PATENT CLAIM ANALYSIS

Application Number: 15874898
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["607", "054000"]

Abstract:
The present invention provides a neural sensing method, including the steps of: configuring an array of sensing units on a retina of a user; generating a control signal by a control signal generator and generating a plurality of sensing signals by the sensing units of the array of the sensing units; isolating each of the sensing signals by the control signal, thereby suppressing the mutual interference by the control signal; and generating and outputting a processing signal to at least one neuron via a signal processing module with reference to the control signal and the sensing signals. Herein, the sensing signal strength is higher than a threshold of the at least one neuron, and the control signal strength is lower than the threshold of the at least one neuron. In addition, the present invention also provides a neural sensing device for implementing the same method.

Claim (Index 1):
A neural sensing method for retina application, comprising the steps of:\n providing an array of sensing units, wherein each sensing unit of the array of sensing units detects a signal and generates a sensing signal; generating a control signal to the periphery of each sensing unit of the array of sensing units by a control signal generator, wherein the signal strength of the control signal is lower than the signal strength of the sensing signal; suppressing the mutual interference between the sensing units by the control signal; outputting sensing signals by the array of sensing units to the signal processing module; and generating a processing signal by the signal processing module to stimulate at least one neuron, wherein the at least one neuron has a threshold, the sensing signal above the threshold is perceived by the at least one neuron, and the signal strength of the control signal is lower than the threshold.

Metadata:
- Claim Count in Document: 33.0
- Percentile: 86.0
- Lexical Diversity: 2.53226
- Patent Class: 607.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14320398', '13282421', '13282423', '14649859', '14840079']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6332299976244603
- 35 USC 102 Novelty (BERT): 0.473693963077038
- Combined Prediction Score: 0.617276394169718
- Mean Citation Score: 176.441546
- Max Citation Score: 189.95456
- Similarity Product: 137.2710348034668

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

Dataset: test