PATENT CLAIM ANALYSIS

Application Number: 15919578
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["600", "546000"]

Abstract:
A system and method for profiling electrical activity in smooth muscle of the gastrointestinal tract muscular of a patient are disclosed. The system includes electromyographic-sensing patches adapted for placement on the skin of the abdomen of the patient. Each patch has at least one bipolar electrode pair, or a multitude arranged in an array, and is enabled for communication of a signal indicative of a sensed electromyographic signal. The system further includes networked computing devices. The local patch device is configured for wireless communication between the EMG-sensing patches and a local computing device, to enable wireless transmission from the patch to the networked computing devices. The networked computing device is configured to process large aggregate collections of multi-hour or day signals received from the local computing device to yield diagnostically valuable physiological parameters of gastrointestinal smooth muscle electrical activity.

Claim (Index 17):
The wearable, non-invasive wireless electrodiagnostic system of claim  1 , wherein the patch comprises a memory capacity sufficient to store accumulated signal for a period of up to at least one hour.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 90.0
- Lexical Diversity: 1.87342
- Patent Class: 600.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14051440', '15518929', '15249695', '14217402', '14764830']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4952645065712442
- 35 USC 102 Novelty (BERT): 0.576252165589633
- Combined Prediction Score: 0.5033632724730832
- Mean Citation Score: 234.81488
- Max Citation Score: 434.7767
- Similarity Product: 427.6493252702237

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

Dataset: test