PATENT CLAIM ANALYSIS

Application Number: 16030617
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["381", "175000"]

Abstract:
Microelectromechanical systems (MEMS) sensors and related bias voltage techniques are described. Exemplary MEMS sensors, such as exemplary MEMS acoustic sensors or microphones described herein can employ one or more bias voltage generators and single-ended or differential amplifier arrangements. Various embodiments are described that can effectively increase the bias voltage available to the sensor element without resorting to high breakdown voltage semiconductor processes. In addition, control of the one or more bias voltage generators in various operating modes is described, based on consideration of a number of factors.

Claim (Index 1):
A microelectromechanical systems (MEMS) microphone, comprising:\n a MEMS microphone element comprising a diaphragm and a backplate disposed in a microphone package; an application specific integrated circuit (ASIC) disposed in the microphone package comprising a first bias voltage generator and a second bias voltage generator, wherein the first bias voltage generator is operatively coupled to the diaphragm and configured to provide a first bias voltage to the diaphragm and the second bias voltage generator is operatively coupled to the backplate and configured to provide a second bias voltage to the backplate, and wherein the second bias voltage is of opposite polarity of the first bias voltage; and electronic circuitry associated with the ASIC operatively coupled to the MEMS microphone element and comprising an amplifier, wherein an input of the amplifier is operatively coupled to at least one of the diaphragm or the backplate via a capacitor.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 95.0
- Lexical Diversity: 1.52381
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15142696', '15614527', '14244149', '14561843', '15216485']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7046691719641044
- 35 USC 102 Novelty (BERT): 0.615680013339311
- Combined Prediction Score: 0.6957702561016251
- Mean Citation Score: 334.080672
- Max Citation Score: 538.7673
- Similarity Product: 533.9312377150833

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