PATENT CLAIM ANALYSIS

Application Number: 15927879
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["600", "324000"]

Abstract:
Medical devices, plug-ins, systems, and methods for CPR quality feedback are disclosed. The medical devices can calculate peripheral circulation relevant parameters based on measured signals containing at least partial hemodynamic characteristics. Amplitude and area characteristics included in the peripheral circulation relevant parameters can further be determined for providing feedback and control relating to CPR quality during the compression process. Also, compression interruption during CPR can be evaluated based on a pulse waveform generated from the measured signals.

Claim (Index 25):
A cardio-pulmonary resuscitation (CPR) monitoring method, comprising:\n emitting at least one light signal into human tissue; and receiving the at least one light signal after the at least one light signal has passed through the human tissue; converting the at least one light signal into at least one electrical signal; converting the at least one electrical signal into at least one digital signal including a real-time pulsatile perfusion characteristic; processing the at least one digital signal to obtain at least one peripheral circulation parameter related to CPR quality, wherein the real-time pulsatile perfusion characteristic is obtained by separating a fluctuant component and a constant component of the at least one digital signal, and wherein the CPR quality is related to at least one of the separated fluctuant component and constant component; and outputting information corresponding to the at least one peripheral circulation parameter.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 1.54545
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14497209', '14462418', '14231944', '15034015', '15000770']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4869713081458089
- 35 USC 102 Novelty (BERT): 0.6121656828114019
- Combined Prediction Score: 0.4994907456123683
- Mean Citation Score: 311.026978
- Max Citation Score: 578.1544
- Similarity Product: 525.781632760477

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

Dataset: test