An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance
Heartbeat detection for ambulatory cardiac monitoring is more challenging as the level of noise and artefacts induced by daily-life activities are considerably higher than monitoring in a hospital setting. It is valuable to understand the relationship between the characteristics of electrocardiogram...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-06-01
|
| Series: | Bioengineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5354/7/2/53 |
| _version_ | 1797565983022383104 |
|---|---|
| author | Ziti Fariha Mohd Apandi Ryojun Ikeura Soichiro Hayakawa Shigeyoshi Tsutsumi |
| author_facet | Ziti Fariha Mohd Apandi Ryojun Ikeura Soichiro Hayakawa Shigeyoshi Tsutsumi |
| author_sort | Ziti Fariha Mohd Apandi |
| collection | DOAJ |
| description | Heartbeat detection for ambulatory cardiac monitoring is more challenging as the level of noise and artefacts induced by daily-life activities are considerably higher than monitoring in a hospital setting. It is valuable to understand the relationship between the characteristics of electrocardiogram (ECG) noises and the beat detection performance in the cardiac monitoring system. For this purpose, three well-known algorithms for the beat detection process were re-implemented. The beat detection algorithms were validated using two types of ambulatory datasets, which were the ECG signal from the MIT-BIH Arrhythmia Database and the simulated noise-contaminated ECG signal with different intensities of baseline wander (BW), muscle artefact (MA) and electrode motion (EM) artefact from the MIT-BIH Noise Stress Test Database. The findings showed that signals contaminated with noise and artefacts decreased the potential of beat detection in ambulatory signal with the poorest performance noted for ECG signal affected by the EM artefacts. In conclusion, none of the algorithms was able to detect all QRS complexes without any false detection at the highest level of noise. The EM noise influenced the beat detection performance the most in comparison to the MA and BW noises that resulted in the highest number of misdetections and false detections. |
| first_indexed | 2024-03-10T19:20:22Z |
| format | Article |
| id | doaj.art-e756bbdcd63245e8b477138aa4be6335 |
| institution | Directory Open Access Journal |
| issn | 2306-5354 |
| language | English |
| last_indexed | 2024-03-10T19:20:22Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj.art-e756bbdcd63245e8b477138aa4be63352023-11-20T03:03:52ZengMDPI AGBioengineering2306-53542020-06-01725310.3390/bioengineering7020053An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection PerformanceZiti Fariha Mohd Apandi0Ryojun Ikeura1Soichiro Hayakawa2Shigeyoshi Tsutsumi3Graduate School of Engineering, Mie University, Mie 514-8507, JapanDepartment of Mechanical Engineering, Graduate School of Engineering, Mie University, Mie 514-8507, JapanDepartment of Mechanical Engineering, Graduate School of Engineering, Mie University, Mie 514-8507, JapanDepartment of Mechanical Engineering, Graduate School of Engineering, Mie University, Mie 514-8507, JapanHeartbeat detection for ambulatory cardiac monitoring is more challenging as the level of noise and artefacts induced by daily-life activities are considerably higher than monitoring in a hospital setting. It is valuable to understand the relationship between the characteristics of electrocardiogram (ECG) noises and the beat detection performance in the cardiac monitoring system. For this purpose, three well-known algorithms for the beat detection process were re-implemented. The beat detection algorithms were validated using two types of ambulatory datasets, which were the ECG signal from the MIT-BIH Arrhythmia Database and the simulated noise-contaminated ECG signal with different intensities of baseline wander (BW), muscle artefact (MA) and electrode motion (EM) artefact from the MIT-BIH Noise Stress Test Database. The findings showed that signals contaminated with noise and artefacts decreased the potential of beat detection in ambulatory signal with the poorest performance noted for ECG signal affected by the EM artefacts. In conclusion, none of the algorithms was able to detect all QRS complexes without any false detection at the highest level of noise. The EM noise influenced the beat detection performance the most in comparison to the MA and BW noises that resulted in the highest number of misdetections and false detections.https://www.mdpi.com/2306-5354/7/2/53heartbeat detectionnoisy signalambulatory ECG signalECG analysiscardiac monitoring |
| spellingShingle | Ziti Fariha Mohd Apandi Ryojun Ikeura Soichiro Hayakawa Shigeyoshi Tsutsumi An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance Bioengineering heartbeat detection noisy signal ambulatory ECG signal ECG analysis cardiac monitoring |
| title | An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance |
| title_full | An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance |
| title_fullStr | An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance |
| title_full_unstemmed | An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance |
| title_short | An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance |
| title_sort | analysis of the effects of noisy electrocardiogram signal on heartbeat detection performance |
| topic | heartbeat detection noisy signal ambulatory ECG signal ECG analysis cardiac monitoring |
| url | https://www.mdpi.com/2306-5354/7/2/53 |
| work_keys_str_mv | AT zitifarihamohdapandi ananalysisoftheeffectsofnoisyelectrocardiogramsignalonheartbeatdetectionperformance AT ryojunikeura ananalysisoftheeffectsofnoisyelectrocardiogramsignalonheartbeatdetectionperformance AT soichirohayakawa ananalysisoftheeffectsofnoisyelectrocardiogramsignalonheartbeatdetectionperformance AT shigeyoshitsutsumi ananalysisoftheeffectsofnoisyelectrocardiogramsignalonheartbeatdetectionperformance AT zitifarihamohdapandi analysisoftheeffectsofnoisyelectrocardiogramsignalonheartbeatdetectionperformance AT ryojunikeura analysisoftheeffectsofnoisyelectrocardiogramsignalonheartbeatdetectionperformance AT soichirohayakawa analysisoftheeffectsofnoisyelectrocardiogramsignalonheartbeatdetectionperformance AT shigeyoshitsutsumi analysisoftheeffectsofnoisyelectrocardiogramsignalonheartbeatdetectionperformance |