AIMC Journal:
ieee-embc

Showing 441 to 450 of 1686 articles

NeBULA: A Standardized Protocol for the Benchmarking of Robotic-based Upper Limb Neurorehabilitation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
The use of robotic technologies in neurorehabilitation is growing, because they allow highly repeatable exercise protocols and patient-tailored therapies. However, there is a lack of objective methods for assessing these technologies, which makes it ...
Robotic Surgical Procedures Upper Extremity Benchmarking Neurological Rehabilitation Biomarkers Humans Robotics
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Quantitative Analysis of Differentiation Activity for Mouse Embryonic Stem Cells by Deep Learning for Cell Center Detection using Three-Dimensional Confocal Fluorescence Microscopy Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Accurate single cell segmentation provides means to monitor the behavior of single cell within a population of cells. Time-lapse fluorescence images are used to reveal heterogeneous nature of single mouse embryonic stem cell (ESC) colony and monitor ...
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Imaging, Three-Dimensional Animals Mouse Embryonic Stem Cells Image Processing, Computer-Assisted Mice Deep Learning Microscopy, Fluorescence
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A Deep-Learning Enabled Automatic Fetal Thalamus Diameter Measurement Algorithm.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
The analysis of maternal factors that impact the normal development of the fetal thalamus is an emerging field of research and requires the retrospective measurement of fetal thalamus diameter (FTD). Unfortunately, FTD is not measured in routine 2D u...
Frontotemporal Dementia Fetus Thalamus Humans Retrospective Studies Deep Learning Algorithms
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An Enhanced Synthetic Cystoscopic Environment for Use in Monocular Depth Estimation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
As technology advances and sensing devices improve, it is becoming more and more pertinent to ensure accurate positioning of these devices, especially within the human body. This task remains particularly difficult during manual, minimally invasive s...
Humans Cystoscopy Photography Neural Networks, Computer Minimally Invasive Surgical Procedures
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Deep learning based reconstruction enables high-resolution electrical impedance tomography for lung function assessment.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Recently, deep learning based methods have shown potential as alternative approaches for lung time difference electrical impedance tomography (tdEIT) reconstruction other than traditional regularized least square methods, that have inherent severe il...
Tomography Electric Impedance Humans Lung Tomography, X-Ray Computed Deep Learning
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Handling Class Imbalance in Machine Learning-based Prediction Models: A Case Study in Asthma Management.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
A data-driven prediction tool has the potential to provide early warning of an asthma attack and improve asthma management and outcomes. Most previous machine learning (ML)-based studies for asthma attack prediction have reported a severe class imbal...
Monitoring, Physiologic Machine Learning Algorithms Quality of Life Logistic Models Humans
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Evaluating the effectiveness of an active strap for wearable robot: A Mechanical and Physiological Study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Straps are the most commonly used elements in the wearable robotic field, where it is employed as a physical human robot interface (pHRI) between the wearable robot and wearer's body. The main role of the strap is to transmit power from the robot to ...
Wearable Electronic Devices Robotics Humans Braces Orthotic Devices Exoskeleton Device
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Face-Free Chest Detection Using Convolutional Neural Networks for Non-Contact Respiration Monitoring.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Non-contact methods for monitoring respiration face limitations when it comes to selecting the chest region of interest. The semi-automatic method, which requires the user to select the chest region in the first frame, is not suitable for real-time a...
Neural Networks, Computer Respiration Monitoring, Physiologic Face
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DeepPuff: Utilizing Deep Learning for Smoking Behavior Identification in Free-living Environment.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
A comprehensive assessment of cigarette smoking behavior and its effect on health requires a detailed examination of smoke exposure. We propose a CNN-LSTM-based deep learning architecture named DeepPuff to quantify Respiratory Smoke Exposure Metrics ...
Humans Deep Learning Tobacco Products Cigarette Smoking Respiration
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sEMG-based Motion Recognition for Robotic Surgery Training - A Preliminary Study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Robotic surgery represents a major breakthrough in the evolution of medical technology. Accordingly, efficient skill training and assessment methods should be developed to meet the surgeon's need of acquiring such robotic skills over a relatively sho...
Male Virtual Reality Humans Female Robotics Electromyography Robotic Surgical Procedures Motion
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