Nokia Mobile Phones Limited

Oulun Yliopisto

Cerenion Oy

Nokia Corporation

Tapio Seppänen

Jorma Lilleberg

Timo Kolehmainen

Jukka Kortelainen

Esa Tuulari

Eero Väyrynen

Mari Karsikas

Risto Lustila

Heikki Huikuri

Jani Tikkanen

Tuomas Kenttä

Olli Vuorinen

Juha Röning

Lauri Salomäki

Vesa-Matti Mäntyla

An apparatus comprises a data processing unit () which receives electroencephalographic data based on a measurement of a person () exposed to anesthetic drug substance which has one or more estimated or measured non-zero levels of concentration in the body () of the person () as a function of time; and determines and present activity of slow waves of the electroencephalographic data at the one or more estimated or measured levels of the non-zero concentration of the anesthetic drug substance.

Apparatus and method for electroencephalographic examination

An apparatus, a method, and a computer program for predicting a risk for a cardiac death are presented. Early repolarization patterns in leads of an electrocardiogram recorded from a subject are detected if an amplitude of a J-point at a QRS complex and ST segment junction of a lead exceeds a predetermined amplitude threshold. Amplitude patterns of ST segments in leads of the electrocardiogram are also determined. Finally, an elevated risk for a future cardiac death of the subject on the basis of a possible arrhythmia is predicted if early repolarization patterns are detected in at least two leads of the electrocardiogram, and if the ST segments in the at least two leads of the electrocardiogram are determined to have a horizontal or descending amplitude pattern.

Apparatus, method, and computer program for predicting risk for cardiac death

The invention relates to a method and a filter for distinguishing signal components from one another, whereof at least one comprises a periodic signal sequence. In the solution samples are taken during several signal sequences () and a signal sequence model is formed by arranging the samples taken from several signal sequences () together so that the samples represent a single signal sequence () model and the signal sequence model is specified by filtering.

Method for distinguishing signals from one another, and filter

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Oulu, Finland

Tapio Seppänen