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Full-Text Articles in Other Analytical, Diagnostic and Therapeutic Techniques and Equipment

A 12-Lead Electrocardiogram Database For Arrhythmia Research Covering More Than 10,000 Patients, Jianwei Zhang, Jianming Zhang, Sidy Daniako, Hai Yao, Hangyuan Guo, Cyril Rakovski Feb 2020

A 12-Lead Electrocardiogram Database For Arrhythmia Research Covering More Than 10,000 Patients, Jianwei Zhang, Jianming Zhang, Sidy Daniako, Hai Yao, Hangyuan Guo, Cyril Rakovski

Mathematics, Physics, and Computer Science Faculty Articles and Research

This newly inaugurated research database for 12-lead electrocardiogram signals was created under the auspices of Chapman University and Shaoxing People’s Hospital (Shaoxing Hospital Zhejiang University School of Medicine) and aims to enable the scientific community in conducting new studies on arrhythmia and other cardiovascular conditions. Certain types of arrhythmias, such as atrial fibrillation, have a pronounced negative impact on public health, quality of life, and medical expenditures. As a non-invasive test, long term ECG monitoring is a major and vital diagnostic tool for detecting these conditions. This practice, however, generates large amounts of data, the analysis of which requires considerable …


A Comparative Study Of Machine Learning Approaches For Human Activity Recognition, Loknath Ambati, Omar El-Gayar Feb 2020

A Comparative Study Of Machine Learning Approaches For Human Activity Recognition, Loknath Ambati, Omar El-Gayar

SDSU Data Science Symposium

The goal of this project is to study the performance of Machine Learning (ML) techniques used in Human Activity Recognition (HAR). Specifically, we aim to 1) evaluate and benchmark the performance of various ML techniques used for HAR against established ML performance metrics using multiple datasets, and 2) map the characteristics of various HAR datasets to appropriate ML techniques. From a theoretical perspective, the research will shed light into the strengths and weaknesses of various ML techniques that can provide insights into future research aimed at improving these techniques for HAR. From a practical perspective, the research provides guidance into …


Listening To The Patient: A Typology Of Contextual Red Flags In Disease Management Encounters, Amy E. Binns-Calvey, Gunjan Sharma, Naomi Ashley, Brendan Kelly, Frances M. Weaver, Saul J. Weiner Jan 2020

Listening To The Patient: A Typology Of Contextual Red Flags In Disease Management Encounters, Amy E. Binns-Calvey, Gunjan Sharma, Naomi Ashley, Brendan Kelly, Frances M. Weaver, Saul J. Weiner

Journal of Patient-Centered Research and Reviews

Purpose: Patients send clues, often unwittingly, when they are grappling with a life challenge that complicates their care. For instance, a patient may lose control of a previously well-managed chronic condition or start missing appointments. When explored, these clues help clinicians uncover the life circumstance impacting the individual’s ability to manage their health and health care. Such clues are termed “contextual red flags.” Effective care requires recognizing them, asking about them, and customizing the care plan where feasible. We sought to develop a typology of contextual red flags by analyzing audio recordings along with the medical records of encounters between …


Oral Contraceptives As Possible Acl Injury Prevention Method, Haley Schweizer Jan 2020

Oral Contraceptives As Possible Acl Injury Prevention Method, Haley Schweizer

Capstone Showcase

ABSTRACT

Introduction: Anterior Cruciate Ligament (ACL) injuries are an upsetting setback for many athletes that require a long and costly recovery process. The injury rates are four times greater in women than men. Preventative measures that help to prevent ACL injuries are limited to stretching and strengthening. Therefore, this review aims to investigate if oral contraceptive [I] usage provides a possible new avenue for prevention of ACL injury [O] in young female athletes (ages 18-30) [P] compared to those that do not take oral contraceptives [C].

Methods: A literature review was performed though PubMed, Google Scholar, SCOPUS Database, and ClinicalKey …