robotic Grasping for Arbitrary Objects Based on Promptable Segment Anything Model and Force‐Closure Analysis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu, Yaxin Liu, Ruiqing Han, Kai Zheng, Yufeng Yao, Ming Zhong   +5 more
wiley   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

Deep‐Learning Model for Central Nervous System Infection Diagnosis and Prognosis Using Label‐Free 3D Immune‐Cell Morphology in the Cerebrospinal Fluid

Advanced Intelligent Systems, EarlyView.
Early diagnosis and prognosis prediction of central nervous system infections are critical. This study introduces a deep‐learning model utilizing cerebrospinal fluid immune‐cell morphology captured via 3D holotomography. The model effectively predicts infection etiology and prognosis, achieving high accuracy.
Bo Kyu Choi, Ho Heon Yang, Jong Hyun Kim, JaeSeong Hong, Kyung Min Kim, Yu Rang Park   +5 more
wiley   +1 more source

Early changes in alpha band power and DMN BOLD activity in Alzheimer's disease: a simultaneous resting state EEG-fMRI study [PDF]

, 2017
Simultaneous resting state functional magnetic resonance imaging (rsfMRI)-resting state electroencephalography (rsEEG) studies in healthy adults showed robust positive associations of signal power in the alpha band with BOLD signal in the thalamus, and ...
Babiloni, Claudio, Berger, Christoph, Brueggen, Katharina, Fiala, Carmen, Ochmann, Sina, Teipel, Stefan J.   +5 more
core   +1 more source

Two New Cases Expand the Phenotypic Spectrum of TUBG1 Missense Variants

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT The gamma‐tubulin ring complex (γ‐TuRC) plays a role in coordinating centrosome and spindle pole body formation during cell division. TUBG1 encodes a critical component of the γ‐TuRC. Pathogenic TUBG1 variants can cause a range of alterations in cortical gyral patterning, microcephaly, and other neurological manifestations.
Roser Urreizti, Jessica Vissicchio, Mohamed Idries, Monica Cozar, Raquel Rabionet, Tyhiesia Donald, Elizabeth J. Bhoj, Tomoki T. Nomakuchi, Shannon C. Shipley, Andrew E. Timms, Ghayda M. Mirzaa, Mercedes Serrano, Andrew K. Sobering   +12 more
wiley   +1 more source