Early Detection of Atrial Fibrillation Based on ECG Signals
Atrial fibrillation, often called AF is considered to be the most common type of cardiac arrhythmia, which is a major healthcare challenge. Early detection of AF and the appropriate treatment is crucial if the symptoms seem to be consistent and persistent. This research work focused on the developme...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-02-01
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| Series: | Bioengineering |
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| Online Access: | https://www.mdpi.com/2306-5354/7/1/16 |
| _version_ | 1827841127115390976 |
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| author | Nuzhat Ahmed Yong Zhu |
| author_facet | Nuzhat Ahmed Yong Zhu |
| author_sort | Nuzhat Ahmed |
| collection | DOAJ |
| description | Atrial fibrillation, often called AF is considered to be the most common type of cardiac arrhythmia, which is a major healthcare challenge. Early detection of AF and the appropriate treatment is crucial if the symptoms seem to be consistent and persistent. This research work focused on the development of a heart monitoring system which could be considered as a feasible solution in early detection of potential AF in real time. The objective was to bridge the gap in the market for a low-cost, at home use, noninvasive heart health monitoring system specifically designed to periodically monitor heart health in subjects with AF disorder concerns. The main characteristic of AF disorder is the considerably higher heartbeat and the varying period between observed R waves in electrocardiogram (ECG) signals. This proposed research was conducted to develop a low cost and easy to use device that measures and analyzes the heartbeat variations, varying time period between successive R peaks of the ECG signal and compares the result with the normal heart rate and RR intervals. Upon exceeding the threshold values, this device creates an alert to notify about the possible AF detection. The prototype for this research consisted of a Bitalino ECG sensor and electrodes, an Arduino microcontroller, and a simple circuit. The data was acquired and analyzed using the Arduino software in real time. The prototype was used to analyze healthy ECG data and using the MIT-BIH database the real AF patient data was analyzed, and reasonable threshold values were found, which yielded a reasonable success rate of AF detection. |
| first_indexed | 2024-03-12T07:46:56Z |
| format | Article |
| id | doaj.art-76bbc0609b1f41ed8825a54b10cc88bf |
| institution | Directory Open Access Journal |
| issn | 2306-5354 |
| language | English |
| last_indexed | 2024-03-12T07:46:56Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj.art-76bbc0609b1f41ed8825a54b10cc88bf2023-09-02T20:57:07ZengMDPI AGBioengineering2306-53542020-02-01711610.3390/bioengineering7010016bioengineering7010016Early Detection of Atrial Fibrillation Based on ECG SignalsNuzhat Ahmed0Yong Zhu1Bioengineering 4+1 Program, Wilkes University, Wilkes-Barre, PA 18701, USAMechanical Engineering, Wilkes University, Wilkes-Barre, PA 18701, USAAtrial fibrillation, often called AF is considered to be the most common type of cardiac arrhythmia, which is a major healthcare challenge. Early detection of AF and the appropriate treatment is crucial if the symptoms seem to be consistent and persistent. This research work focused on the development of a heart monitoring system which could be considered as a feasible solution in early detection of potential AF in real time. The objective was to bridge the gap in the market for a low-cost, at home use, noninvasive heart health monitoring system specifically designed to periodically monitor heart health in subjects with AF disorder concerns. The main characteristic of AF disorder is the considerably higher heartbeat and the varying period between observed R waves in electrocardiogram (ECG) signals. This proposed research was conducted to develop a low cost and easy to use device that measures and analyzes the heartbeat variations, varying time period between successive R peaks of the ECG signal and compares the result with the normal heart rate and RR intervals. Upon exceeding the threshold values, this device creates an alert to notify about the possible AF detection. The prototype for this research consisted of a Bitalino ECG sensor and electrodes, an Arduino microcontroller, and a simple circuit. The data was acquired and analyzed using the Arduino software in real time. The prototype was used to analyze healthy ECG data and using the MIT-BIH database the real AF patient data was analyzed, and reasonable threshold values were found, which yielded a reasonable success rate of AF detection.https://www.mdpi.com/2306-5354/7/1/16atrial fibrillation (af)ecg signalbiosensorheart health monitoringlow-cost device |
| spellingShingle | Nuzhat Ahmed Yong Zhu Early Detection of Atrial Fibrillation Based on ECG Signals Bioengineering atrial fibrillation (af) ecg signal biosensor heart health monitoring low-cost device |
| title | Early Detection of Atrial Fibrillation Based on ECG Signals |
| title_full | Early Detection of Atrial Fibrillation Based on ECG Signals |
| title_fullStr | Early Detection of Atrial Fibrillation Based on ECG Signals |
| title_full_unstemmed | Early Detection of Atrial Fibrillation Based on ECG Signals |
| title_short | Early Detection of Atrial Fibrillation Based on ECG Signals |
| title_sort | early detection of atrial fibrillation based on ecg signals |
| topic | atrial fibrillation (af) ecg signal biosensor heart health monitoring low-cost device |
| url | https://www.mdpi.com/2306-5354/7/1/16 |
| work_keys_str_mv | AT nuzhatahmed earlydetectionofatrialfibrillationbasedonecgsignals AT yongzhu earlydetectionofatrialfibrillationbasedonecgsignals |