An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia Detection
<p dir="ltr">The absence of cardiovascular disease (CVD) diagnostic and management solutions cause significant morbidity among populations in rural areas and the coronavirus disease of 2019 (COVID-19) emergency. To tackle this problem, in this paper, the development of an Internet of...
محفوظ في:
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| مؤلفون آخرون: | , |
| منشور في: |
2021
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| الموضوعات: | |
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إضافة وسم
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| _version_ | 1864513531044429824 |
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| author | Hassan Ali (3348749) |
| author2 | Hein Htet Naing (17542296) Raziq Yaqub (16488878) |
| author2_role | author author |
| author_facet | Hassan Ali (3348749) Hein Htet Naing (17542296) Raziq Yaqub (16488878) |
| author_role | author |
| dc.creator.none.fl_str_mv | Hassan Ali (3348749) Hein Htet Naing (17542296) Raziq Yaqub (16488878) |
| dc.date.none.fl_str_mv | 2021-08-04T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/electronics10161871 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/An_IoT_Assisted_Real-Time_High_CMRR_Wireless_Ambulatory_ECG_Monitoring_System_with_Arrhythmia_Detection/24717630 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Biomedical engineering Communications engineering Electronics, sensors and digital hardware Health sciences Health services and systems Information and computing sciences Distributed computing and systems software ambulatory ECG telehealth cardiac diagnosis rural communities PSoC IoT wearable ECG real-time ECG |
| dc.title.none.fl_str_mv | An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia Detection |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The absence of cardiovascular disease (CVD) diagnostic and management solutions cause significant morbidity among populations in rural areas and the coronavirus disease of 2019 (COVID-19) emergency. To tackle this problem, in this paper, the development of an Internet of things (IoT) assisted ambulatory electrocardiogram (ECG) monitoring system is presented. The system’s wearable single-channel data acquisition device supports 25 h of continuous operation. A right leg drive (RLD) circuit supported analog frontend (AFE) with a high common mode rejection ratio (CMRR) of 121 dB and a digitally implemented notch filter is used to suppress power-line frequency interference. The wearable device continuously sends the collected ECG data via Bluetooth to the user’s smartphone. An application on the user’s smartphone renders real-time ECG trace and heart rate and detects abnormal heart rhythms. This data are then shared in real-time with the user’s doctor via a real-time cloud database. An application on the doctor’s smartphone allows real-time visualization of this data and detection of arrhythmias. Simulations and experimental results demonstrate that reliable ECG signals can be captured with low latency and the heart rate computation is comparable to a commercial application. Low cost, scalability, low latency, real-time ECG monitoring, and improved performance of the system make the system highly suitable for the real-time remote identification and management of CVDs in users of rural areas and in the COVID-19 pandemic.</p><h2>Other Information</h2><p dir="ltr">Published in: Electronics<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/electronics10161871" target="_blank">https://dx.doi.org/10.3390/electronics10161871</a></p><p dir="ltr">Disclaimer: The University of Doha for Science and Technology replaced the now-former College of the North Atlantic-Qatar after an Amiri decision in 2022. UDST has become and first national applied University in Qatar; it is also second national University in the country.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_80bfaa490bcd918d4db32a13107b9c83 |
| identifier_str_mv | 10.3390/electronics10161871 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24717630 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia DetectionHassan Ali (3348749)Hein Htet Naing (17542296)Raziq Yaqub (16488878)EngineeringBiomedical engineeringCommunications engineeringElectronics, sensors and digital hardwareHealth sciencesHealth services and systemsInformation and computing sciencesDistributed computing and systems softwareambulatory ECGtelehealthcardiac diagnosisrural communitiesPSoCIoTwearable ECGreal-time ECG<p dir="ltr">The absence of cardiovascular disease (CVD) diagnostic and management solutions cause significant morbidity among populations in rural areas and the coronavirus disease of 2019 (COVID-19) emergency. To tackle this problem, in this paper, the development of an Internet of things (IoT) assisted ambulatory electrocardiogram (ECG) monitoring system is presented. The system’s wearable single-channel data acquisition device supports 25 h of continuous operation. A right leg drive (RLD) circuit supported analog frontend (AFE) with a high common mode rejection ratio (CMRR) of 121 dB and a digitally implemented notch filter is used to suppress power-line frequency interference. The wearable device continuously sends the collected ECG data via Bluetooth to the user’s smartphone. An application on the user’s smartphone renders real-time ECG trace and heart rate and detects abnormal heart rhythms. This data are then shared in real-time with the user’s doctor via a real-time cloud database. An application on the doctor’s smartphone allows real-time visualization of this data and detection of arrhythmias. Simulations and experimental results demonstrate that reliable ECG signals can be captured with low latency and the heart rate computation is comparable to a commercial application. Low cost, scalability, low latency, real-time ECG monitoring, and improved performance of the system make the system highly suitable for the real-time remote identification and management of CVDs in users of rural areas and in the COVID-19 pandemic.</p><h2>Other Information</h2><p dir="ltr">Published in: Electronics<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/electronics10161871" target="_blank">https://dx.doi.org/10.3390/electronics10161871</a></p><p dir="ltr">Disclaimer: The University of Doha for Science and Technology replaced the now-former College of the North Atlantic-Qatar after an Amiri decision in 2022. UDST has become and first national applied University in Qatar; it is also second national University in the country.</p>2021-08-04T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/electronics10161871https://figshare.com/articles/journal_contribution/An_IoT_Assisted_Real-Time_High_CMRR_Wireless_Ambulatory_ECG_Monitoring_System_with_Arrhythmia_Detection/24717630CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/247176302021-08-04T03:00:00Z |
| spellingShingle | An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia Detection Hassan Ali (3348749) Engineering Biomedical engineering Communications engineering Electronics, sensors and digital hardware Health sciences Health services and systems Information and computing sciences Distributed computing and systems software ambulatory ECG telehealth cardiac diagnosis rural communities PSoC IoT wearable ECG real-time ECG |
| status_str | publishedVersion |
| title | An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia Detection |
| title_full | An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia Detection |
| title_fullStr | An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia Detection |
| title_full_unstemmed | An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia Detection |
| title_short | An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia Detection |
| title_sort | An IoT Assisted Real-Time High CMRR Wireless Ambulatory ECG Monitoring System with Arrhythmia Detection |
| topic | Engineering Biomedical engineering Communications engineering Electronics, sensors and digital hardware Health sciences Health services and systems Information and computing sciences Distributed computing and systems software ambulatory ECG telehealth cardiac diagnosis rural communities PSoC IoT wearable ECG real-time ECG |