Essays about: "ECG Disease Diagnosis."

Showing result 1 - 5 of 6 essays containing the words ECG Disease Diagnosis..

  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. Feature Extraction for the Cardiovascular Disease Diagnosis

    University essay from Mittuniversitetet/Avdelningen för informationssystem och -teknologi

    Author : Yu Tang; [2018]
    Keywords : ECG; Feature Extraction; CWT; Unsupervised Learning; Clustering; User interface; Feature Visualization; ECG Disease Diagnosis.;

    Abstract : Cardiovascular disease is a serious life-threatening disease. It can occur suddenly and progresses rapidly. Finding the right disease features in the early stage is important to decrease the number of deaths and to make sure that the patient can fully recover. READ MORE

  4. 3. Förmaksflimmer hos häst

    University essay from SLU/Dept. of Biomedical Sciences and Veterinary Public Health

    Author : Maria Andersson; [2014]
    Keywords : förmaksflimmer; häst; fysiologi; patofysiologi; etiologi; behandling; atrial fibrillation; horse; physiology; pathophysiology; etiology; treatment;

    Abstract : Förmaksflimmer är en vanlig arytmi hos häst vars främsta symtom är nedsatt prestation. Många hästar kan emellertid leva asymtomatiskt och flimret upptäcks som ett bifynd. Denna litteraturstudie syftar till att redogöra för fysiologi, patofysiologi, uppkomst och behandling av förmaksflimmer hos häst. READ MORE

  5. 4. Atrial Fibrillation Detection Algorithm Evaluation and Implementation in Java

    University essay from KTH/Skolan för teknik och hälsa (STH)

    Author : Lucas Dizon; Martin Johansson; [2014]
    Keywords : Atrial Fibrillation; AF; Detection algorithm; AF detection; Algorithm evaluation; Matlab; Java; Electrocardiogram; ECG; Heart rate variability; HRV; Signal processing; Pre processing; Noise reduction; Baseline wander; powerline interference; wavelet transform; DWT; R-peak detection; Pan-tompkins; HRV cleaning; Feature selection; U-test; SDANN; SDNN; CV; RMSSD; PNN50; TINN; LF; HF; Logistic regression; CV algorithm; Receiver operating characteristics; ROC; Classification; Confusion matrix; Leave-one-out; cross validation; Statgraphics; Förmaksflimmer; detekteringsalgoritm; evaluering; Matlab; Java; elektrokardiogram; EKG; Hjärtfrekvens variabilitet; Signalbehandling; Brusreducering; Logistisk regression; Variationskoefficient; Klassificering;

    Abstract : Atrial fibrillation is a common heart arrhythmia which is characterized by a missing or irregular contraction of the atria. The disease is a risk factor for other more serious diseases and the total medical costs in society are extensive. Therefore it would be beneficial to improve and optimize the prevention and detection of the disease. READ MORE

  6. 5. Parallel Heart Analysis Algorithms Utilizing Multi-core for Optimized Medical Data Exchange over Voice and Data Networks

    University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)

    Author : Fazal Karim; [2011]
    Keywords : Electrocardiogram ECG analysis; parallel algorithms modules; multi-core architecture; real-time analysis; health-care applications; 12-lead ECG;

    Abstract : In today’s research and market, IT applications for health-care are gaining huge interest of both IT and medical researchers. Cardiovascular diseases (CVDs) are considered the largest cause of death for both men and women regardless of ethnic backgrounds. READ MORE