AIMC Topic: Monitoring, Physiologic

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A Smart Service Platform for Cost Efficient Cardiac Health Monitoring.

International journal of environmental research and public health Aug 30, 2020
AIM: In this study we have investigated the problem of cost effective wireless heart health monitoring from a service design perspective.
Signal Processing, Computer-Assisted Atrial Fibrillation Heart Rate Efficiency, Organizational Artificial Intelligence Reproducibility of Results Monitoring, Physiologic Monitoring, Ambulatory Information Systems Computer Communication Networks Humans
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A machine-learning algorithm for neonatal seizure recognition: a multicentre, randomised, controlled trial.

The Lancet. Child & adolescent health Aug 27, 2020
BACKGROUND: Despite the availability of continuous conventional electroencephalography (cEEG), accurate diagnosis of neonatal seizures is challenging in clinical practice. Algorithms for decision support in the recognition of neonatal seizures could ...
Infant Monitoring, Physiologic Electroencephalography Seizures Netherlands United Kingdom Ireland Intensive Care, Neonatal Humans Machine Learning Algorithms Sweden
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Gait Phase Recognition Using Deep Convolutional Neural Network with Inertial Measurement Units.

Biosensors Aug 27, 2020
Gait phase recognition is of great importance in the development of assistance-as-needed robotic devices, such as exoskeletons. In order for a powered exoskeleton with phase-based control to determine and provide proper assistance to the wearer durin...
Neural Networks, Computer Machine Learning Algorithms Biomechanical Phenomena Humans Wearable Electronic Devices Monitoring, Physiologic Gait
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Machine learning for a combined electroencephalographic anesthesia index to detect awareness under anesthesia.

PloS one Aug 26, 2020
Spontaneous electroencephalogram (EEG) and auditory evoked potentials (AEP) have been suggested to monitor the level of consciousness during anesthesia. As both signals reflect different neuronal pathways, a combination of parameters from both signal...
Anesthesia, General Electroencephalography Consciousness Anesthetics, Intravenous Algorithms Humans Evoked Potentials, Auditory Monitoring, Intraoperative Neural Networks, Computer Consciousness Monitors Support Vector Machine Machine Learning Monitoring, Physiologic
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Detecting asthma exacerbations using daily home monitoring and machine learning.

The Journal of asthma : official journal of the Association for the Care of Asthma Aug 14, 2020
OBJECTIVE: Acute exacerbations contribute significantly to the morbidity of asthma. Recent studies have shown that early detection and treatment of asthma exacerbations leads to improved outcomes. We aimed to develop a machine learning algorithm to d...
Asthma Male Middle Aged Disease Progression Humans Machine Learning Female Bronchodilator Agents Formoterol Fumarate Home Care Services Terbutaline Severity of Illness Index Drug Combinations Monitoring, Physiologic Budesonide
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A Stacked Human Activity Recognition Model Based on Parallel Recurrent Network and Time Series Evidence Theory.

Sensors (Basel, Switzerland) Jul 19, 2020
As the foundation of Posture Analysis, recognizing human activity accurately in real time assists in using machines to intellectualize living condition and monitor health status. In this paper, we focus on recognition based on raw time series data, w...
Humans Neural Networks, Computer Monitoring, Physiologic Posture Human Activities
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Agents and robots for collaborating and supporting physicians in healthcare scenarios.

Journal of biomedical informatics Jun 27, 2020
Monitoring patients through robotics telehealth systems is an interesting scenario where patients' conditions, and their environment, are dynamic and unknown variables. We propose to improve telehealth systems' features to include the ability to serv...
Pandemics COVID-19 Geriatrics Aged Computer Systems Pneumonia, Viral Risk Models, Theoretical Nursing Homes Monitoring, Physiologic Coronavirus Infections Emergency Medicine Humans Robotics Infectious Disease Medicine Artificial Intelligence Telemedicine Medical Informatics
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Prediction of Body Weight of a Person Lying on a Smart Mat in Nonrestraint and Unconsciousness Conditions.

Sensors (Basel, Switzerland) Jun 19, 2020
We want to predict body weight while lying in bed for an elderly patient who is unable to move by himself/herself. To this end, we have implemented a prototype system that estimates the body weight of a person lying on a smart mat in nonrestraint and...
Humans Unconsciousness Neural Networks, Computer Beds Machine Learning Aged Deep Learning Monitoring, Physiologic Body Weight
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Facial expression monitoring system for predicting patient's sudden movement during radiotherapy using deep learning.

Journal of applied clinical medical physics Jun 9, 2020
PURPOSE: Imaging, breath-holding/gating, and fixation devices have been developed to minimize setup errors so that the prescribed dose can be exactly delivered to the target volume in radiotherapy. Despite these efforts, additional patient monitoring...
Movement Neural Networks, Computer Deep Learning Monitoring, Physiologic Facial Expression Humans
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Predicting polysomnographic severity thresholds in children using machine learning.

Pediatric research May 9, 2020
BACKGROUND: Approximately 500,000 children undergo tonsillectomy and adenoidectomy (T&A) annually for treatment of obstructive sleep disordered breathing (oSDB). Although polysomnography is beneficial for preoperative risk stratification in these chi...
Oximetry Adenoidectomy Actigraphy Asthma Hypersensitivity Male Polysomnography Surveys and Questionnaires Child Machine Learning Monitoring, Physiologic Sleep Apnea Syndromes Algorithms Humans Decision Making Sleep Apnea, Obstructive Female Tonsillectomy Anthropometry Signal Processing, Computer-Assisted Risk
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