Review





Similar Products

six-lead ecg data  (AliveCor Inc)
90
AliveCor Inc six-lead ecg data
Performance of the artificial intelligence model based on various <t>electrocardiogram</t> signals. Receiver operating characteristic curves illustrating the diagnostic performance of the artificial intelligence model based on electrocardiogram signals for detecting left ventricular systolic dysfunction. ( A ) Comparison of the artificial intelligence model based on electrocardiogram signals using the 12-lead, 6-lead, and N-terminal pro-B-type natriuretic peptide. ( B ) Performance of the six-lead artificial intelligence model based on electrocardiogram signal with an LVEF threshold of ≤35%. ( C ) Performance of the six-lead artificial intelligence model based on electrocardiogram signal with an LVEF threshold of ≤50%. ( D ) Comparison of the six-lead artificial intelligence model based on electrocardiogram signal performance across different LVEF thresholds (≤35%, ≤40%, and ≤50%).
Six Lead Ecg Data, supplied by AliveCor Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/six-lead+ecg+data/6+lead+ecg/pmc12088721-142-5-10
Average 90 stars, based on 1 article reviews
six-lead ecg data - by Bioz Stars, 2026-11
90/100 stars
  Buy from Supplier
six-lead ecg data through the alivecor kardiamobile 6 l device  (AliveCor Inc)
90
AliveCor Inc six-lead ecg data through the alivecor kardiamobile 6 l device
Overview of study visits, technologies used, and remote data collection procedures.
Six Lead Ecg Data Through The Alivecor Kardiamobile 6 L Device, supplied by AliveCor Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/six-lead+ecg+data/six+lead+ecg+data+through+the+alivecor+kardiamobile+6+l+device/pmc09240050-155-13-18
Average 90 stars, based on 1 article reviews
six-lead ecg data through the alivecor kardiamobile 6 l device - by Bioz Stars, 2026-11
90/100 stars
  Buy from Supplier

Image Search Results


Performance of the artificial intelligence model based on various electrocardiogram signals. Receiver operating characteristic curves illustrating the diagnostic performance of the artificial intelligence model based on electrocardiogram signals for detecting left ventricular systolic dysfunction. ( A ) Comparison of the artificial intelligence model based on electrocardiogram signals using the 12-lead, 6-lead, and N-terminal pro-B-type natriuretic peptide. ( B ) Performance of the six-lead artificial intelligence model based on electrocardiogram signal with an LVEF threshold of ≤35%. ( C ) Performance of the six-lead artificial intelligence model based on electrocardiogram signal with an LVEF threshold of ≤50%. ( D ) Comparison of the six-lead artificial intelligence model based on electrocardiogram signal performance across different LVEF thresholds (≤35%, ≤40%, and ≤50%).

Journal: European Heart Journal. Digital Health

Article Title: Artificial intelligence-enhanced six-lead portable electrocardiogram device for detecting left ventricular systolic dysfunction: a prospective single-centre cohort study

doi: 10.1093/ehjdh/ztaf025

Figure Lengend Snippet: Performance of the artificial intelligence model based on various electrocardiogram signals. Receiver operating characteristic curves illustrating the diagnostic performance of the artificial intelligence model based on electrocardiogram signals for detecting left ventricular systolic dysfunction. ( A ) Comparison of the artificial intelligence model based on electrocardiogram signals using the 12-lead, 6-lead, and N-terminal pro-B-type natriuretic peptide. ( B ) Performance of the six-lead artificial intelligence model based on electrocardiogram signal with an LVEF threshold of ≤35%. ( C ) Performance of the six-lead artificial intelligence model based on electrocardiogram signal with an LVEF threshold of ≤50%. ( D ) Comparison of the six-lead artificial intelligence model based on electrocardiogram signal performance across different LVEF thresholds (≤35%, ≤40%, and ≤50%).

Article Snippet: The AI-ECG model with the six-lead ECG data acquired from AliveCor KardiaMobile 6L achieved an AUROC of 0.924 (95% CI 0.903–0.944) ( ).

Techniques: Diagnostic Assay, Comparison

Forest plot for subgroup analysis. The forest plot demonstrating the efficacy of the six-lead artificial intelligence model based on electrocardiogram and its possible different efficacy for predicting left ventricular systolic dysfunction by the prespecified characteristics. The plot highlights that although area under the receiver operating characteristic curve values are generally consistent across subgroups, the presence of heart failure significantly affects the model’s performance.

Journal: European Heart Journal. Digital Health

Article Title: Artificial intelligence-enhanced six-lead portable electrocardiogram device for detecting left ventricular systolic dysfunction: a prospective single-centre cohort study

doi: 10.1093/ehjdh/ztaf025

Figure Lengend Snippet: Forest plot for subgroup analysis. The forest plot demonstrating the efficacy of the six-lead artificial intelligence model based on electrocardiogram and its possible different efficacy for predicting left ventricular systolic dysfunction by the prespecified characteristics. The plot highlights that although area under the receiver operating characteristic curve values are generally consistent across subgroups, the presence of heart failure significantly affects the model’s performance.

Article Snippet: The AI-ECG model with the six-lead ECG data acquired from AliveCor KardiaMobile 6L achieved an AUROC of 0.924 (95% CI 0.903–0.944) ( ).

Techniques:

Overview of study visits, technologies used, and remote data collection procedures.

Journal: NPJ Digital Medicine

Article Title: Pandemic-proof recruitment and engagement in a fully decentralized trial in atrial fibrillation patients (DeTAP)

doi: 10.1038/s41746-022-00622-9

Figure Lengend Snippet: Overview of study visits, technologies used, and remote data collection procedures.

Article Snippet: Data collection included self-administered surveys and remote physiologic monitoring through connected devices including six-lead ECG data through the AliveCor KardiaMobile 6 L device and BP data through the Omron HEM-9210T/9200 T Bluetooth blood pressure monitor, all transmitted via the DeTAP mobile application.

Techniques:

SCCR Stanford Center for Clinical Research, OAC oral anticoagulant, EKG electrocardiogram, BP blood pressure, HR heart rate, DeTAP decentralized trial in afib patients, App smartphone/mobile application, AF atrial fibrillation, AEs adverse events.

Journal: NPJ Digital Medicine

Article Title: Pandemic-proof recruitment and engagement in a fully decentralized trial in atrial fibrillation patients (DeTAP)

doi: 10.1038/s41746-022-00622-9

Figure Lengend Snippet: SCCR Stanford Center for Clinical Research, OAC oral anticoagulant, EKG electrocardiogram, BP blood pressure, HR heart rate, DeTAP decentralized trial in afib patients, App smartphone/mobile application, AF atrial fibrillation, AEs adverse events.

Article Snippet: Data collection included self-administered surveys and remote physiologic monitoring through connected devices including six-lead ECG data through the AliveCor KardiaMobile 6 L device and BP data through the Omron HEM-9210T/9200 T Bluetooth blood pressure monitor, all transmitted via the DeTAP mobile application.

Techniques: