NCT05425342

iECG: Recording Chest Leads Using a Smartwatch With a Digital Image Processing Algorithm

iECG: A Feasibility Study for Recording Chest Leads Using a Smartwatch Coupled With a Digital Image Processing Algorithm

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 50 (actual)
• Sponsor: University Hospital, Basel, Switzerland · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

The purpose of this study is to evaluate the feasibility of a new method for self-recordable ECGs using a smartwatch coupled with an image processing algorithm. The long-term goal of this project is to establish such a method and to potentially integrate it into telemedical care.

Detailed description

There is an increasing availability of smartwatches worldwide. Health-related features of these wearables such as heart rate and -rhythm analysis have become increasingly recognised. Some smartwatches are capable of recording an electrocardiogram (ECG) which yields important information about electrical heart activity. Recording a complete ECG with a smartwatch is challenging if the user has no prior medical experience. In this feasibility study we introduce a novel image processing tool that instructs the user to record an ECG using the front camera of an iPad. In a second step, a standard ECG will be recorded by medical staff. The ECGs will then be compared by two board certified cardiologists. The aim of the study is to evaluate the feasibility of self-recorded smartwatch ECGs. If this method can be established, it could markedly expand the diagnostic options for heart and vascular diseases.

Conditions

• Electrocardiogram

Interventions

Type	Name	Description
DEVICE	Smartwatch ECG	Self-recorded 9-lead smartwatch ECGs

Timeline

• Start date: 2020-12-12
• Primary completion: 2021-03-23
• Completion: 2021-03-23
• First posted: 2022-06-21
• Last updated: 2022-06-21

Locations

1 site across 1 country: Switzerland