Improving the Estimation of Epicardial Activation Times Using Spatial Information

Atrial fibrillation is a common cardiovascular disease, affecting the regular beating of the heart through chaotic contraction of the heart's upper chambers. On its own, the condition—increasingly prevalent among the elderly—is not life threatening, but it leads to an increased risk of stroke and heart failure. As of yet, there is no consensus...

IoT-Based Smart Classroom: Server: BSc Graduation Project

In this work, we propose an IoT smart classroom framework which will be the base for smart classroom and hybrid teaching applications. The prototype introduces sensor readout capabilities, with which temperature, humidity, and loudness in a classroom can be monitored. Furthermore, the prototype introduces capabilities to collect and display...

IoT-Based Smart Classroom: Hardware, BSc Graduation Project

In this work, we propose an IoT smart classroom framework which will be the base for smart classroom and hybrid teaching applications. The prototype introduces sensor readout capabilities, which can be used to monitor: temperature, humidity, and loudness in a classroom. Furthermore, the prototype introduces capabilities to collect and display...

Facilitating healthcare using smartwatches: Smartwatch data acquisition platform

This report details the design and implementation of a subsystem providing a web-based platform for smartwatch data acquisition. A smartwatch application is developed to read out the accelerometer, gyroscope and heart rate sensor on the smartwatch and transmit the sensor data to the platform. A platform is developed to receive the data and store...

Facilitating healthcare using smartwatches

This report entails one of two subsystems in a joint project to provide a web-based platform for smartwatch data acquisition, for applications in healthcare. In this work, we design and implement algorithms for human activity recognition using various machine learning approaches and test them on data acquired online as well as using our own...

Digital Signal Processing of PPG: for evaluation of Atrial Fibrillation

The performance of wearable Photoplethysmogram (PPG) sensors is highly influenced by noise. This thesis describes the methods and results of designing a filtering systemfor PPG in context of Atrial Fibrillation (AF) detection. The developed work is an adaptive filtering system combined with a robust heart rate detection mechanism for validation...

An ECG- and PPG-Based Wearable Atrial Fibrillation Detection Device: Signal Acquisition

When symptoms of atrial fibrillation (AF), a common cardiac arrhythmia, are experienced, a Holter monitor or event recorder is used for official diagnosis. Apart from the fact that these devices are experienced as inconvenient, AF can already manifest damage in a pre-symptomatic phase. This thesis is aimed at developing a method for recording...

Classification Algorithm for Early Detection of Atrial Fibrillation: The Development of a Supervised Learning Method Using Photoplethysmography Signals for an ARM Processor

Atrial fibrillation (AF) is the most common type of cardiac arrhythmia occurring in around 0.5% of the world population. AF is characterized by the rapid and irregular beating of the atrial chambers of the heart, which can cause lead to strokes and other heart-failures. To prevent these consequences the early detection of AF is paramount. Using...