Essays about: "ecg features"

Showing result 1 - 5 of 13 essays containing the words ecg features.

1. 1. Assessing the market possibilities and productization of ambulatory ECG-devices in the Business to Consumer space

   University essay from Lunds universitet/Produktionsekonomi

   Author : Morgan Bryer; Anton Palmén; [2023]
   Keywords : ECG; Ambulatory ECG; Medical technology; remote monitoring; B2M.; Technology and Engineering;

   Abstract : There is currently a shift in the healthcare sector moving towards remote monitoring, meaning that monitoring of diseases and other issues is moving out of hospitals and into people's homes with the use of medical technology. One of the fastest-growing at-home monitoring solutions is the ECG device, especially due to the fact that cardiovascular diseases are the leading cause of death worldwide. READ MORE

3. 2. Automatic classification of cardiovascular age of healthy people by dynamical patterns of the heart rhythm

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : priya kurian pullolickal; [2022]
   Keywords : Electrocardiogram ECG measures the electrical impulses of the heart. The time inter- val between two successive R peaks measured in millisecond using an ECG is called as an RR-interval. The distribution of the RR-intervals as well as classification of cardiovascu- lar age of healthy people from RR-interval was done in this thesis. For that; the data was preprocessed and time series plots were analyzed from sample dataset. The RR-intervals were then aligned to have the same start time using functions written and then an aver- age RR-interval series for each decade was created. The coefficient of variation was very less for this averaged dataset which concluded that averaging the RR-interval was a good approach. The averaged dataset per age decade as well agreed to the conclusion of the sample data set that the heart rate variability decreases with increasing age. Three clusters of age decade were also visible in the averaged dataset. The kurtosis; skew; mean; me- dian; histograms and Q-Q Plot were calculated for the sample as well as averaged dataset to find the distribution. The values all concluded that the RR-intervals follow Gaussian distribution or mixture of Gaussian distribution. The Poincaré plots showed that the dis- tribution of RR-interval is comet shaped for healthy individuals. The features were ex- tracted from the distribution as well as from the distribution of Discrete Fourier Transform DFT for classifying the age group from RR-intervals. Svitzky-Golay filtering was done to smooth the signal before taking the features from DFT. Random Forest and Support Vector Machine was the machine learning algorithms used to classify the age decade. Later the results were compared using a dataset from physionet that had RR-intervals of individuals suffering from myocardial infraction. The age classification using Random Forest and Sup- port Vector Machine concluded that the Gdańsk dataset using Random Forest Algorithm and three classes gave the highest test accuracy of 59% for the dataset.;

   Abstract : .... READ MORE

4. 3. Digital Signal Characterization for Seizure Detection Using Frequency Domain Analysis

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jing Li; [2021]
   Keywords : Fourier Transform; Wavelet Transform; EEG and ECG Anomaly Detection; Approximate Entropy; Hellinger Distance; Long Short- Term Memory; Fourier Transform; Wavelet Transform; EEG och ECG Anomalidetektion; Approximativ Entropi; Hellinger Distans; Lång Korttidsminne;

   Abstract : Nowadays, a significant proportion of the population in the world is affected by cerebral diseases like epilepsy. In this study, frequency domain features of electroencephalography (EEG) signals were studied and analyzed, with a view being able to detect epileptic seizures more easily. READ MORE

5. 4. Cardiovascular effects of exposure to biodiesel exhaust

   University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

   Author : Youna Marc-Derrien; [2021]
   Keywords : photoplethysmography; electrocardiography; signal processing; pulse decomposition analysis; heart rate variability; pulse transit time; biodiesel; arterial stiffness; Technology and Engineering;

   Abstract : Context: Urban air pollution is considered a significant factor contributing to increased respiratory and cardiovascular mortality in cities. Many studies focused on the relationship between exposure to diesel exhaust and human health effects, demonstrating the toxicity of such gases. READ MORE

6. 5. Automatic Prediction of Human Age based on Heart Rate Variability Analysis using Feature-Based Methods

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Yusur Al-Mter; [2020]
   Keywords : Supervised learning; Classification; Ensemble; Support Vector Machines; Heart Rate Variability; Extreme Gradient Boosting; Random Forest;

   Abstract : Heart rate variability (HRV) is the time variation between adjacent heartbeats. This variation is regulated by the autonomic nervous system (ANS) and its two branches, the sympathetic and parasympathetic nervous system. READ MORE