Journal: Heart Rhythm O2

Article Title: Effect of clinic-based single-lead electrocardiogram rhythm assessment on oral anticoagulation prescriptions in patients with previously diagnosed atrial fibrillation

doi: 10.1016/j.hroo.2023.07.003

Figure Lengend Snippet: Initiation (A) and discontinuation (B) of oral anticoagulation (OAC) in the 12 months after the first visit during the study period overall and by single-lead electrocardiographic (ECG) result. AF = atrial fibrillation.

Article Snippet: Consenting patients placed their fingers on a single-lead AliveCor KardiaMobile ECG device (AliveCor Inc., Mountain View, CA; KardiaA1 version 1 algorithm) to conduct a 30-second AF rhythm assessment.

Techniques:

Journal: Heart Rhythm O2

Article Title: Effect of clinic-based single-lead electrocardiogram rhythm assessment on oral anticoagulation prescriptions in patients with previously diagnosed atrial fibrillation

doi: 10.1016/j.hroo.2023.07.003

Figure Lengend Snippet: Health care utilization in intervention and control arms in the 12 months after the first visit during the study period. 12L ECG = 12-lead electrocardiogram.

Article Snippet: Consenting patients placed their fingers on a single-lead AliveCor KardiaMobile ECG device (AliveCor Inc., Mountain View, CA; KardiaA1 version 1 algorithm) to conduct a 30-second AF rhythm assessment.

Techniques: Control

Journal: Journal of Clinical Medicine

Article Title: Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis

doi: 10.3390/jcm12206576

Figure Lengend Snippet: Study characteristics (PPG, single-lead ECG and miscellaneous).

Article Snippet: Orchard et al., 2016 [ ] , Outpatients , Cohort selected cross-sectional study , AliveCor Heart Monitor , AliveCor Heart Monitor algorithm (single-lead ECG) , 30 s , single-lead interpreted by cardiologists , - , - , 972 , 38 , 934 (SR) , Excluded , 36 , 844 , 8 , 2 , 8.4%.

Techniques: Control, Software, Modification

Journal: Journal of Clinical Medicine

Article Title: Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis

doi: 10.3390/jcm12206576

Figure Lengend Snippet: Study characteristics (PPG, single-lead ECG and miscellaneous).

Article Snippet: Wegner et al., 2020 (A) [ ] , Inpatients , Cohort selected cross-sectional study , AliveCor Kardia ECG monitor , AliveCor Kardia ECG monitor algorithm (single-lead ECG) , 30 s , 12-lead ECG , All participants: 64 ± 15 , All participants: 38.4% , 92 , 27 , 65 (SR) , In AF group , 19 , 45 , 8 , 0 , 21.7%.

Techniques: Software, Modification

Journal: Journal of Clinical Medicine

Article Title: Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis

doi: 10.3390/jcm12206576

Figure Lengend Snippet: Assessment of risk of bias and applicability of the single-lead ECG studies. (Desteghe et al., 2017(A): testing the AliveCor in the cardiology ward population; Desteghe et al., 2017 (B): testing the MyDiagnostick in the cardiology ward population; Desteghe et al., 2017 (C): testing the AliveCor in the geriatric ward population; Desteghe et al., 2017 (D): testing the MyDiagnostick in the geriatric ward population; Ford et al., 2022 (A): testing the Apple Watch 4; Ford et al., 2022 (B): testing the KardiaBand; Fu et al., 2021 (A): testing the device in supine position, Fu et al., 2021 (B): testing the device in upright position, Fu et al., 2021 (C): testing the device after individuals climbed to the 3rd floor; Santala et al., 2021 (1): published in October 2021, Santala et al., 2021 (2) (A): published in May 2021 and testing the device between the palms, Santala et al., 2021, (2) (B): published in May 2021 and testing the device in the chest; Abu-Alrub et al., 2022(A): testing the Apple Watch 5, Abu-Alrub et al., 2022 (B): testing the Samsung Galaxy Watch Active 3, Abu-Alrub et al., 2022 (C): testing the Withings Move ECG; Wegner et al., 2020 (A): testing the lead I; Wegner et al., 2020 (B): testing the novel parasternal lead).

