Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry)
BackgroundAtrial fibrillation (AF) is the most common sustained cardiac arrhythmia. The asymptomatic nature and paroxysmal frequency of AF lead to suboptimal early detection. A novel technology, photoplethysmography (PPG), has been developed for AF screening. However, there has been limited validati...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2019-03-01
|
| Series: | JMIR mHealth and uHealth |
| Online Access: | http://mhealth.jmir.org/2019/3/e11437/ |
| _version_ | 1818902513460445184 |
|---|---|
| author | Fan, Yong-Yan Li, Yan-Guang Li, Jian Cheng, Wen-Kun Shan, Zhao-Liang Wang, Yu-Tang Guo, Yu-Tao |
| author_facet | Fan, Yong-Yan Li, Yan-Guang Li, Jian Cheng, Wen-Kun Shan, Zhao-Liang Wang, Yu-Tang Guo, Yu-Tao |
| author_sort | Fan, Yong-Yan |
| collection | DOAJ |
| description | BackgroundAtrial fibrillation (AF) is the most common sustained cardiac arrhythmia. The asymptomatic nature and paroxysmal frequency of AF lead to suboptimal early detection. A novel technology, photoplethysmography (PPG), has been developed for AF screening. However, there has been limited validation of mobile phone and smart band apps with PPG compared to 12-lead electrocardiograms (ECG).
ObjectiveWe investigated the feasibility and accuracy of a mobile phone and smart band for AF detection using pulse data measured by PPG.
MethodsA total of 112 consecutive inpatients were recruited from the Chinese PLA General Hospital from March 15 to April 1, 2018. Participants were simultaneously tested with mobile phones (HUAWEI Mate 9, HUAWEI Honor 7X), smart bands (HUAWEI Band 2), and 12-lead ECG for 3 minutes.
ResultsIn all, 108 patients (56 with normal sinus rhythm, 52 with persistent AF) were enrolled in the final analysis after excluding four patients with unclear cardiac rhythms. The corresponding sensitivity and specificity of the smart band PPG were 95.36% (95% CI 92.00%-97.40%) and 99.70% (95% CI 98.08%-99.98%), respectively. The positive predictive value of the smart band PPG was 99.63% (95% CI 97.61%-99.98%), the negative predictive value was 96.24% (95% CI 93.50%-97.90%), and the accuracy was 97.72% (95% CI 96.11%-98.70%). Moreover, the diagnostic sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of mobile phones with PPG for AF detection were over 94%. There was no significant difference after further statistical analysis of the results from the different smart devices compared with the gold-standard ECG (P>.99).
ConclusionsThe algorithm based on mobile phones and smart bands with PPG demonstrated good performance in detecting AF and may represent a convenient tool for AF detection in at-risk individuals, allowing widespread screening of AF in the population.
