PATENT CLAIM ANALYSIS

Application Number: 16165060
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["382", "130000"]

Abstract:
The brain appears to have organized cardiac frequency angiographic phenomena with such coherence as to qualify as vascular pulse waves. Separate arterial and venous vascular pulse waves may be resolved. This disclosure states the method of extracting a spatiotemporal reconstruction of the cardiac frequency phenomena present in an angiogram obtained at faster than cardiac frequency. A wavelet transform is applied to each of the pixel-wise time signals of the angiogram. If there is motion alias then instead a high frequency resolution wavelet transform of the overall angiographic time intensity curve is cross-correlated to high temporal resolution wavelet transforms of the pixel-wise time signals. The result is filtered for cardiac wavelet scale then pixel-wise inverse wavelet transformed. This gives a complex-valued spatiotemporal grid of cardiac frequency angiographic phenomena. It may be rendered with a brightness-hue color model or subjected to further analysis.

Claim (Index 4):
The system of  claim 2  wherein, in applying the second wavelet transform analysis, the processor is programmed to:\n sum an angiographic signal from the angiographic data for each of q frames of n by m pixels, to generate an overall angiographic intensity point for each of q frames to generate an overall angiographic time intensity curve of length q; \n apply a high frequency resolution wavelet transform to the angiographic time intensity curve; \n reformat the angiographic data as an n by m array of time signals each of length q; \n perform a high temporal wavelet transformation on each pixel-wise time signal to generate an n by m array of high temporal resolution wavelet transforms; \n cross-correlate, in a wavelet domain, each pixel-wise high temporal resolution wavelet transform by a single high frequency resolution wavelet transform of the overall angiographic time intensity curve; \n inverse wavelet transform an n by m array of cross-correlated signals in the wavelet domain to generate an n by m array of time domain time signals each of length q; \n reformat the n by m time signals of length q into q frames of n by m pixels, each complex valued; and \n render each frame as an image with a brightness-hue color model to represent a complex datum in each pixel.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 97.0
- Lexical Diversity: 1.75294
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15200083', '10043363', '12634951', '15091288', '14169106']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3484940470796663
- 35 USC 102 Novelty (BERT): 0.5924297178535036
- Combined Prediction Score: 0.3728876141570501
- Mean Citation Score: 253.254898
- Max Citation Score: 560.4252
- Similarity Product: 417.61284641804696

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