Article Snippet: Wegner et al., 2020 (A) [ ] , Inpatients , Cohort selected cross-sectional study , AliveCor Kardia ECG monitor , AliveCor Kardia ECG monitor algorithm (single-lead ECG) , 30 s , 12-lead ECG , All participants: 64 ± 15 , All participants: 38.4% , 92 , 27 , 65 (SR) , In AF group , 19 , 45 , 8 , 0 , 21.7%.

Techniques:

Journal: Journal of Clinical Medicine

Article Title: Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis

doi: 10.3390/jcm12206576

Figure Lengend Snippet: Single-lead ECG group: ( a ) forest plot of sensitivity, ( b ) forest plot of specificity. (Desteghe et al., 2017 (A): testing the AliveCor in the cardiology ward population; Desteghe et al., 2017 (B): testing the MyDiagnostick in the cardiology ward population; Desteghe et al., 2017 (C): testing the AliveCor in the geriatric ward population; Desteghe et al., 2017 (D): testing the MyDiagnostick in the geriatric ward population; Ford et al., 2022 (A): testing the Apple Watch 4, Ford et al., 2022 (B): testing the KardiaBand; Fu et al., 2021 (A): testing the device in supine position, Fu et al., 2021 (B): testing the device in upright position, Fu et al., 2021 (C): testing the device after individuals climbed to the 3rd floor; Santala et al., 2021 (1): published in October 2021, Santala et al., 2021 (2) (A): published in May 2021 and testing the device between the palms, Santala et al., 2021 (2) (B): published in May 2021 and testing the device in the chest; Abu-Alrub et al., 2022 (A): testing the Apple Watch 5, Abu-Alrub et al., 2022 (B): testing the Samsung Galaxy Watch Active 3, Abu-Alrub et al., 2022 (C): testing the Withings Move ECG, Wegner et al., 2020 (A): testing the lead I, Wegner et al., 2020 (B): testing the novel parasternal lead).

Article Snippet: Wegner et al., 2020 (A) [ ] , Inpatients , Cohort selected cross-sectional study , AliveCor Kardia ECG monitor , AliveCor Kardia ECG monitor algorithm (single-lead ECG) , 30 s , 12-lead ECG , All participants: 64 ± 15 , All participants: 38.4% , 92 , 27 , 65 (SR) , In AF group , 19 , 45 , 8 , 0 , 21.7%.

Techniques:

Journal: Journal of Clinical Medicine

Article Title: Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis

doi: 10.3390/jcm12206576

Figure Lengend Snippet: Single-lead ECG group: random effects meta-analysis.

Article Snippet: Wegner et al., 2020 (A) [ ] , Inpatients , Cohort selected cross-sectional study , AliveCor Kardia ECG monitor , AliveCor Kardia ECG monitor algorithm (single-lead ECG) , 30 s , 12-lead ECG , All participants: 64 ± 15 , All participants: 38.4% , 92 , 27 , 65 (SR) , In AF group , 19 , 45 , 8 , 0 , 21.7%.

Techniques:

Journal: Journal of Clinical Medicine

Article Title: Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis

doi: 10.3390/jcm12206576

Figure Lengend Snippet: Single-lead ECG group: subgroup analysis (inpatients vs. outpatients).

Article Snippet: Wegner et al., 2020 (A) [ ] , Inpatients , Cohort selected cross-sectional study , AliveCor Kardia ECG monitor , AliveCor Kardia ECG monitor algorithm (single-lead ECG) , 30 s , 12-lead ECG , All participants: 64 ± 15 , All participants: 38.4% , 92 , 27 , 65 (SR) , In AF group , 19 , 45 , 8 , 0 , 21.7%.

