Results 111 to 120 of about 90,690 (297)

Optical Fiber‐Based Versatile Wearable Force Myography System: Application to Human–Robot Interaction

Advanced Intelligent Systems, EarlyView.
A compact and flexible wearable force myography sensor based on optical fiber technology detects muscle activity through pressure‐induced light loss. The sensor offers high sensitivity for detecting subtle force and finger motion changes, along with excellent signal stability under dynamic and sweating conditions.
Chongyoung Chung, Heeju Mun, Seyed Farokh Atashzar, Ki‐Uk Kyung   +3 more
wiley   +1 more source

Three Synchronized, Miniaturized, Wireless Inertial Measurement Unit Sensors for Automated Gait and Balance Analysis System

Advanced Intelligent Systems, EarlyView.
This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi, Ki‐Hoon Kim, Heung Jin Park, Yuna Kim, Hyunjin Lee, Yu Bin Lee, Youn Joung Kang, Sungchul Huh, Min‐Ho Seo   +8 more
wiley   +1 more source

Predicting the Trends of COVID-19 Cases Using LSTM, GRU and RNN in India

, 2022
Sweeti Sah, Akash Kamerkar, B. Surendiran, R. Dhanalakshmi   +3 more
openalex   +2 more sources

Real‐Time and Rapid Dynamic Missile Identification Utilizing a TiOx Memristor Array

Advanced Intelligent Systems, EarlyView.
Real‐time missile target identification is demonstrated using an artificial intelligence model based on step‐weighted long–short‐term memory networks and a TiOx memristor array. The approach classifies five projectile types with enhanced early‐stage prediction through data augmentation and custom training strategies. Achieving 94.4% accuracy, the model
Mingyu Kim, Gwanyeong Park, Gunuk Wang
wiley   +1 more source

Improving capacity for advanced training in obstetric surgery: evaluation of a blended learning approach

BMC Medical Education
Background Significant differences in outcomes for mothers and babies following obstetric surgical interventions between low- and middle-income countries and high-income settings have demonstrated a need for improvements in quality of care and training ...
Helen Allott, Alan Smith, Sarah White, Irene Nyaoke, Ogoti Evans, Michael Oriwo Oduor, Steven Karangau, Sheila Sawe, Nassir Shaaban, Ochola Ephraim, Charles Anawo Ameh   +10 more
doaj   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

Advanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova, Norelli Schettini, Winston Percybrooks, Begoña García‐Zapirain   +3 more
wiley   +1 more source

Deep-BEJT: A New Human Activity Recognition System based on Beta Elliptical Joint Trajectory (BEJT) and Long Short Term Memory (LSTM)

, 2021
Ghabri Sawsen, Wael Ouarda, Houcine Boubaker, Mohamed Moncef Ben Khelifa, Adel M. Alimi   +4 more
openalex   +1 more source

Contact Force Estimation of Continuum Robots without Embedded Sensors: A Review

Advanced Intelligent Systems, EarlyView.
This review surveys methods for estimating contact forces in continuum robots without embedded sensors. It explains why contact force matters, classifies force patterns, and groups existing methods into three approaches based on actuation, deformation, and environment information.
An Hu, Yu Sun
wiley   +1 more source

Multivariate Contrastive Predictive Coding with Sliding Windows for Disease Prediction from Electronic Health Records

Advanced Intelligent Systems, EarlyView.
Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan, Xiaozhu Jing, Yuzheng Yan, Wuman Luo   +3 more
wiley   +1 more source

Critical signs and symptoms for self-assessment in the immediate postnatal period: an international Systematic Scoping Review and Delphi consensus study

BMC Pregnancy and Childbirth
Background Every two minutes a woman dies from complications of pregnancy and childbirth. Most maternal deaths occur within the first 24 hours following birth, highlighting the importance of immediate postnatal care (iPNC).
Teesta Dey, Nada Bassiony, Angela Hancock, Lenka Benova, Matthews Mathai, Etienne Vincent Langlois, Sam Ononge, Tina Lavender, Andrew Weeks   +8 more
doaj   +1 more source