Results 171 to 180 of about 1,722,972 (212)

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

Advanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source

Neonatal Respiration Monitoring System with Synchronized Oxygen Supply and Machine Learning‐Based Breathing Classification

Advanced Intelligent Systems, EarlyView.
The study presents a low‐cost, noninvasive system for real‐time neonatal respiratory monitoring. A flexible, screen‐printed sensor patch captures chest movements with high sensitivity and minimal drift. Combined with machine learning, the system accurately detects breathing patterns and offers a practical solution for neonatal care in low‐resource ...
Gitansh Verma, Eugen Koch, Andreas Dietzel, Shrutidhara Sarma   +3 more
wiley   +1 more source

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

Development of Artificial Intelligence for Quantitative Assessment of Nasal Inflammatory Cytology in Chronic Rhinitis by Whole‐Slide Images

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Chronic rhinitis (CR) is currently recognized as a syndrome that manifests in different phenotypes. We aimed to establish an artificial intelligence system (quantitative assessment of nasal inflammatory cytology, QANIC) on the basis of whole‐slide images (WSIs) to enable quantitative assessment of nasal inflammatory cells.
Xu Zhang, Xu Xu, Weiwei Liu, Long Qin, Yu Song, Jingyun Li, Lin Xi, Chengshuo Wang, Luo Zhang, Yuan Zhang   +9 more
wiley   +1 more source

The Vietnamese swine as a translational model of invasive ductal carcinoma of the breast

Animal Models and Experimental Medicine, EarlyView.
The flow diagram outlines the chemical induction of breast tumors through a single intraperitoneal dose of MNU. Tumor development was assessed using ultrasound and clinical examination. After 14 weeks, mammary tissue was collected and histologically analyzed to evaluate structural similarities between sows and humans, the carcinogenic potential of MNU,
Claudia Elizabeth Vera‐Tizatl, Arturo Vera‐Hernández, Lorenzo Leija‐Salas, Marco Antonio Vega‐López, María del Carmen Ramírez‐Estudillo, German Isauro Garrido Fariña, Adriana Leticia Vera‐Tizatl   +6 more
wiley   +1 more source

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Contactless Respiration Monitoring Using Wi-Fi and Artificial Neural Network Detection Method

IEEE journal of biomedical and health informatics, 2023
Detecting respiration in a non-intrusive manner is beneficial not only for convenience but also for cases where the traditional ways cannot be applied. This paper presents a novel simple low-cost system where ambient Wi-Fi signals are acquired by a third-
Panagiota Kontou, S. B. Smida, Dimitris E. Anagnostou   +2 more
semanticscholar   +1 more source

Human respiration monitoring using infrared thermography and artificial intelligence

Biomedical engineering and physics express, 2020
The respiration rate (RR) is the most vital parameter used for the determination of human health. The most widely adopted techniques, used to monitor the RR are contact in nature and face many drawbacks.
Preeti Jagadev, L. Giri
semanticscholar   +1 more source

High Accuracy Respiration and Heart Rate Detection Based on Artificial Neural Network Regression

Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2020
A 24GHz Doppler radar system for accurate contactless monitoring of heart and respiratory rates is demonstrated here. High accuracy predictions are achieved by employing a CNN+LSTM neural network architecture for regression analysis. Detection accuracies
Yu-Chiao Tsai, Shih-Hsuan Lai, Ching-Ju Ho, Fang-Ming Wu, Lindor Henrickson, Chia-Chien Wei, Irwin Chen, Vincent Wu, Jyehong Chen   +8 more
semanticscholar   +1 more source

A novel respiration pattern biometric prediction system based on artificial neural network

, 2020
The purpose of this paper is to introduce a novel respiration pattern-based biometric prediction system (BPS) by using artificial neural network (ANN).,Respiration patterns were obtained using a knitted piezoresistive smart chest band.
R. K. Raji, Michael Adjeisah, X. Miao, A. Wan   +3 more
semanticscholar   +1 more source

Prototyping of Artificial Respiration Machine Using AMBU Bag Compression

International Conference on Electronics, Information and Communications, 2019
Ventilators are crucial medical equipment. Mostly, they are used to support critically ill patients. Nowadays, more and more people are adopting sedentary lifestyles, this along with the severe pollution problem has caused a surge in the number of ...
M. Shahid
semanticscholar   +1 more source