Techniques:

Journal: Journal of Clinical Medicine

Article Title: Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis

doi: 10.3390/jcm12206576

Figure Lengend Snippet: Single-lead ECG group: subgroup analysis (duration of index test).

Article Snippet: Wegner et al., 2020 (A) [ ] , Inpatients , Cohort selected cross-sectional study , AliveCor Kardia ECG monitor , AliveCor Kardia ECG monitor algorithm (single-lead ECG) , 30 s , 12-lead ECG , All participants: 64 ± 15 , All participants: 38.4% , 92 , 27 , 65 (SR) , In AF group , 19 , 45 , 8 , 0 , 21.7%.

Techniques:

Journal: Journal of Clinical Medicine

Article Title: Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis

doi: 10.3390/jcm12206576

Figure Lengend Snippet: Study characteristics (PPG, single-lead ECG and miscellaneous).

Article Snippet: Lown et al., 2018 (A) [ ] , Outpatients , Case–control selected cross-sectional study , AliveCor , AliveCor (Kardia version 4.7.0) algorithm (single-lead ECG) , 30 s , 12-lead ECG , All participants: 73.9 ± 6.1 , - , 418 , 82 , 336 (non-AF) , In AF group , 72 , 332 , 2 , 2 , 2.4%.

Techniques: Control, Software, Modification

Journal: Journal of Clinical Medicine

Article Title: Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis

doi: 10.3390/jcm12206576

Figure Lengend Snippet: Assessment of risk of bias and applicability of the single-lead ECG studies. (Desteghe et al., 2017(A): testing the AliveCor in the cardiology ward population; Desteghe et al., 2017 (B): testing the MyDiagnostick in the cardiology ward population; Desteghe et al., 2017 (C): testing the AliveCor in the geriatric ward population; Desteghe et al., 2017 (D): testing the MyDiagnostick in the geriatric ward population; Ford et al., 2022 (A): testing the Apple Watch 4; Ford et al., 2022 (B): testing the KardiaBand; Fu et al., 2021 (A): testing the device in supine position, Fu et al., 2021 (B): testing the device in upright position, Fu et al., 2021 (C): testing the device after individuals climbed to the 3rd floor; Santala et al., 2021 (1): published in October 2021, Santala et al., 2021 (2) (A): published in May 2021 and testing the device between the palms, Santala et al., 2021, (2) (B): published in May 2021 and testing the device in the chest; Abu-Alrub et al., 2022(A): testing the Apple Watch 5, Abu-Alrub et al., 2022 (B): testing the Samsung Galaxy Watch Active 3, Abu-Alrub et al., 2022 (C): testing the Withings Move ECG; Wegner et al., 2020 (A): testing the lead I; Wegner et al., 2020 (B): testing the novel parasternal lead).

Article Snippet: Lown et al., 2018 (A) [ ] , Outpatients , Case–control selected cross-sectional study , AliveCor , AliveCor (Kardia version 4.7.0) algorithm (single-lead ECG) , 30 s , 12-lead ECG , All participants: 73.9 ± 6.1 , - , 418 , 82 , 336 (non-AF) , In AF group , 72 , 332 , 2 , 2 , 2.4%.

Techniques:

