mSTROKE
| Autor: | Malay Bhattacharyya, Ankita Singh, Richa Tibrewal |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
060201 languages & linguistics
Weakness business.industry Computer science Speech recognition Facial weakness 06 humanities and the arts 02 engineering and technology Crowdsourcing medicine.disease Test (assessment) Test case 0602 languages and literature 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing medicine.symptom Medical diagnosis business Stroke Mobile device |
| Zdroj: | MobileHCI Adjunct |
| DOI: | 10.1145/2957265.2961831 |
| Popis: | We demonstrate a crowd-powered model for the early diagnosis of stroke using a mobile device. The simple approach consists of monitoring the subject's health in three simple steps including the smile test for facial weakness, raising hands test for arm weakness and speech test for slurring of speech. Our demonstrated system shows a performance accuracy of 87.5% over a total number of 40 test cases. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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