PATENT CLAIM ANALYSIS

Application Number: 16080367
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["381", "060000"]

Abstract:
An exemplary behavioral audiogram generation system 1) determines a noise floor within the cochlea of a patient, 2) presents, by way of a loudspeaker, acoustic stimulation having a predetermined frequency and a predetermined amplitude to the patient, 3) detects an evoked response that occurs in response to the acoustic stimulation, 4) determines an amplitude of the evoked response that occurs in response to the acoustic stimulation, and 5) determines, based on the amplitude of the evoked response, on the predetermined amplitude of the acoustic stimulation, and on the noise floor, a behavioral audiogram value for the patient that corresponds to the predetermined frequency.

Claim (Index 6):
The system of  claim 1 , wherein the at least one physical computing device determines the noise floor by:\n abstaining from presenting any acoustic stimulation to the patient for a predetermined time period; using an electrode implanted within the patient to record a signal while the at least one physical computing device abstains from presenting any acoustic stimulation during the predetermined time period; determining an amplitude of the recorded signal; and designating the determined amplitude of the recorded signal as the noise floor.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 96.0
- Lexical Diversity: 2.53191
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15885553', '14386331', '15515553', '15024022', '14386735']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7305056313532108
- 35 USC 102 Novelty (BERT): 0.5003515813871482
- Combined Prediction Score: 0.7074902263566045
- Mean Citation Score: 241.390044
- Max Citation Score: 254.30104
- Similarity Product: 187.6427397902298

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

Dataset: test