PATENT CLAIM ANALYSIS

Application Number: 15744865
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["710", "072000"]

Abstract:
A method, system and computer readable media for a BMI using a fixed decoder based on ratios of different frequency bands, making the decoder robust, less jittery, and resistant to artifacts. The fixed decoder can be configured to use a limited subset of available channels. The decoder can therefore be optimized for each human subject (frequency bands to use, ratios to process the received signals, which channels, weights, etc.) and then fixed. Output from the fixed decoder can be provided to a training program that implements specific feedback and training parameters, thereby enabling subjects to learn to control devices rapidly, as well as consolidate this control. The training program provides continuous feedback of the current transformation being output by the fixed decoder in conjunction with feedback of the past transformations (e.g., up to a second before) and saliency of the feedback when goals of the task are achieved.

Claim (Index 12):
Non-transitory computer readable media comprising program code that when executed by a programmable processor causes execution of a method for generating an output command by a neural processor through use of an operant learning brain-machine interface, the program code comprising:\n program code for selecting one or more electrodes from a plurality of electrodes by program code executing on the neural processor; program code for receiving neural signals at the neural processor from the one or more selected electrodes; program code for setting thresholds based on the received neural signals; program code for setting a timer at the neural processor to define an output command rate; program code for and processing the received neural signals by the neural processor while the timer has not elapsed; and program code for calculating a control command through the use of a fixed decoder in the neural processor that receives the retrieved and processed neural signals as input.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 86.0
- Lexical Diversity: 1.76042
- Patent Class: 710.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14540835', '13695631', '14270016', '14665476', '10922752']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6358965093712312
- 35 USC 102 Novelty (BERT): 0.4625057226714585
- Combined Prediction Score: 0.618557430701254
- Mean Citation Score: 143.52159799999995
- Max Citation Score: 151.03166000000004
- Similarity Product: 112.93877356799368

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

Dataset: test