Siirtola, P., Koskimäki, H., Mönttinen, H., Röning, J., Wearable sensors to detect seizures and attacks : challenges of data gathering, Proceedings 2nd International Workshop on Smart Sensing Systems (IWSSS ’17), article number: 4
Wearable sensors to detect seizures and attacks : challenges of data gathering
|Author:||Siirtola, Pekka1; Koskimäki, Heli1; Mönttinen, Henna1;|
1Biomimetics and Intelligent Systems Group, P.O. BOX 4500, FI-90014, University of Oulu
|Online Access:||PDF Full Text (PDF, 0.1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2020043023367
|Publish Date:|| 2020-04-30
The wearable sensor market is currently one of the most rapidly growing area in consumer electronics. One of the most interesting application field for wearable sensors is early detection of diseases, seizures and attacks as it would save a huge amount of money from society. In order to train reliable recognition models for these purposes, a high quality training data needs to be collected. This study concentrates on challenges on gathering such data set based on our own experiences when collecting data using wearable sensors to detect migraine attacks.
Proceedings 2nd International Workshop on Smart Sensing Systems (IWSSS ’17)
|Host publication editor:||
International Workshop on Smart Sensing Systems
|Type of Publication:||
D3 Professional conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
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