PATENT CLAIM ANALYSIS

Application Number: 16023276
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-11
Patent Classification: ["600", "393000"]

Abstract:
Systems, articles, and methods for improved capacitive electromyography (“EMG”) sensors are described. The improved capacitive EMG sensors include one or more sensor electrode(s) that is/are coated with a protective barrier formed of a material that has a relative permittivity ε r  of about 10 or more. The protective barrier shields the sensor electrode(s) from moisture, sweat, skin oils, etc. while advantageously contributing to a large capacitance between the sensor electrode(s) and the user's body. In this way, the improved capacitive EMG sensors provide enhanced robustness against variations in skin and/or environmental conditions. Such improved capacitive EMG sensors are particularly well-suited for use in wearable EMG devices that may be worn by a user for an extended period of time and/or under a variety of skin and/or environmental conditions. A wearable EMG device that provides a component of a human-electronics interface and incorporates such improved capacitive EMG sensors is described.

Claim (Index 7):
The EMG sensor of  claim 4 , further comprising:\n a ground electrode carried by the substrate, wherein the ground electrode comprises a third electrically conductive plate having a first surface and a second surface, the second surface of the third electrically conductive plate opposite the first surface of the third electrically conductive plate, wherein the first surface of the third electrically conductive plate faces the substrate; and a third electrically conductive pathway that passes through the substrate and communicatively couples the ground electrode to the circuitry.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 1.79592
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16023300', '14539773', '15799621', '14553657', '15799628']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4891070777752773
- 35 USC 102 Novelty (BERT): 0.5250535079492
- Combined Prediction Score: 0.4927017207926696
- Mean Citation Score: 329.940326
- Max Citation Score: 362.56384
- Similarity Product: 347.44151140930177

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