PATENT CLAIM ANALYSIS

Application Number: 16139601
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["600", "560000"]

Abstract:
An apparatus and method are provided for use in studying a patient's bowel which combines recording and analysis of physiologic parameters and patient sensory perception. A pain input detector, a pain transducer, and a processor are provided. A gas pressure transducer and flow meter may also be provided. Output data may be generated to reflect perceived patient pain, volume of gas delivered to the patient's bowel, and bowel pressure. An indication of perceived patient pain is processed by the processor to generate data that may used to validate a scan of a patient or may be used as a diagnostic tool.

Claim (Index 21):
An apparatus configured to provide a representation indicative of a scanning condition of a patient's colon, the apparatus comprising:\n a pressure transducer configured to detect a pressure level of gas within a patient's colon and to generate an output indicative of the pressure level of gas detected; a flow meter configured to detect a volume level of gas delivered to the patient's colon and to generate an output indicative of the volume level of gas detected; a visual display; and a processor in communication with the pressure transducer, the flow meter, and the visual display, wherein the processor is configured to receive the outputs from the pressure transducer and the flow meter and to cause the visual display to present a representation of at least one of the pressure level or the volume level detected within the patient's colon.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 97.0
- Lexical Diversity: 1.86667
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14459365', '13302484', '13379757', '12896331', '11562701']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3873252958617757
- 35 USC 102 Novelty (BERT): 0.5363514226514268
- Combined Prediction Score: 0.4022279085407408
- Mean Citation Score: 187.323402
- Max Citation Score: 381.96307
- Similarity Product: 322.9674853203285

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

Dataset: test