Oura Health Oy

Oulun Yliopisto

Mari Karsikas

Heli Koskimäki

Petteri Lajunen

Johanna Still

Hannu Olavi Kinnunen

Harri Laakkonen

Matias Kukka

Janne Kukka

Alec Singleton

Tapio Seppänen

Tomi Liiten

Veli-Pekka Kullervo Halme

Heikki Huikuri

Kaisa Helena Tarvainen

Jani Tikkanen

Marcus Ziade

Henri Huttunen

Tuomas Kenttä

Mats Kyyrö

Methods, systems, and devices for device-inputted commands are described. A system may receive physiological data, including motion data, associated with a user from a wearable device worn by the user and may detect multiple motion pulses based on the motion data, where each motion pulse includes motion data that exceeds a motion threshold. The system may additionally identify an input command pattern comprising at least one motion pulse preceded and followed by a static period in a time domain. Additionally, the system may identify one or more user inputs based on the input command pattern matching a reference command pattern and generate one or more instructions based on identifying the one or more user inputs.

Ring-inputted commands

A method and system for supplemental sleep detection is described. A system may receive data associated with a user from a wearable device worn by the user, and may detect a primary sleep period for the user based on the received data. The system may additionally detect a supplemental sleep period including a duration that exceeds a threshold duration based on the received data. In some implementations, the system may cause a graphical user interface (GUI) of a user device to display an indication of the detected supplemental sleep period, and may receive a confirmation of the supplemental sleep period via the user device and in response to the indication of the detected supplemental sleep period. The system may subsequently generate one or more insights associated with the user based on the primary sleep period and the supplemental sleep period and, in some implementations, in response to the confirmation.

Method and system for supplemental sleep detection

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

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Oulu, Finland

Mari Karsikas