AIMC Topic: Respiration

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RespNet: A deep learning model for extraction of respiration from photoplethysmogram.

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
Respiratory ailments afflict a wide range of people and manifests itself through conditions like asthma and sleep apnea. Continuous monitoring of chronic respiratory ailments is seldom used outside the intensive care ward due to the large size and co...
Algorithms Deep Learning Photoplethysmography Electrocardiography Humans Signal Processing, Computer-Assisted Heart Rate Respiration
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Reckoning respiratory signals to affectively decipher mental state.

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
Recognizing mental states from physiological signal is a concern not only for medical diagnostics, but also for cognitive science, behavioral studies as well as brain machine interfaces. This study employs an unique approach of solely utilizing the r...
Humans Neural Networks, Computer Algorithms Brain-Computer Interfaces Respiration Mental Status and Dementia Tests
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Biosignal-Based Multimodal Emotion Recognition in a Valence-Arousal Affective Framework Applied to Immersive Video Visualization.

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
Many emotion recognition schemes have been proposed in the state-of-the-art. They generally differ in terms of the emotion elicitation methods, target emotional states to recognize, data sources or modalities, and classification techniques. In this w...
Respiration Arousal Electrocardiography Support Vector Machine Emotions Humans Heart Rate
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Imputing Missing Data In Large-Scale Multivariate Biomedical Wearable Recordings Using Bidirectional Recurrent Neural Networks With Temporal Activation Regularization.

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
Miniaturized and wearable sensor-based measurements offer unprecedented opportunities to study and assess human behavior in natural settings with wide ranging applications including in healthcare, wellness tracking and entertainment. However, wearabl...
Movement Heart Rate Data Accuracy Respiration Humans Neural Networks, Computer Machine Learning Wearable Electronic Devices Cluster Analysis
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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...
Sleep Apnea Syndromes Adult Humans Sleep Male Respiration Female Middle Aged Polysomnography Aged Deep Learning
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Crackle and Breathing Phase Detection in Lung Sounds with Deep Bidirectional Gated 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
In this paper, we present a method for event detection in single-channel lung sound recordings. This includes the detection of crackles and breathing phase events (inspiration/expiration). Therefore, we propose an event detection approach with spectr...
Respiratory Sounds Heart Sounds Humans Neural Networks, Computer Lung Sound Sound Spectrography Respiration
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Machine Learning in Rehabilitation Assessment for Thermal and Heart Rate Data Processing.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 1, 2018
Multimodal signal analysis based on sophisticated noninvasive sensors, efficient communication systems, and machine learning, have a rapidly increasing range of different applications. The present paper is devoted to pattern recognition and the analy...
Rehabilitation Respiration Electronic Data Processing Respiratory Rate Bicycling Physical Fitness Pattern Recognition, Automated Body Temperature Humans Neural Networks, Computer Machine Learning Algorithms Exercise Heart Rate
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Effectiveness of abdominal compression in reducing internal target motion during conformal radiotherapy for carcinoma stomach - A pilot study.

Indian journal of cancer Jan 1, 2018
AIM: : To assess the effectiveness of abdominal compression in reducing internal target motion during conformal radiotherapy for stomach cancer.
Pilot Projects Adult Cost-Benefit Analysis Humans Stomach Neoplasms Abdomen Radiotherapy, Conformal Tomography, X-Ray Computed Male Radiotherapy Planning, Computer-Assisted Respiration Aged Middle Aged Radiosurgery
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Human emotion classification based on multiple physiological signals by wearable system.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
BACKGROUND: Human emotion classification is traditionally achieved using multi-channel electroencephalogram (EEG) signal, which requires costly equipment and complex classification algorithms.
Humans Algorithms Wearable Electronic Devices Respiration Posture Electrocardiography Electroencephalography Support Vector Machine Signal Processing, Computer-Assisted Emotions Monitoring, Ambulatory
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Feasibility of Automated Propofol Sedation for Transcatheter Aortic Valve Implantation: A Pilot Study.

Anesthesia and analgesia Nov 1, 2017
BACKGROUND: Recently, several trials have shown that closed-loop sedation is feasible. No study has used automated sedation in extremely frail patients, such as those scheduled for transcatheter aortic valve implantation (TAVI). We developed and test...
Anesthesia, Intravenous Risk Factors Clinical Alarms Aged Transcatheter Aortic Valve Replacement Aged, 80 and over Male Consciousness Monitors Humans Prospective Studies Hemodynamics Female Robotics Pilot Projects Feasibility Studies Elective Surgical Procedures Monitoring, Intraoperative Anesthetics, Intravenous Equipment Design Automation Respiration Decision Support Systems, Clinical Treatment Outcome Propofol Hypnotics and Sedatives
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