Sökning: db:Swepub
> Örebro universitet
> Mälardalens universitet >
Health monitoring f...
Health monitoring for elderly : an application using case-based reasoning and cluster analysis
-
- Ahmed, Mobyen Uddin, 1976- (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik,Center for Applied Autonomous Sensor Systems,Örebro University, Sweden,IS (Embedded Systems)
-
- Banaee, Hadi (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik,Center for Applied Autonomous Sensor Systems,Örebro University, Sweden
-
- Loutfi, Amy (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik,Center for Applied Autonomous Sensor Systems,Örebro University, Sweden
-
(creator_code:org_t)
- Sweden : Hindawi Limited, 2013
- 2013
- Engelska.
-
Ingår i: ISRN Artificial Intelligence. - Sweden : Hindawi Limited. - 2090-7435 .- 2090-7443. ; 2013:2013, s. 1-11
- Relaterad länk:
-
https://doi.org/10.1...
-
visa fler...
-
https://oru.diva-por... (primary) (Raw object)
-
https://downloads.hi...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
https://urn.kb.se/re...
-
visa färre...
Abstract
Ämnesord
Stäng
- This paper presents a framework to process and analyze data from a pulse oximeter which measures pulse rate and blood oxygen saturation from a set of individuals remotely. Using case-based reasoning (CBR) as the backbone to the framework, records are analyzed and categorized according to how well they are similar. Record collection has been performed using a personalized health profiling approach where participants wore a pulse oximeter sensor for a fixed period of time and performed specific activities for pre-determined intervals. Using a variety of feature extraction in time, frequency and time-frequency domains, and data processing techniques, the data is fed into a CBR system which retrieves most similar cases and generates alarm and flag according to the case outcomes. The system has been compared with an expert's classification and 90% match is achieved between the expert's and CBR classification. Again, considering the clustered measurements the CBR approach classifies 93% correctly both for the pulse rate and oxygen saturation. Along with the proposed methodology, this paper provides a basis for which the system can be used in analysis of continuous health monitoring and be used as a suitable method as in home/remote monitoring systems.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
Nyckelord
- Health Monitoring
- Elderly
- Case-Based Reasoning
- Cluster Analysis
- Computer Science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas