PATENT CLAIM ANALYSIS

Application Number: 16086975
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-05
Patent Classification: ["381", "058000"]

Abstract:
In a capacitively operating MEMS microphone, by varying the BIAS voltage, the pull-in point is determined and the present pull-in voltage and the corresponding pull-in capacitance between membrane and back electrode are ascertained. From the deviation of the present pull-in point from the values of a first pull-in point, these values being determined after an end test and stored in an internal memory of the MEMS microphone, and the likewise stored values at a first operating point a recalibrated BIAS voltage is determined and set in order thereby to bring the sensitivity closer again to that at the original first operating point.

Claim (Index 1):
A method for recalibrating a capacitively operating MEMS microphone,\n wherein the BIAS voltage present at the MEMS microphone is increased step by step in order to ascertain the present pull-in voltage VP a  and the corresponding pull-in capacitance CP a  or the change in capacitance associated with the present increase in the bias voltage at the pull-in point of the MEMS microphone, wherein from the deviation of the present pull-in point from the values of a first pull-in point, said values being determined after an end test and stored in an internal memory of the MEMS microphone, and the values CS 1 , VS 1  of a first operating point a recalibrated bias voltage VS new  is determined and set in order thereby to bring the sensitivity closer again to the sensitivity originally set at the first operating point.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 97.0
- Lexical Diversity: 1.92857
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15304961', '14839446', '14060403', '13836579', '11903905']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7080313276249225
- 35 USC 102 Novelty (BERT): 0.4815000670823821
- Combined Prediction Score: 0.6853782015706684
- Mean Citation Score: 180.983092
- Max Citation Score: 190.5985
- Similarity Product: 141.48524914282558

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

Dataset: test