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Individualized Stress Diagnosis Using Calibration and Case-Based Reasoning
Mälardalens högskola, Institutionen för datavetenskap och elektronik.ORCID-id: 0000-0002-1212-7637
Mälardalens högskola, Institutionen för datavetenskap och elektronik.ORCID-id: 0000-0003-3802-4721
Mälardalens högskola, Institutionen för datavetenskap och elektronik.ORCID-id: 0000-0002-5562-1424
Mälardalens högskola, Institutionen för datavetenskap och elektronik.ORCID-id: 0000-0001-9857-4317
Vise andre og tillknytning
2007 (engelsk)Inngår i: Proceedings of the 24th annual workshop of the Swedish Artificial Intelligence Society, Borås, Sweden, 2007, s. 59-69Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Diagnosing stress is difficult even for experts due to large individual variations. Clinician's use today manual test procedures where they measure blood pressure, ECG, finger temperature and breathing speed during a number of exercises. An experienced clinician makes diagnosis on different readings shown in a computer screen. There are only very few experts who are able to diagnose and predict stress-related problems. In this paper we have proposed a combined approach based on a calibration phase and case-based reasoning to provide assistance in diagnosing stress, using data from the finger temperature sensor readings. The calibration phase helps to establish a number of individual parameters. The system uses a case-based reasoning approach and also feedback on how well the patient succeeded with the different test, used for giving similar cases reliability estimates.

sted, utgiver, år, opplag, sider
2007. s. 59-69
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-7002OAI: oai:DiVA.org:mdh-7002DiVA, id: diva2:237012
Konferanse
24th annual workshop of the Swedish Artificial Intelligence Society, Borås, Sweden
Tilgjengelig fra: 2009-09-25 Laget: 2009-09-25 Sist oppdatert: 2017-01-25bibliografisk kontrollert

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