Abstract
A novel cardiac health device technique development for reliable, non-invasive and cost-effective heart screening in preventive cardiovascular healthcare is presented. In particular, identification of apparently healthy individuals involved in sports activities (particularly in the young, age <35 years) who may be at-risk of sudden-cardiac-death (SCD) is mainly focused here. Nevertheless, the same device technique may be prospectively extended for detecting cardiovascular abnormalities in children and adolescents with type1-diabetes, and also in detecting patients with Brugada syndrome. The device system has been aimed to provide a single figure diagnostic output, thus, not requiring highly-skilled medical personnel. The principles of the required ECG-waveform analysis algorithm have been reported in previous clinical studies. A prototype system platform design that will enable low-cost, portability and key user-friendly characteristics was implemented and in-vitro tested. Real-time firmware integrity and cardiac fitness detection algorithm performed reliably with an in-vitro positive SCD ECG-waveform modelling technique.
| Original language | English |
|---|---|
| Title of host publication | Unknown Host Publication |
| Publisher | IEEE Xplore |
| Pages | 3453-3456 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published online - 30 Aug 2016 |
| Event | The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16) - Disney’s Contemporary Resort Convention Center, Lake Buena Vista (Orlando), Florida, USA Duration: 30 Aug 2016 → … |
Conference
| Conference | The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16) |
|---|---|
| Period | 30/08/16 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- High-resolution ECG
- electrocardiography
- health fitness check
- sudden cardiac death
- SCD
- heart screening
- fractal dimension
- Brugada syndrome
- risk stratification
- ventricular late potentials.
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