PATENT CLAIM ANALYSIS

Application Number: 16200608
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["455", "067110"]

Abstract:
Methods, apparatus and systems for detecting and monitoring vital signs and other periodic motions of an object are disclosed. In one example, a system for monitoring object motion in a venue is disclosed. The system comprises a transmitter, a receiver, and a vital sign estimator. 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 a pseudo-periodic 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 pseudo-periodic motion of the object in the venue, and obtaining at least one time series of channel information (TSCI) of the wireless multipath channel based on the wireless signal. The vital sign estimator is configured for: determining that at least one portion of the at least one TSCI in a current sliding time window is associated with the pseudo-periodic motion of the object in the venue, and computing a current characteristics related to the pseudo-periodic motion of the object in the current sliding time window based on at least one of: the at least one portion of the at least one TSCI in the current sliding time window, at least one portion of the at least one TSCI in a past sliding time window, and a past characteristics related to the pseudo-periodic motion of the object in the past sliding time window.

Claim (Index 6):
The system of  claim 1 , wherein the vital sign estimator comprises a spectral analyzer configured for:\n for each CI of a particular portion of the at least one TSCI in the current sliding time window:\n converting N1 frequency domain components of the channel information using an inverse frequency transform to N2 time domain coefficients of the channel information, wherein: each channel information is associated with a timestamp, N2 is not smaller than N1, each of the N2 coefficients is associated with a time delay, and the inverse frequency transform comprises at least one of: inverse Fourier transform, inverse Laplace transform, inverse Hadamard transform, inverse Hilbert transform, inverse sine transform, inverse cosine transform, inverse triangular transform, inverse wavelet transform, inverse integer transform, inverse power-of-2 transform, combined zero padding and transform, and inverse Fourier transform with zero padding, and \n retaining first C of the N2 time domain coefficients, wherein C is not larger than N2; and \n when needed, correcting timestamps of all channel information of the particular portion of the at least one TSCI in the current sliding time window so that the corrected timestamps of time-corrected channel information are uniformly spaced in time, wherein correcting the timestamps comprises:\n identifying a particular CI with a particular timestamp to be replaced by a time-corrected CI with a corrected timestamp, and \n computing the time-corrected CI by computing the C retained time domain coefficients of the time-corrected CI at the corrected timestamp using an interpolation filter associated with the corrected timestamp, \n wherein the current characteristics related to the pseudo-periodic motion of the object is computed based on the C retained time domain coefficients of the CI of the particular portion of the at least one TSCI in the current sliding time window.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 98.0
- Lexical Diversity: 3.54667
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16200616', '15873806', '16101444', '16060710', '14767507']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.71413607512238
- 35 USC 102 Novelty (BERT): 0.5694161224305143
- Combined Prediction Score: 0.6996640798531933
- Mean Citation Score: 288.069746
- Max Citation Score: 492.29056
- Similarity Product: 355.4833750671387

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