Abstract
The uptake of personal ECG devices is poised to
explode in coming years. This review considers the
potential impact of this on the cardiology department of an
NHS teaching trust in the UK. The authors conclude that
such devices may substantially increase the workload of a
service already under significant pressure, with unclear
benefit to patients. Potential solutions to this issue include
novel algorithms (perhaps deep learning) to minimize false
positive results.
explode in coming years. This review considers the
potential impact of this on the cardiology department of an
NHS teaching trust in the UK. The authors conclude that
such devices may substantially increase the workload of a
service already under significant pressure, with unclear
benefit to patients. Potential solutions to this issue include
novel algorithms (perhaps deep learning) to minimize false
positive results.
| Original language | English |
|---|---|
| Publication status | Published (in print/issue) - 9 Sept 2019 |
| Event | Computing in Cardiology - Matrix, Biopolis, Singapore Duration: 8 Sept 2019 → 11 Sept 2019 Conference number: 46 http://www.cinc.org |
Conference
| Conference | Computing in Cardiology |
|---|---|
| Abbreviated title | CinC 2019 |
| Country/Territory | Singapore |
| City | Biopolis |
| Period | 8/09/19 → 11/09/19 |
| Internet address |
Keywords
- ECG
- Wearable
- health monitoring
- Personal devices
- ECG monitoring
