Cardiovascular Disease (CVD) is one of the most catastrophic and life threatening health issue nowadays. Early detection of CVD is an important solution to reduce its devastating effects on health. In this paper, an efficient CVD detection algorithm is identified. The algorithm uses patient demographic data as inputs, along with several ECG signal features extracted automatically through signal processing techniques. Cross-validation results show a 98.29 % accuracy for the decision tree classification algorithm. The algorithm has been integrated into a web based system that can be used at anytime by patients to check their heart health status. At one end of the system is the ECG sensor attached to the patient's body, while at the other end is the detection algorithm. Communication between the two ends is done through an Android application.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s10916-015-0290-7 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Evaluation of dentists' clinical practices and antibiotic use in managing endodontic emergencies in Karachi, Pakistan: a cross-sectional survey.
BMC Oral Health
December 2024
Department of Surgery, Aga Khan University Hospital, Karachi, Pakistan.
Background: Endodontic emergencies, often presented as acute pain or swelling, constitute a substantial challenge in dental practice. While effective management emphasizes prompt intervention, antibiotics are typically indicated only when systemic signs and symptoms are present. There is limited research exists on evaluating the knowledge and clinical approach of dental practitioners in managing endodontic emergencies from our region of the world.
View Article and Find Full Text PDFA systematic review of the comparative effects of sound and music interventions for intensive care unit patients' outcomes.
Aust Crit Care
December 2024
Department of Music, Canadian Centre for Ethnomusicology (CCE), Department of Performing Arts, Faculty of Communication and Media Studies, University for Development Studies, Ghana; Department of Music, Faculty of Arts, University of Alberta, 3-98 Fine Arts Building, Edmonton, AB, T6G 2C9, Canada. Electronic address:
Background: Despite syntheses of evidence showing efficacy of music intervention for improving psychological and physiological outcomes in critically ill patients, interventions that include nonmusic sounds have not been addressed in reviews of evidence. It is unclear if nonmusic sounds in the intensive care unit (ICU) can confer benefits similar to those of music.
Objective: The aim of this study was to summarise and contrast available evidence on the effect of music and nonmusic sound interventions for the physiological and psychological outcomes of ICU patients based on the results of randomised controlled trials.
Introduction: Available therapies for peripheral nerve injury (PNI) include surgical and non-surgical treatments. Surgical treatment includes neurorrhaphy, grafting (allografts and autografts) and tissue-engineered grafting (artificial nerve guide conduits), while non-surgical treatment methods include electrical stimulation, magnetic stimulation, laser phototherapy and administration of nerve growth factors. However, the treatments currently available to best manage the different PNI manifestations remain undetermined.
View Article and Find Full Text PDFProbabilistic prediction of Phosphate ion Adsorption onto Biochar Materials Using a Large Dataset and Online Deployment.
Chemosphere
December 2024
Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, NJ, 07030, USA. Electronic address:
Phosphate (PO(III)) contamination in water bodies poses significant environmental challenges, necessitating efficient and accurate methods to predict and optimize its removal. The current study addresses this issue by predicting the adsorption capacity of PO(III) ions onto biochar-based materials using five probabilistic machine learning models: eXtreme Gradient Boosting LSS (XGBoostLSS), Natural Gradient Boosting, Bayesian Neural Networks (NN), Probabilistic NN, and Monte-Carlo Dropout NN. Utilizing a dataset of 2952 data points with 16 inputs, XGBoostLSS demonstrated the highest R (0.
View Article and Find Full Text PDFGLP-1 RECEPTOR AGONISTS USE AND INCIDENCE OF GLAUCOMA: A SYSTEMATIC REVIEW AND META-ANALYSIS: GLP-1 receptor agonists use and incidence of glaucoma.
Am J Ophthalmol
December 2024
Glaucoma Service, Wills Eye Hospital, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA, USA.
Introduction: In diabetics, glucagon-like peptide 1 (GLP-1) receptor agonists (RA) may protect against microvascular alterations and oxidative stress, both of which have been implicated in glaucoma. Multiple studies suggest a possible relation between GLP-1 RA use and the development of glaucoma. This study performs a systematic review of the literature regarding the incidence of glaucoma development in type 2 diabetes patients treated with GLP-1 receptor agonists compared to a control group.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!