PATENT CLAIM ANALYSIS

Application Number: 15951089
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["600", "557000"]

Abstract:
An affective system, apparatus and method to analyze pain level states using affective and physiological data collection to determine pain and pain levels in a patient. The system and apparatus includes video cameras to record patient facial or body expressions and movements and combines the recorded expressions and movements with physiological data to determine pain level states in the patient.

Claim (Index 8):
A diagnostic system for diagnosing a pain state level in a patient comprising:\n at least one image capture device to record one or more facial data of the patient; the facial data including one or more of: facial expressions; head, hand or body gestures; or body postures; at least one physiological sensor associated with the patient to measure physiological data; an interactive device in communication with the patient to permit the patient to input quantitative pain data into the diagnostic system; a processor to generate a correlated data output from the one or more facial data, the physiological data, and the quantitative pain data, to determine the pain state level in the patient; and an electronic display to communicate the determined patient pain state level to a health care provider and/or to the patient.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 91.0
- Lexical Diversity: 1.75
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14100885', '15435987', '15259453', '15042370', '13867955']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4421005653699682
- 35 USC 102 Novelty (BERT): 0.4512285189163238
- Combined Prediction Score: 0.4430133607246038
- Mean Citation Score: 145.01592399999996
- Max Citation Score: 149.102
- Similarity Product: 116.63616625118256

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