PATENT CLAIM ANALYSIS

Application Number: 15867208
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["600", "331000"]

Abstract:
Methods and systems are presented for determining whether a regional oximetry sensor is properly positioned on a subject. First and second metric values may be determined based on respective first and second light signals. The first and second metric values and a relationship between the first and second metrics are used to determine whether the sensor is properly positioned on the subject. The first and second metrics may form a pair of metrics, and whether the sensor is properly positioned on the subject may be determined based on whether the pair of metrics falls within a sensor-on region. In some embodiments, a plurality of metrics may be determined based on a plurality of received physiological signals. The plurality of metrics may be combined, using, for example, a neural network, to determine whether the regional oximetry sensor is properly positioned on a subject.

Claim (Index 22):
A method comprising:\n receiving a first signal representative of an intensity of light at a first detector of a regional oximetry sensor; receiving a second signal representative of an intensity of light at a second detector of the regional oximetry sensor; determining, by one or more processors, a first metric value based on the first signal; determining, by the one or more processors, a second metric value based on the second signal; determining, by the one or more processors, a combination metric value based on the first metric value and the second metric value; and determining, by one or more processors, based on the combination metric value, that the regional oximetry sensor is not properly positioned relative to a target site on a subject.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 2.70175
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14605891', '13776686', '15006018', '13609480', '13609500']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4251049671872726
- 35 USC 102 Novelty (BERT): 0.5205059692211621
- Combined Prediction Score: 0.4346450673906615
- Mean Citation Score: 233.15249
- Max Citation Score: 345.25433
- Similarity Product: 307.9924690893846

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

Dataset: test