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1	Energy-Efficient Detection of Atrial Fibrillation in the Context of Resource-Restrained Devices Kheffache, Mansour January 2019 (has links) eHealth is a recently emerging practice at the intersection between the ICT and healthcare fields where computing and communication technology is used to improve the traditional healthcare processes or create new opportunities to provide better health services, and eHealth can be considered under the umbrella of the Internet of Things. A common practice in eHealth is the use of machine learning for a computer-aided diagnosis, where an algorithm would be fed some biomedical signal to provide a diagnosis, in the same way a trained radiologist would do. This work considers the task of Atrial Fibrillation detection and proposes a novel range of algorithms to achieve energy-efficiency. Based on our working hypothesis, that computationally simple operations and low-precision data types are key for energy-efficiency, we evaluate various algorithms in the context of resource-restrained health-monitoring wearable devices. Finally, we assess the sustainability dimension of the proposed solution. IoT machine learning atrial fibrillation ECG energy-efficiency hyperdimensional computing stochastic computing RVFL edge computing Computer and Information Sciences Data- och informationsvetenskap
2	Supervision : Object motion interpretation using hyperdimensional computing based on object detection run on the edge Andersson Svensson, Albin January 2022 (has links) This thesis demonstrates a technique for developing efficient applications interpreting spacial deep learning output using Hyper Dimensional Computing (HDC), also known as Vector Symbolic Architecture (VSA). As a part of the application demonstration, a novel preprocessing technique for motion using state machines and spacial semantic pointers will be explained. The application will be evaluated and run on a Google Coral edge TPU interpreting real time inference of a compressed object detection model. Machine learning Object detection Motion Interpretation Hyperdimensional Computing Vector Symbolic Architecture Computer Systems Datorsystem Embedded Systems Inbäddad systemteknik Robotics Robotteknik och automation Signal Processing Signalbehandling

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Energy-Efficient Detection of Atrial Fibrillation in the Context of Resource-Restrained Devices

Supervision : Object motion interpretation using hyperdimensional computing based on object detection run on the edge