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Showing 1311 to 1320 of 1686 articles

ENS-Unet: End-to-End Noise Suppression U-Net for Brain Tumor Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Thanks to deep convolutional neural networks (CNNs), Brain Tumor Segmentation (BTS) has made great progresses, while most existing methods are parsed into several stages and cannot be trained end-to-end. In this paper, we propose a novel and light no...
Brain Neoplasms Humans Neural Networks, Computer
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Deep Learning for Continuous Electronic Fetal Monitoring in Labor.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Continuous electronic fetal monitoring (EFM) is used worldwide to visually assess whether a fetus is exhibiting signs of distress during labor, and may benefit from an emergency operative delivery (e.g. Cesarean section). Previously, computerized EFM...
Fetal Distress Cardiotocography Labor, Obstetric Neural Networks, Computer Humans Pregnancy Female Deep Learning
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Investigating the Impact of CNN Depth on Neonatal Seizure Detection Performance.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
This study presents a novel, deep, fully convolutional architecture which is optimized for the task of EEG-based neonatal seizure detection. Architectures of different depths were designed and tested; varying network depth impacts convolutional recep...
Electroencephalography Seizures Humans Image Processing, Computer-Assisted Neural Networks, Computer Support Vector Machine Infant, Newborn
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Depression Severity Classification from Speech Emotion.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Major Depressive Disorder (MDD) is a common psychiatric illness. Automatically classifying depression severity using audio analysis can help clinical management decisions during Deep Brain Stimulation (DBS) treatment of MDD patients. Leveraging the l...
Depressive Disorder, Major Severity of Illness Index Speech Depression Humans Neural Networks, Computer Magnetic Resonance Imaging Emotions
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Fault-Tolerant Sensor Detection of sEMG signals: Quality Analysis Using a Two-Class Support Vector Machine.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
The capacity to identify the contamination in surface electromyography (sEMG) signals is necessary for applying the sEMG controlled prosthesis over time. In this paper, the method for the automatic identification of commonly occurring contaminant typ...
Support Vector Machine Signal Processing, Computer-Assisted Electromyography Artificial Limbs Humans Algorithms
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Surface EMG Pattern Recognition Using Long Short-Term Memory Combined with Multilayer Perceptron.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Motion classification based on pattern recognition of surface EMG (sEMG) signals is a promising approach for prosthetic control. We present a pattern recognition model that combines long short-term memory (LSTM) network with multiplayer perceptron (M...
Pattern Recognition, Automated Algorithms Electromyography Humans Neural Networks, Computer
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Noise Detection in Electrocardiography Signal for Robust Heart Rate Variability Analysis: A Deep Learning Approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Heart rate variability (HRV) analysis is widely used to assess the sympathetic and parasympathetic tones. However, the quality of the derived HRV features is heavily dependent on the accuracy of QRS detection. Noisy electrocardiography (ECG) signals,...
Signal Processing, Computer-Assisted Heart Rate Electrocardiography Support Vector Machine Humans Algorithms Deep Learning
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Continuous Pain Intensity Estimation from Autonomic Signals with Recurrent Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Pain is usually measured by patient's self-report, which requires patient collaboration. Hence, the development of an objective automatic pain detection method would be useful in many clinical applications and patient populations. Previous studies ha...
Pain Measurement Pain Humans Neural Networks, Computer Autonomic Nervous System Heart Rate Galvanic Skin Response
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SpiroConfidence: Determining the Validity of Smartphone Based Spirometry Using Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Prior work has shown that smartphone spirometry can effectively measure lung function using the phone's built-in microphone and could one day play a critical role in making spirometry more usable, accessible, and cost-effective. Although traditional ...
Spirometry Neural Networks, Computer Machine Learning Feedback Smartphone Humans
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Artificial Neural Network for Laparoscopic Skills Classification Using Motion Signals from Apple Watch.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
The acquisition of laparoscopic technical skills is constrained by the limited training opportunities and the necessity of having staff physicians on site to provide feedback to the trainees. In addition, the assessment tools used to measure trainees...
Neural Networks, Computer Feedback Humans Laparoscopy Motion Clinical Competence Wearable Electronic Devices
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