AIMC Journal:
ieee-embc

Showing 301 to 310 of 1686 articles

Physical, Social and Cognitive Stressor Identification using Electrocardiography-derived Features and Machine Learning from a Wearable Device.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Anxiety is a prevalent and detrimental mental health condition affecting young adults, particularly in college students who face a range of stressors including academic pressures, interpersonal relationships, and financial concerns. The ability to pr...
Heart Rate Support Vector Machine Female Signal Processing, Computer-Assisted Male Young Adult Humans Anxiety Adult Machine Learning Stress, Psychological Wearable Electronic Devices Cognition Electrocardiography
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Differences in Optimal Control Strategies for Bimanual Coordination Between Dominant and Non-Dominant Hands in Teleoperation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Remote operation using dual-arm robots has the potential to increase the efficiency and safety of tasks traditionally carried out by humans. However, coordinating two robotic arms for tasks that involve both hands is challenging because the operation...
Humans Female Hand Functional Laterality Adult Male Robotics
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Embedded Force Sensor with Deep Transformation Calibration for Interventional Soft Robots.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
A calibration method for gelatin-graphite-based soft sensors is proposed. This approach uses convolutional deep learning approaches that account for a sensor's non-linear behaviour and reduce noise amplification. This technique offers a smaller minim...
Calibration Gelatin Robotics Equipment Design Robotic Surgical Procedures Algorithms Deep Learning Humans
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Toward Autonomous Marker Localization for Lumbar Epidural Steroid Injection Robot.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This study compares the effectiveness of the traditional minimum circle detection strategy, i.e. Welzl's algorithm, and the state-of-the-art nnU-Net in the localization of lumbar Epidural Steroid Injection (ESI) robot markers across different imaging...
Humans Algorithms Tomography, X-Ray Computed Steroids Injections, Epidural Magnetic Resonance Imaging Fiducial Markers Robotics Lumbar Vertebrae
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DACVNet: Dual Attention Concatenation Volume Net for Stereo Endoscope 3D Reconstruction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Depth estimation is a crucial task in endoscopy for three-dimensional reconstruction, surgical navigation, and augmented reality visualization. Stereo scope based depth estimation which involves capturing two images from different viewpoints, is a pr...
Neural Networks, Computer Algorithms Endoscopy Imaging, Three-Dimensional Humans Phantoms, Imaging Endoscopes
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Improving Neonatal Care with AI: Class Weight Optimization for Respiratory Distress Syndrome Prediction in Very Low Birth Weight Infants.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
In this study, we developed an AI model to predict Respiratory Distress Syndrome (RDS) in premature infants, aiming to reduce unnecessary treatment with artificial pulmonary surfactant. We analyzed data from 13,120 infants in 76 hospitals, considerin...
Respiratory Distress Syndrome, Newborn Female Infant, Newborn Male Support Vector Machine Infant, Premature Infant, Very Low Birth Weight Artificial Intelligence Machine Learning Algorithms Humans Neural Networks, Computer
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Emotion Recognition from Speech Signals by Mel-Spectrogram and a CNN-RNN.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Speech emotion recognition (SER) in health applications can offer several benefits by providing insights into the emotional well-being of individuals. In this work, we propose a method for SER using time-frequency representation of the speech signals...
Algorithms Speech Emotions Humans Neural Networks, Computer Signal Processing, Computer-Assisted
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The Effects of Robotic Exoskeleton Gait Training on Improving Walking Adaptability in Persons with MS.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
The goal of the present pilot investigation is to examine the effects of 8 weeks of supervised, over-ground gait training using a robotic exoskeleton (RE) compared with a control condition (conventional gait therapy, CGT) in persons with MS with ambu...
Adult Middle Aged Pilot Projects Humans Female Adaptation, Physiological Gait Multiple Sclerosis Exoskeleton Device Robotics Walking
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Deep Left Ventricular Motion Estimation Methods in Echocardiography: A Comparative 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, 2024
Motion estimation in echocardiography is critical when assessing heart function and calculating myocardial deformation indices. Nevertheless, there are limitations in clinical practice, particularly with regard to the accuracy and reliability of meas...
Movement Image Processing, Computer-Assisted Heart Ventricles Motion Humans Algorithms Reproducibility of Results Echocardiography Deep Learning
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Leveraging Graph Neural Networks for MIC Prediction in Antimicrobial Resistance Studies.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Antimicrobial resistance (AMR) poses a significant challenge in healthcare and public health, with organisms such as nontyphoidal Salmonella leading the way due to their escalating resistance to antimicrobial agents. This situation severely complicat...
Humans Neural Networks, Computer Drug Resistance, Bacterial Machine Learning Microbial Sensitivity Tests Algorithms Graph Neural Networks Anti-Bacterial Agents
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