Riemannian Geometry in Sleep Stage Classication
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00316486" target="_blank" >RIV/68407700:21230/17:00316486 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21460/17:00316486 RIV/68407700:21730/17:00316486
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-64265-9_8" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-64265-9_8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-64265-9_8" target="_blank" >10.1007/978-3-319-64265-9_8</a>
Alternative languages
Result language
angličtina
Original language name
Riemannian Geometry in Sleep Stage Classication
Original language description
The study is devoted to the sleep stage identication prob- lem. Proposed method is based on calculation of covariance matrices from segments of multi-modal recordings. Mathematical properties of the extracted covariance matrices allow to dene a distance between two segments - a distance in a Riemannian manifold. In the paper we tested minimum distance to a class center and k-nearest-neighbours classiers with the Riemannian metric as a distance between two objects, and clas- sication in a tangent space to a Riemannian manifold. Methods were tested on the data of patients suering from sleep disorders. The max- imum obtained accuracy for KNN is 0:94, for minimum distance to a class center it is only 0:816 and for classication in a tangent space is 0:941.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Information Technology in Bio- and Medical Informatics
ISBN
978-3-319-64264-2
ISSN
0302-9743
e-ISSN
—
Number of pages
8
Pages from-to
92-99
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Lyon
Event date
Aug 28, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—