PATENT CLAIM ANALYSIS

Application Number: 16383181
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["340", "573100"]

Abstract:
A method for determining a rate of repetitive bodily motion of an individual with negligible contact with the individual begins by one or more computing devices transmitting a signal for reflection off of the individual and receiving a reflected signal. The method continues with one or more computing device applying a frequency estimation algorithm to the baseband signal to produce an estimated spectral density, where the estimated spectral density is in frequency domain and includes at least one frequency component corresponding to the repetitive bodily motion. The method further includes applying a repetitive bodily motion pattern search function to the estimated spectral density to estimate the rate of the repetitive bodily motion of the individual based on the at least one frequency component.

Claim (Index 20):
The computing device of  claim 14 , wherein the processing module further functions to apply the repetitive bodily motion pattern search function by:\n applying a heartbeat and respiration search function to the estimated spectral density to determine principal frequency components of heartbeat and respiration, wherein the heartbeat and the respiration correspond to the repetitive bodily motion; and estimating a heart rate and a respiration rate from the determined principal frequency components.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 100.0
- Lexical Diversity: 2.08197
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15297943', '12302704', '14403398', '14828452', '12418518']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6662302730554895
- 35 USC 102 Novelty (BERT): 0.5934766762996261
- Combined Prediction Score: 0.6589549133799032
- Mean Citation Score: 235.55666800000003
- Max Citation Score: 518.9309
- Similarity Product: 409.97088748102783

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

Dataset: test