Leveraging multi-modal user-labeled data for improved accuracy in interpretation of ECG recordings
| Autor: | Raju Maharjan, Jakob E. Bardram, Per Bækgaard |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Personal Health Technology
medicine.diagnostic_test Computer science Interpretation (philosophy) Atrial fibrillation User-labeled data 030204 cardiovascular system & hematology MHealth medicine.disease 03 medical and health sciences 0302 clinical medicine Modal Human–computer interaction medicine Labeled data Frail elderly Patient Reported Outcomes Mobile device Electrocardiography mHealth 030217 neurology & neurosurgery |
| Zdroj: | Maharjan, R, Bækgaard, P & Bardram, J E 2018, Leveraging multi-modal user-labeled data for improved accuracy in interpretation of ECG recordings . in Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers . Association for Computing Machinery, pp. 636-641, 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018, Singapore, Singapore, 08/10/2018 . https://doi.org/10.1145/3267305.3267548 UbiComp/ISWC Adjunct |
| DOI: | 10.1145/3267305.3267548 |
| Popis: | This paper presents our preliminary design of the Reaching the Frail Elderly Patient for Optimizing Diagnosis of Atrial Fibrillation (REAFEL) system that helps to improve accuracy in interpretation of Electrocardiography (ECG) recordings by leveraging multi-modal user-labeled data and other contextual information from mobile devices. We describe the methods to collect and visualize the data, discuss the challenges associated with the project and conclude the paper by outlining future work. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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