Journal: Journal of Clinical Medicine

Article Title: Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis

doi: 10.3390/jcm12206576

Figure Lengend Snippet: Single-lead ECG group: ( a ) forest plot of sensitivity, ( b ) forest plot of specificity. (Desteghe et al., 2017 (A): testing the AliveCor in the cardiology ward population; Desteghe et al., 2017 (B): testing the MyDiagnostick in the cardiology ward population; Desteghe et al., 2017 (C): testing the AliveCor in the geriatric ward population; Desteghe et al., 2017 (D): testing the MyDiagnostick in the geriatric ward population; Ford et al., 2022 (A): testing the Apple Watch 4, Ford et al., 2022 (B): testing the KardiaBand; Fu et al., 2021 (A): testing the device in supine position, Fu et al., 2021 (B): testing the device in upright position, Fu et al., 2021 (C): testing the device after individuals climbed to the 3rd floor; Santala et al., 2021 (1): published in October 2021, Santala et al., 2021 (2) (A): published in May 2021 and testing the device between the palms, Santala et al., 2021 (2) (B): published in May 2021 and testing the device in the chest; Abu-Alrub et al., 2022 (A): testing the Apple Watch 5, Abu-Alrub et al., 2022 (B): testing the Samsung Galaxy Watch Active 3, Abu-Alrub et al., 2022 (C): testing the Withings Move ECG, Wegner et al., 2020 (A): testing the lead I, Wegner et al., 2020 (B): testing the novel parasternal lead).

Article Snippet: Lown et al., 2018 (A) [ ] , Outpatients , Case–control selected cross-sectional study , AliveCor , AliveCor (Kardia version 4.7.0) algorithm (single-lead ECG) , 30 s , 12-lead ECG , All participants: 73.9 ± 6.1 , - , 418 , 82 , 336 (non-AF) , In AF group , 72 , 332 , 2 , 2 , 2.4%.

Techniques:

Journal: Journal of Clinical Medicine

Article Title: Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis

doi: 10.3390/jcm12206576

Figure Lengend Snippet: Single-lead ECG group: random effects meta-analysis.

Article Snippet: Lown et al., 2018 (A) [ ] , Outpatients , Case–control selected cross-sectional study , AliveCor , AliveCor (Kardia version 4.7.0) algorithm (single-lead ECG) , 30 s , 12-lead ECG , All participants: 73.9 ± 6.1 , - , 418 , 82 , 336 (non-AF) , In AF group , 72 , 332 , 2 , 2 , 2.4%.

Techniques:

Journal: Journal of Clinical Medicine

Article Title: Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis

doi: 10.3390/jcm12206576

Figure Lengend Snippet: Single-lead ECG group: subgroup analysis (inpatients vs. outpatients).

Article Snippet: Lown et al., 2018 (A) [ ] , Outpatients , Case–control selected cross-sectional study , AliveCor , AliveCor (Kardia version 4.7.0) algorithm (single-lead ECG) , 30 s , 12-lead ECG , All participants: 73.9 ± 6.1 , - , 418 , 82 , 336 (non-AF) , In AF group , 72 , 332 , 2 , 2 , 2.4%.

Techniques:

Journal: Journal of Clinical Medicine

Article Title: Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis

doi: 10.3390/jcm12206576

Figure Lengend Snippet: Single-lead ECG group: subgroup analysis (duration of index test).

Article Snippet: Lown et al., 2018 (A) [ ] , Outpatients , Case–control selected cross-sectional study , AliveCor , AliveCor (Kardia version 4.7.0) algorithm (single-lead ECG) , 30 s , 12-lead ECG , All participants: 73.9 ± 6.1 , - , 418 , 82 , 336 (non-AF) , In AF group , 72 , 332 , 2 , 2 , 2.4%.

Techniques:

Journal: Frontiers in Cardiovascular Medicine

Article Title: Apple Watch-guided diagnosis of AVNRT in a pregnant woman—A case report and literature review

doi: 10.3389/fcvm.2022.985421

Figure Lengend Snippet: (A) ECG on admission to hospital: sinus tachycardia 113 bpm, normal cardiac axis, T-waves inversion in leads V1 - V3; (B) Recording from Apple Watch: narrow QRS complex tachycardia of 216 bpm with short RP interval.

Article Snippet: The single-lead ECG patch BodyGuardian (Preventice Solutions Group, USA) and the algorithm-predicted QTc from the KardiaMobile 6-lead ECG compared to the 12-lead ECG confirmed the satisfactory quality of this type of measurements ( , ).

