Abstract
Disclosed is a method for training a sleep-related event detection model, a corresponding method of sleep-related event detection as well as a corresponding computer program, data structure and data processing device. The training method may comprise a step of providing, as input, a set of training data samples. Each training data sample may comprise one or more cardiac signals representative of a cardiac parameter of a subject, one or more audio recording signals representative of an environmental sound of the subject and at least a first and second sleep-related event of the subject associated with the one or more cardiac and audio recording signals of the subject. The method may comprise a step of training the sleep-related event detection model using the input.
| Original language | English |
|---|---|
| Patent number | WO2025082805 |
| Priority date | 19/10/23 |
| Filing date | 9/10/24 |
| Publication status | Published - 24 Apr 2025 |
| Externally published | Yes |
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