Essays about: "Heart Monitoring"
Showing result 1 - 5 of 87 essays containing the words Heart Monitoring.
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1. Heart rate estimation from wrist-PPG signals in activity by deep learning methods
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the context of health improving, the measurement of vital parameters such as heart rate (HR) can provide solutions for health monitoring, prevention and screening for certain chronic diseases. Among the different technologies for HR measuring, photoplethysmography (PPG) technique embedded in smart watches is the most commonly used in the field of consumer electronics since it is comfortable and does not require any user intervention. READ MORE
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2. 3D geospatial data requirements for simulating noise using the Nord2000 model: Case study of the impact of building façade types and roof configurations on simulated traffic noise levels
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : The European Union implements the Environmental Noise Directive (END), which offers a framework for evaluating and assessing environmental noise. All EU members are required to create strategic noise maps to inform the public about noise pollution and its effects. READ MORE
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3. Estimation of respiratory frequency from Heart Rate Variability
University essay from Lunds universitet/Matematisk statistikAbstract : In this master's thesis the ability to estimate the respiratory frequency from heart rate variability measurement is analyzed. The goal was to implement a solution that is easily transferable to real time. READ MORE
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4. Atrial fibrillation burden and the risk of all-cause mortality : A systematic review
University essay from Örebro universitet/Institutionen för medicinska vetenskaperAbstract : Background: Globally, atrial fibrillation (AF) is the most common cardiac arrhythmia. AF related complications include stroke, heart failure and death. AF burden, preferably defined as total time an individual is in AF during a specified monitoring period, is a term being mentioned more frequently. READ MORE
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5. Straight to the Heart : Classification of Multi-Channel ECG-signals using MiniROCKET
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine Learning (ML) has revolutionized various domains, with biomedicine standing out as a major beneficiary. In the realm of biomedicine, Convolutional Neural Networks (CNNs) have notably played a pivotal role since their inception, particularly in applications such as time-series classification. READ MORE