Factor Analysis for the Performance Impacts of Real-Time Ventricular Fibrillation Detection on Microcontroller
Early research focused on developing effective algorithms for Ventricular fibrillation (VF) detection; while most of the evaluations have been conducted offline with prefiltered data sets, practical application requires these tests to be performed in real time. Because there are many factors that ma...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10328973/ |
| _version_ | 1797243481813417984 |
|---|---|
| author | Jungyoon Kim Jaehyun Park Misun Kang |
| author_facet | Jungyoon Kim Jaehyun Park Misun Kang |
| author_sort | Jungyoon Kim |
| collection | DOAJ |
| description | Early research focused on developing effective algorithms for Ventricular fibrillation (VF) detection; while most of the evaluations have been conducted offline with prefiltered data sets, practical application requires these tests to be performed in real time. Because there are many factors that may impact detection effectiveness, it is important to understand the impact of factors that improve detection accuracy. In this study, we developed an integrated simulated environment using IAR Embedded Workbench software to build an embedded system using a MSP430 microcontroller and Visual studio tool for S/W build; we then used this system to conduct real-time experiments for evaluating five lightweight VF detection algorithms and to examine factors that may impact their performance in terms of sensitivity, specificity, positive-predictivity, accuracy and computational time. The results were cross-validated using a prototype of a wearable Electrocardiogram (ECG) system developed by this study. The study showed that 1) the chosen detection algorithm, data filtering, and window size all have a significant impact on the performance of real-time VF detection; among these, the detection algorithm had the greatest impact so it must be carefully selected; 2) it is important to select the proper threshold value that affects tradeoffs in performance metrics. Among the five algorithms that this study evaluated, the Time Delay (TD) algorithm outperformed the others independent of window size or filtering method. Considering the tradeoff between robustness and efficiency, TD is preferable because detection accuracy and robustness are more critical. |
| first_indexed | 2024-04-24T18:55:48Z |
| format | Article |
| id | doaj.art-fe3f36797382457394db9b0d2dca21e9 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T18:55:48Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-fe3f36797382457394db9b0d2dca21e92024-03-26T17:44:22ZengIEEEIEEE Access2169-35362024-01-0112422334224710.1109/ACCESS.2023.333727310328973Factor Analysis for the Performance Impacts of Real-Time Ventricular Fibrillation Detection on MicrocontrollerJungyoon Kim0https://orcid.org/0000-0001-5013-446XJaehyun Park1https://orcid.org/0000-0002-5264-6941Misun Kang2https://orcid.org/0000-0002-5264-6941Department of Computer Science, Kent State University, Kent, OH, USADepartment of Industrial and Management Engineering, Incheon National University (INU), Incheon, Republic of KoreaDepartment of Computer Software Engineering, Soonchunhyang University, Asan-si, Chungcheongnam-do, Republic of KoreaEarly research focused on developing effective algorithms for Ventricular fibrillation (VF) detection; while most of the evaluations have been conducted offline with prefiltered data sets, practical application requires these tests to be performed in real time. Because there are many factors that may impact detection effectiveness, it is important to understand the impact of factors that improve detection accuracy. In this study, we developed an integrated simulated environment using IAR Embedded Workbench software to build an embedded system using a MSP430 microcontroller and Visual studio tool for S/W build; we then used this system to conduct real-time experiments for evaluating five lightweight VF detection algorithms and to examine factors that may impact their performance in terms of sensitivity, specificity, positive-predictivity, accuracy and computational time. The results were cross-validated using a prototype of a wearable Electrocardiogram (ECG) system developed by this study. The study showed that 1) the chosen detection algorithm, data filtering, and window size all have a significant impact on the performance of real-time VF detection; among these, the detection algorithm had the greatest impact so it must be carefully selected; 2) it is important to select the proper threshold value that affects tradeoffs in performance metrics. Among the five algorithms that this study evaluated, the Time Delay (TD) algorithm outperformed the others independent of window size or filtering method. Considering the tradeoff between robustness and efficiency, TD is preferable because detection accuracy and robustness are more critical.https://ieeexplore.ieee.org/document/10328973/Heart attackventricular fibrillation (VF)factor analysisreal-time VF detection |
| spellingShingle | Jungyoon Kim Jaehyun Park Misun Kang Factor Analysis for the Performance Impacts of Real-Time Ventricular Fibrillation Detection on Microcontroller IEEE Access Heart attack ventricular fibrillation (VF) factor analysis real-time VF detection |
| title | Factor Analysis for the Performance Impacts of Real-Time Ventricular Fibrillation Detection on Microcontroller |
| title_full | Factor Analysis for the Performance Impacts of Real-Time Ventricular Fibrillation Detection on Microcontroller |
| title_fullStr | Factor Analysis for the Performance Impacts of Real-Time Ventricular Fibrillation Detection on Microcontroller |
| title_full_unstemmed | Factor Analysis for the Performance Impacts of Real-Time Ventricular Fibrillation Detection on Microcontroller |
| title_short | Factor Analysis for the Performance Impacts of Real-Time Ventricular Fibrillation Detection on Microcontroller |
| title_sort | factor analysis for the performance impacts of real time ventricular fibrillation detection on microcontroller |
| topic | Heart attack ventricular fibrillation (VF) factor analysis real-time VF detection |
| url | https://ieeexplore.ieee.org/document/10328973/ |
| work_keys_str_mv | AT jungyoonkim factoranalysisfortheperformanceimpactsofrealtimeventricularfibrillationdetectiononmicrocontroller AT jaehyunpark factoranalysisfortheperformanceimpactsofrealtimeventricularfibrillationdetectiononmicrocontroller AT misunkang factoranalysisfortheperformanceimpactsofrealtimeventricularfibrillationdetectiononmicrocontroller |