PATENT CLAIM ANALYSIS

Application Number: 16310441
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-06
Patent Classification: ["600", "301000"]

Abstract:
The present invention relates to a determination system, a corresponding determination method and a computer program for determining a sleep stage of a subject. The determination system comprises a cardiorespiratory signal providing unit ( 10 ), an actigraphy data providing unit ( 20 ), a first sleep stage determination unit ( 30 ) for determining the sleep stage based on a cardiorespiratory signal, and a second sleep stage determination unit ( 40 ) for determining the sleep stage based on actigraphy data. The first sleep stage determination unit ( 30 ) determines a sleep onset latency (SOL) of the subject. The sleep stage of the subject is determined using the first sleep stage determination unit ( 30 ) up to the SOL and the second sleep stage determination unit ( 40 ) after the SOL. The determination system and corresponding method allow for a more reliable determination of a sleep stage of subject, in particular improve the determination of the SOL of the subject.

Claim (Index 11):
The determination system of  claim 10 , further comprising a training unit for training the first sleep stage classification subunit and the second sleep stage classification subunit, wherein the training unit comprises:\n a cardiorespiratory training signal providing subunit for providing at least one of a cardiac training signal and a respiratory training signal as a cardiorespiratory training signal, an actigraphy training data providing subunit for providing actigraphy training data, a reference annotations providing subunit for providing the sleep stage corresponding to the cardiorespiratory training signal and the actigraphy training data as reference data, wherein the cardiorespiratory signal feature extraction unit is configured to extract at least one of i) one or more cardiac features and ii) one or more respiratory features from the cardiorespiratory training signal, wherein the training unit is configured to train the first sleep stage classification subunit based on the extracted cardiac features and respiratory features and the reference data, and wherein the training unit is configured to train the second sleep stage classification subunit based on the actigraphy training data and the reference data.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 98.0
- Lexical Diversity: 3.2
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15536680', '14435319', '14429589', '12302704', '10790885']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4721028680717498
- 35 USC 102 Novelty (BERT): 0.497218416705262
- Combined Prediction Score: 0.474614422935101
- Mean Citation Score: 211.490238
- Max Citation Score: 252.28531
- Similarity Product: 166.40032781734587

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test