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: 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