AIMC Topic: Wearable Electronic Devices

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Activity-Aware Deep Cognitive Fatigue Assessment using Wearables.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Cognitive fatigue is a common problem among workers which has become an increasing global problem. While existing multi-modal wearable sensors-aided automatic cognitive fatigue monitoring tools have focused on physical and physiological sensors (ECG,...
Cognition Humans Neural Networks, Computer Wearable Electronic Devices
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End-to-End Versatile Human Activity Recognition with Activity Image Transfer Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Transfer learning is a common solution to address cross-domain identification problems in Human Activity Recognition (HAR). Most existing approaches typically perform cross-subject transferring while ignoring transfers between different sensors or bo...
Recognition, Psychology Machine Learning Humans Neural Networks, Computer Wearable Electronic Devices Human Activities
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ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Continuous and multimodal stress detection has been performed recently through wearable devices and machine learning algorithms. However, a well-known and important challenge of working on physiological signals recorded by conventional monitoring dev...
Algorithms Wearable Electronic Devices Humans Movement Machine Learning
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Predicting the Progression of Parkinson's Disease MDS-UPDRS-III Motor Severity Score from Gait Data 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 Nov 1, 2021
Parkinson's disease (PD) is a common neurodegenerative disease presenting with both motor and non-motor symptoms. Among PD motor symptoms, gait impairments are common and evolve over time. PD motor symptoms severity can be evaluated using clinical sc...
Parkinson Disease Neurodegenerative Diseases Gait Humans Deep Learning Wearable Electronic Devices
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The growing role of artificial intelligence and of wearable devices in the management of arrhythmias.

European heart journal Oct 7, 2021
Humans Artificial Intelligence Wearable Electronic Devices Arrhythmias, Cardiac
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Disentangling data dependency using cross-validation strategies to evaluate prediction quality of cattle grazing activities using machine learning algorithms and wearable sensor data.

Journal of animal science Sep 1, 2021
Wearable sensors have been explored as an alternative for real-time monitoring of cattle feeding behavior in grazing systems. To evaluate the performance of predictive models such as machine learning (ML) techniques, data cross-validation (CV) approa...
Machine Learning Algorithms Animals Neural Networks, Computer Linear Models Male Wearable Electronic Devices Cattle
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'Rise of the machines': the next frontier in individualized medicine.

Cardiovascular research Aug 29, 2021
Models, Cardiovascular Humans Precision Medicine Machine Learning Telemedicine Diagnosis, Computer-Assisted Forecasting Diffusion of Innovation Wearable Electronic Devices Therapy, Computer-Assisted
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Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)-Driven Approach for Early Diagnosis of Late-Onset Alzheimer's Disease.

Journal of molecular neuroscience : MN Jul 1, 2021
Case-Control Studies Late Onset Disorders Wearable Electronic Devices Mobile Applications Clinical Trial Protocols as Topic Cognition Early Diagnosis Prospective Studies Observational Studies as Topic Asian People Humans Hong Kong Mutation Alzheimer Disease Memory Models, Biological Biomarkers Artificial Intelligence Medical History Taking Ethnicity Behavior Language Patient Selection Mental Status and Dementia Tests
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A deep learning-based medication behavior monitoring system.

Mathematical biosciences and engineering : MBE Jan 28, 2021
The internet of things (IoT) and deep learning are emerging technologies in diverse research fields, including the provision of IT services in medical domains. In the COVID-19 era, intelligent medication behavior monitoring systems for stable patient...
Computer Systems Medication Adherence Monitoring, Physiologic Deep Learning Biomedical Engineering Humans Equipment Design Software Wearable Electronic Devices Assessment of Medication Adherence Neural Networks, Computer Pandemics COVID-19 Drug Treatment Directly Observed Therapy SARS-CoV-2 Internet of Things
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Wearable on-device deep learning system for hand gesture recognition based on FPGA accelerator.

Mathematical biosciences and engineering : MBE Nov 23, 2020
Gesture recognition is critical in the field of Human-Computer Interaction, especially in healthcare, rehabilitation, sign language translation, etc. Conventionally, the gesture recognition data collected by the inertial measurement unit (IMU) sensor...
Equipment Design Deep Learning Humans Wearable Electronic Devices Neural Networks, Computer Gestures
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