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Showing 1261 to 1270 of 1686 articles

Sleep Apnea Severity Estimation from Respiratory Related Movements Using Deep 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, 2019
Sleep apnea is a common chronic respiratory disorder which occurs due to the repetitive complete or partial cessations of breathing during sleep. The gold standard assessment of sleep apnea requires full night polysomnography in a sleep laboratory wh...
Polysomnography Sleep Respiration Male Aged Middle Aged Adult Deep Learning Humans Sleep Apnea Syndromes Female
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Improved Imaging Resolution of Electrical Impedance Tomography Using Artificial Neural Networks for Image 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, 2019
Electrical impedance tomography (EIT) is a noninvasive and non-radiative medical imaging technique based on detecting the inhomogeneous electrical properties of the tissue. The inverse problem of EIT is a highly nonlinear ill-posed problem, which is ...
Neural Networks, Computer Algorithms Electric Impedance Tomography Image Processing, Computer-Assisted Humans
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Deep Learning Based Patient-Specific Classification of Arrhythmia on ECG signal.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The classification of the heartbeat type is an essential function in the automatical electrocardiogram (ECG) analysis algorithm. The guideline of the ANSI/AAMI EC57 defined five types of heartbeat: non-ectopic or paced beat (N), supraventricular ecto...
Electrocardiography Signal Processing, Computer-Assisted Heart Rate Humans Algorithms Neural Networks, Computer Deep Learning
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A Comparative Evaluation of SteamVR Tracking and the OptiTrack System for Medical Device Tracking.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Tracking of medical devices can be used in diverse situations, e.g., training as well as image guidance for surgery and surgery planning. Therefore, position and orientation of a device, for instance, an ultrasound probe, need to be identified as pre...
Software Ultrasonography Image Processing, Computer-Assisted Robotics Equipment and Supplies
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Realtime Indoor Workout Analysis Using Machine Learning & Computer Vision.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
These days there are thousands of workout videos available on the internet. Samsung Health [1] provides a dedicated section called programs containing short workout videos for various exercises. The goal is to assist people perform these workouts ind...
Humans Machine Learning Posture Exercise Therapy Exercise
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Detection of Abnormal Segments in Finger Tapping Waveform using One-class SVM.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
We have developed a finger-tapping device with magnetic sensors, UB2, for the early detection of dementia. The goal of the present study is to develop a method for detecting abnormal segments in the finger tapping waveform in an objective way using m...
Motion Support Vector Machine Hand Humans Machine Learning
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Classification of Perceived Human Stress using Physiological Signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
In this paper, we present an experimental study for the classification of perceived human stress using non-invasive physiological signals. These include electroencephalography (EEG), galvanic skin response (GSR), and photoplethysmography (PPG). We co...
Bayes Theorem Electroencephalography Stress, Psychological Support Vector Machine Signal Processing, Computer-Assisted Galvanic Skin Response Humans Neural Networks, Computer Algorithms
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Hierarchical classification scheme for real-time recognition of physical activities and postural transitions using smartphone inertial sensors.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
This paper introduces a novel approach for real-time classification of human activities using data from inertial sensors embedded in a smartphone. We propose a hierarchical classification scheme to recognize seven classes of activities including post...
Humans Algorithms Exercise Human Activities Physical Functional Performance Accelerometry Smartphone Support Vector Machine
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EEG-Based Emotion Recognition with Similarity Learning Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Emotion recognition is an important field of research in Affective Computing (AC), and the EEG signal is one of useful signals in detecting and evaluating emotion. With the development of the deep learning, the neural network is widely used in constr...
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Emotions Electroencephalography Humans Algorithms Neural Networks, Computer Brain
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Application of Signed Distance Function Neural Network in Real-Time Feet Tracking.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Loss of locomotion is one major problem faced by the elderly currently. Various rehabilitation technologies have been developed to assist them in recovering walking capability. Gait monitoring is an important aspect of lower-limb function rehabilitat...
Humans Neural Networks, Computer Gait Motion Foot Aged Walking
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