PATENT CLAIM ANALYSIS

Application Number: 16200616
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-06
Patent Classification: ["370", "330000"]

Abstract:
Methods, apparatus and systems for detecting and monitoring vital signs in real time are disclosed. In one example, a system for monitoring a repeating motion in a venue is disclosed. The system comprises a transmitter, a receiver, and a repeating motion monitor. The transmitter is located at a first position in the venue and configured for transmitting a wireless signal through a wireless multipath channel impacted by the repeating motion of an object in the venue. The receiver is located at a second position in the venue and configured for: receiving the wireless signal through the wireless multipath channel impacted by the repeating motion of the object in the venue, and obtaining a time series of channel information (CI) of the wireless multipath channel based on the wireless signal. The repeating motion monitor is configured for: monitoring a periodic characteristics of the repeating motion of the object based on the time series of CI.

Claim (Index 5):
The system of  claim 4 , wherein:\n each CI comprises at least one of:\n a channel frequency response (CFR) comprising N1 complex frequency components each of which is associated with a frequency, \n a channel impulse response (CIR) comprising N1 complex time components each of which is associated with a time, and \n a decomposition with N1 components each of which is associated with an index; \n the feature comprises at least one of: phase, magnitude, real component, purely imaginary component, mean, mode, median, expected value, variance, square, cube, power, polynomial, exponential, derivative, and integration; the respective transform comprises at least one of: Fourier transform, Sine transform, Cosine transform, Laplace transform, wavelet transform, Hadamard transform, Hilbert transform, slant transform, sparse transform, graph-based transform, lowpass filtering, highpass filtering, bandpass filtering, finite-impulse-response (FIR) filtering, infinite-impulse-response (IIR) filtering, linear filtering, convolution, nonlinear function, statistical function, mean function, variance function, autocorrelation function (ACF), moment generating function, nonlinear filtering, signal processing, graph-based processing, particle filtering, integration, differentiation, first order derivative, second order derivative, high order derivative, neural network, learning network, feature extraction, denoising, smoothing, signal enhancement, coding, encryption, mapping, remapping, vector quantization, autoregressive (AR) filtering, moving average (MA) filtering, autoregressive moving average (ARMA) filtering, median filtering, mode filtering, ordered statistics filtering, percentile filtering, eigen-decomposition, singular-value decomposition, orthogonal decomposition, sparse approximation, principle component analysis (PCA), and independent component analysis (ICA), projection, decomposition, sampling, re-sampling, random sampling, down-sampling, up-sampling, interpolation, and extrapolation; and the combined sliding function comprises at least one of: arithmetic mean, geometric mean, harmonic mean, power mean, f-mean, linear combination, weighted mean, weighted arithmetic mean, weighted geometric mean, weighted harmonic mean, weighted truncated mean, interquartile mean, and generalized mean, of the N1 component functions.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 98.0
- Lexical Diversity: 2.81667
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15873806', '16101444', '14767507', '16060710', '15562751']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4832363038056524
- 35 USC 102 Novelty (BERT): 0.5212368624074362
- Combined Prediction Score: 0.4870363596658308
- Mean Citation Score: 203.525124
- Max Citation Score: 307.7458
- Similarity Product: 189.8197220344305

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