PATENT CLAIM ANALYSIS

Application Number: 16191922
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-06
Patent Classification: ["600", "534000"]

Abstract:
There is provided a respiratory waveform drawing system. The system includes: load detectors configured to detect loads of the subjects and output them as a load signal; a subject number determination unit configured to determine a number of the subjects on the bed based on a frequency spectrum of the load signal; a waveform separation unit configured to separate a load component of each of the subjects from the load signal outputted from each of the plurality of load detectors; a center of gravity position calculation unit configured to calculate a position of a center of gravity of each of the subjects based on the separated load component of each of the subjects; and a waveform drawing unit configured to draw a respiratory waveform of each of the subjects based on a temporal variation of the position of the center of gravity of each of the subjects.

Claim (Index 4):
A respiratory waveform drawing system according to a  claim 1 , further comprising a drawing compensation unit configured to compensate a drawing state of the respiratory waveform of each of the subjects,\n wherein the drawing compensation unit comprises:\n a predictive waveform generation unit configured to generate a predictive waveform for each of the subjects based on the respiratory waveform in a past; and \n a correction distance calculation unit configured to calculate, for each of the subjects, a distance between the respiratory waveform and the predictive waveform at a predetermined sampling time point, \n the drawing compensation unit being configured to compensate the drawing state of the respiratory waveform of each of the subjects depending on the distance.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 98.0
- Lexical Diversity: 2.90566
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16191808', '16191849', '15880947', '12084297', '11393668']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4725353735688551
- 35 USC 102 Novelty (BERT): 0.5712411694398647
- Combined Prediction Score: 0.4824059531559561
- Mean Citation Score: 294.70535
- Max Citation Score: 476.77014
- Similarity Product: 434.516237661016

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

Dataset: test