Trial RegistrationChinese Clinical Trial Registry ChiCTR-OOC-17014138; http://www.chictr.org.cn/showproj.aspx?proj=24191 (Archived by WebCite at http://www.webcitation/76WXknvE6) |
| first_indexed | 2024-12-19T20:36:51Z |
| format | Article |
| id | doaj.art-a146228bdd4443e6805ccaae71fa27a6 |
| institution | Directory Open Access Journal |
| issn | 2291-5222 |
| language | English |
| last_indexed | 2024-12-19T20:36:51Z |
| publishDate | 2019-03-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR mHealth and uHealth |
| spelling | doaj.art-a146228bdd4443e6805ccaae71fa27a62022-12-21T20:06:31ZengJMIR PublicationsJMIR mHealth and uHealth2291-52222019-03-0173e1143710.2196/11437Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry)Fan, Yong-YanLi, Yan-GuangLi, JianCheng, Wen-KunShan, Zhao-LiangWang, Yu-TangGuo, Yu-TaoBackgroundAtrial fibrillation (AF) is the most common sustained cardiac arrhythmia. The asymptomatic nature and paroxysmal frequency of AF lead to suboptimal early detection. A novel technology, photoplethysmography (PPG), has been developed for AF screening. However, there has been limited validation of mobile phone and smart band apps with PPG compared to 12-lead electrocardiograms (ECG). ObjectiveWe investigated the feasibility and accuracy of a mobile phone and smart band for AF detection using pulse data measured by PPG. MethodsA total of 112 consecutive inpatients were recruited from the Chinese PLA General Hospital from March 15 to April 1, 2018. Participants were simultaneously tested with mobile phones (HUAWEI Mate 9, HUAWEI Honor 7X), smart bands (HUAWEI Band 2), and 12-lead ECG for 3 minutes. ResultsIn all, 108 patients (56 with normal sinus rhythm, 52 with persistent AF) were enrolled in the final analysis after excluding four patients with unclear cardiac rhythms. The corresponding sensitivity and specificity of the smart band PPG were 95.36% (95% CI 92.00%-97.40%) and 99.70% (95% CI 98.08%-99.98%), respectively. The positive predictive value of the smart band PPG was 99.63% (95% CI 97.61%-99.98%), the negative predictive value was 96.24% (95% CI 93.50%-97.90%), and the accuracy was 97.72% (95% CI 96.11%-98.70%). Moreover, the diagnostic sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of mobile phones with PPG for AF detection were over 94%. There was no significant difference after further statistical analysis of the results from the different smart devices compared with the gold-standard ECG (P>.99). ConclusionsThe algorithm based on mobile phones and smart bands with PPG demonstrated good performance in detecting AF and may represent a convenient tool for AF detection in at-risk individuals, allowing widespread screening of AF in the population. Trial RegistrationChinese Clinical Trial Registry ChiCTR-OOC-17014138; http://www.chictr.org.cn/showproj.aspx?proj=24191 (Archived by WebCite at http://www.webcitation/76WXknvE6)http://mhealth.jmir.org/2019/3/e11437/ |
| spellingShingle | Fan, Yong-Yan Li, Yan-Guang Li, Jian Cheng, Wen-Kun Shan, Zhao-Liang Wang, Yu-Tang Guo, Yu-Tao Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry) JMIR mHealth and uHealth |
| title | Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry) |
| title_full | Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry) |
| title_fullStr | Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry) |
| title_full_unstemmed | Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry) |
| title_short | Diagnostic Performance of a Smart Device With Photoplethysmography Technology for Atrial Fibrillation Detection: Pilot Study (Pre-mAFA II Registry) |
| title_sort | diagnostic performance of a smart device with photoplethysmography technology for atrial fibrillation detection pilot study pre mafa ii registry |
| url | http://mhealth.jmir.org/2019/3/e11437/ |
| work_keys_str_mv | AT fanyongyan diagnosticperformanceofasmartdevicewithphotoplethysmographytechnologyforatrialfibrillationdetectionpilotstudypremafaiiregistry AT liyanguang diagnosticperformanceofasmartdevicewithphotoplethysmographytechnologyforatrialfibrillationdetectionpilotstudypremafaiiregistry AT lijian diagnosticperformanceofasmartdevicewithphotoplethysmographytechnologyforatrialfibrillationdetectionpilotstudypremafaiiregistry AT chengwenkun diagnosticperformanceofasmartdevicewithphotoplethysmographytechnologyforatrialfibrillationdetectionpilotstudypremafaiiregistry AT shanzhaoliang diagnosticperformanceofasmartdevicewithphotoplethysmographytechnologyforatrialfibrillationdetectionpilotstudypremafaiiregistry AT wangyutang diagnosticperformanceofasmartdevicewithphotoplethysmographytechnologyforatrialfibrillationdetectionpilotstudypremafaiiregistry AT guoyutao diagnosticperformanceofasmartdevicewithphotoplethysmographytechnologyforatrialfibrillationdetectionpilotstudypremafaiiregistry |