AIMC Topic: Monitoring, Physiologic
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Fear Recognition for Women Using a Reduced Set of Physiological Signals.
Sensors (Basel, Switzerland)
Feb 25, 2021
Emotion recognition is benefitting from the latest research into physiological monitoring and wireless communications, among other remarkable achievements. These technologies can indeed provide solutions to protect vulnerable people in scenarios such...
Intelligent Brushing Monitoring Using a Smart Toothbrush with Recurrent Probabilistic Neural Network.
Sensors (Basel, Switzerland)
Feb 10, 2021
Smart toothbrushes equipped with inertial sensors are emerging as high-tech oral health products in personalized health care. The real-time signal processing of nine-axis inertial sensing and toothbrush posture recognition requires high computational...
Improved Action Recognition with Separable Spatio-Temporal Attention Using Alternative Skeletal and Video Pre-Processing.
Sensors (Basel, Switzerland)
Feb 2, 2021
The potential benefits of recognising activities of daily living from video for active and assisted living have yet to be fully untapped. These technologies can be used for behaviour understanding, and lifelogging for caregivers and end users alike. ...
Recycled Iontronic from Discarded Chewed Gum for Personalized Healthcare Monitoring and Intelligent Information Encryption.
ACS applied materials & interfaces
Feb 1, 2021
With the explosive development of smart wearable devices, a serious situation that a large amount of energy waste and environmental pollution caused by electronic discarding needs to be solved urgently. Here, as a throwaway waste material, a chewed g...
Machine Learning Techniques for Personalized Detection of Epileptic Events in Clinical Video Recordings.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Continuous patient monitoring is essential to achieve an effective and optimal patient treatment in the intensive care unit. In the specific case of epilepsy it is the only way to achieve a correct diagnosis and a subsequent optimal medication plan i...
[Artificial intelligence in neurocritical care].
Der Nervenarzt
Jan 24, 2021
Artificial intelligence (AI) has been introduced into medicine and an AI-assisted medicine will be the future that we should help to shape. In particular, supervised, unsupervised, and reinforcement learning will be the main methods to play a role in...
Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities.
Sensors (Basel, Switzerland)
Jan 24, 2021
Remote Patient Monitoring (RPM) has gained great popularity with an aim to measure vital signs and gain patient related information in clinics. RPM can be achieved with noninvasive digital technology without hindering a patient's daily activities and...
Recent Advancements and Future Prospects on E-Nose Sensors Technology and Machine Learning Approaches for Non-Invasive Diabetes Diagnosis: A Review.
IEEE reviews in biomedical engineering
Jan 22, 2021
Diabetes mellitus, commonly measured through an invasive process which although is accurate, has manifold drawbacks especially when multiple reading are required at regular intervals. Accordingly, there is a need to develop a dependable non-invasive ...
An IoT and Fog Computing-Based Monitoring System for Cardiovascular Patients with Automatic ECG Classification Using Deep Neural Networks.
Sensors (Basel, Switzerland)
Dec 21, 2020
Telemedicine and all types of monitoring systems have proven to be a useful and low-cost tool with a high level of applicability in cardiology. The objective of this work is to present an IoT-based monitoring system for cardiovascular patients. The s...
Using Convolutional Neural Networks with Multiple Thermal Sensors for Unobtrusive Pose Recognition.
Sensors (Basel, Switzerland)
Dec 4, 2020
The desire to remain living in one's own home rather than a care home by those in need of 24/7 care is one that requires a level of understanding for the actions of an environment's inhabitants. This can potentially be accomplished with the ability t...
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