Validation of a Novel Smartphone-based Method for Heart Rhythm Monitoring in the Home Environment
1 other identifier
observational
480
1 country
1
Brief Summary
Atrial fibrillation is a heart rhythm disorder with increased risk of stroke, heart failure, dementia and death. The severity of symptoms in atrial fibrillation varies markedly, ranging from no symptoms to those with disabling symptoms. An ECG recording is currently mandatory for diagnosing atrial fibrillation. A portable method for heart rhythm diagnostics that is readily available is currently missing in clinical practice. If a standard smartphone could be used for heart rhythm diagnostics, the availability could improve greatly. Treatment with direct current cardioversion is a procedure in which the heart rhythm is normalized by an electrical shock through the chest. Patients with atrial fibrillation are in some cases recommended treatment with direct current cardioversion but the procedure is costly, has a high recurrence rate and includes an increased risk for stroke. In this study we will validate the use of a novel smartphone-based method for heart rhythm diagnostics when used by patients in their home environment. The novel method is using the smartphone camera as a sensor. Patients will be doing heart rhythm measurements with the novel smartphone-based method in their home environment for 30 days after successfully receiving treatment of atrial fibrillation with direct current cardioversion. The novel smartphone-based method will be validated against simultaneous recordings with mobile ECG. We will also study the feasibility in using smartphone recordings and mobile ECG in the home environment the weeks before receiving treatment with direct current cardioversion, to study the possible benefit of detecting spontaneous conversions to normal heart rhythm and missed doses of treatment with blood thinning medication, both of which will lead to cancellation or detention of the cardioversion procedure.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Nov 2018
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
November 27, 2018
CompletedFirst Submitted
Initial submission to the registry
March 4, 2020
CompletedFirst Posted
Study publicly available on registry
March 9, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
April 1, 2025
CompletedMarch 5, 2025
March 1, 2025
6.3 years
March 4, 2020
March 3, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Performance of the novel smartphone-based photoplethysmographic method for heart rhythm diagnostics and discrimination of atrial fibrillation from normal heart rhythm.
Sensitivity, specificity, positive predictive value, negative predictive value, receiver operating characteristic (ROC) curve analysis.
Daily measurements during 30 days
Secondary Outcomes (5)
Independent predictors for recurrence of atrial fibrillation within 30 days of treatment with direct current cardioversion.
30 days
Predictors for recurrence of atrial fibrillation within 30 days of treatment with direct current cardioversion using deep learning and machine learning techniques.
30 days
Participant compliance for recording heart rhythm with the novel smartphone-based method twice daily for 30 days.
30 days
Correlation between patient self-reported symptoms and recorded heart rhythm.
30 days
Proportion of same day cancellations for planned treatment of atrial fibrillation with cardioversion for patients using the novel smartphone-based photoplethysmographic method for heart rhythm monitoring prior to the treatment compared to no monitoring.
2 to 4 weeks
Study Arms (2)
Validation cohort
Participants in validation of the novel smartphone-based photoplethysmographic method for ambulatory heart rhythm diagnostics.
Clinical implementation cohort
Participants in a clinical implementation of the novel smartphone-based photoplethysmographic method for ambulatory heart rhythm diagnostics.
Interventions
Smartphone camera PPG recordings using a novel software application.
Smartphone connected one-lead ECG recordings.
Eligibility Criteria
Patients undergoing direct current cardioversion for treatment of atrial fibrillation or atrial flutter at Danderyd University Hospital.
You may qualify if:
- Patients undergoing direct current cardioversion successfully for treatment of atrial fibrillation or atrial flutter and have a normal heart rhythm after the treatment.
You may not qualify if:
- Patients with implantable cardiac devices.
- Clinical implementation cohort:
- Patients planned for direct current cardioversion for treatment of atrial fibrillation or atrial flutter.
- Patients with implantable cardiac devices.
- Patients with a spontaneous return to sinus rhythm diagnosed at a screening visit 2 to 4 weeks prior to the scheduled treatment with direct current cardioversion.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Karolinska Institutetlead
- Danderyd Hospitalcollaborator
Study Sites (1)
Danderyd University Hospital
Stockholm, 182 88, Sweden
Related Publications (1)
Fernstad J, Svennberg E, Aberg P, Kemp Gudmundsdottir K, Jansson A, Engdahl J. External validation of a machine learning-based classification algorithm for ambulatory heart rhythm diagnostics in pericardioversion atrial fibrillation patients using smartphone photoplethysmography: the SMARTBEATS-ALGO study. Europace. 2025 Mar 28;27(4):euaf031. doi: 10.1093/europace/euaf031.
PMID: 39960451DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Johan Engdahl
Karolinska Institutet
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
March 4, 2020
First Posted
March 9, 2020
Study Start
November 27, 2018
Primary Completion
April 1, 2025
Study Completion
April 1, 2025
Last Updated
March 5, 2025
Record last verified: 2025-03