Techniques:

Journal: Frontiers in Cardiovascular Medicine

Article Title: Apple Watch-guided diagnosis of AVNRT in a pregnant woman—A case report and literature review

doi: 10.3389/fcvm.2022.985421

Figure Lengend Snippet: Comparison of the most popular devices used for mobile rhythm monitoring.

Article Snippet: The single-lead ECG patch BodyGuardian (Preventice Solutions Group, USA) and the algorithm-predicted QTc from the KardiaMobile 6-lead ECG compared to the 12-lead ECG confirmed the satisfactory quality of this type of measurements ( , ).

Techniques: Comparison, Adhesive

Journal: Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease

Article Title: Contact‐Free Screening of Atrial Fibrillation by a Smartphone Using Facial Pulsatile Photoplethysmographic Signals

doi: 10.1161/JAHA.118.008585

Figure Lengend Snippet: Examples of photoplethysmographic ( PPG ) recordings analyzed by Cardiio Rhythm application from patients in atrial fibrillation (A) and sinus rhythm (B). C, Setup to acquire PPG signals from face by using the front camera. D, Obtaining PPG signals from fingertip by using the back camera.

Article Snippet: The diagnostic performance of the Cardiio Rhythm fingertip photoplethysmographic algorithm was first reported by Chan et al in 1013 outpatients compared with the AliveCor's single‐lead ECG automated algorithm.

Techniques:

Journal: Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease

Article Title: Contact‐Free Screening of Atrial Fibrillation by a Smartphone Using Facial Pulsatile Photoplethysmographic Signals

doi: 10.1161/JAHA.118.008585

Figure Lengend Snippet: Diagnostic Accuracy of Cardiio Rhythm Facial and Fingertip Photoplethysmography in Detecting AF

Article Snippet: The diagnostic performance of the Cardiio Rhythm fingertip photoplethysmographic algorithm was first reported by Chan et al in 1013 outpatients compared with the AliveCor's single‐lead ECG automated algorithm.

Techniques: Diagnostic Assay

Journal: Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease

Article Title: Contact‐Free Screening of Atrial Fibrillation by a Smartphone Using Facial Pulsatile Photoplethysmographic Signals

doi: 10.1161/JAHA.118.008585

Figure Lengend Snippet: Contingency Table Comparing the Test Screening Results Between Facial and Fingertip Photoplethysmography

Article Snippet: The diagnostic performance of the Cardiio Rhythm fingertip photoplethysmographic algorithm was first reported by Chan et al in 1013 outpatients compared with the AliveCor's single‐lead ECG automated algorithm.

Techniques:

Journal: Annals of Family Medicine

Article Title: Diagnostic Accuracy of a Smartphone-Operated, Single-Lead Electrocardiography Device for Detection of Rhythm and Conduction Abnormalities in Primary Care

doi: 10.1370/afm.2438

Figure Lengend Snippet: Indications for Undergoing 12L-ECG (n = 214)

Article Snippet: To validate a smartphone-operated, single-lead electrocardiography (1L-ECG) device (AliveCor KardiaMobile) with an integrated algorithm for atrial fibrillation (AF) against 12-lead ECG (12L-ECG) in a primary care population.

Techniques:

Journal: Annals of Family Medicine

Article Title: Diagnostic Accuracy of a Smartphone-Operated, Single-Lead Electrocardiography Device for Detection of Rhythm and Conduction Abnormalities in Primary Care

doi: 10.1370/afm.2438

Figure Lengend Snippet: Diagnostic Accuracy Measures of the Interpretation of 1L-ECG by Cardiologists or the Smartphone Algorithm Using 12L-ECG as Reference Standard

Article Snippet: To validate a smartphone-operated, single-lead electrocardiography (1L-ECG) device (AliveCor KardiaMobile) with an integrated algorithm for atrial fibrillation (AF) against 12-lead ECG (12L-ECG) in a primary care population.

Techniques: Diagnostic Assay