PATENT CLAIM ANALYSIS

Application Number: 16161914
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["381", "094100"]

Abstract:
The present disclosure relates generally to providing a flexible patch and system for communicating through hard plastic masks such as CPAP/BiPAP® masks. Using electronic circuitry and novel designs, the present systems and methods can detect speech vibrations and output audible speech from hard plastic mask wearers. For example, in certain embodiments, the present systems and methods can recognize speech through a CPAP/BiPAP® mask, filter out non-human voice related noise, and output the resulting speech of the mask wearer.

Claim (Index 9):
A system including a flexible patch for facilitating voice communication through a mask, the system comprising:\n a base comprising an adhesive portion for attaching the base to a mask, wherein the base is operatively connected to a circuit; a transducer operatively connected to the circuit, the transducer for detecting vibrations of the mask through the base and converting the vibrations to data; a flexible substrate element operatively attached to the base and covering at least a portion of the base, the circuit, and the transducer for protecting the circuit and the transducer from outside interference; and an electronic filter operatively connected to the circuit, wherein the electronic filter filters the data to remove frequencies outside of a human voice frequency range, wherein the system is configured to transmit the data to a speaker for broadcasting the data as a representation of human voice.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 97.0
- Lexical Diversity: 1.56364
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15961509', '14082085', '13708781', '11884752', '15513090']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6556239331710325
- 35 USC 102 Novelty (BERT): 0.5073094799535809
- Combined Prediction Score: 0.6407924878492873
- Mean Citation Score: 153.6815532
- Max Citation Score: 294.8619700000001
- Similarity Product: 241.1512082451249

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