PATENT CLAIM ANALYSIS

Application Number: 16013904
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["705", "002000"]

Abstract:
Technologies are described for wearable sensor devices and associated analytic systems. Patient data may be collected from the wearable sensors, instruments, caregivers, or from other such devices. The wearable sensor devices may be calibrated according to the collected patient data. The collected data may be calibrated, normalized, and analyzed to generate and track health scores associated the patient. The wearable sensor devices may be leveraged to refine athletic performance, training, and strategy. The wearable sensor devices may be leveraged to predict and detect adverse health events.

Claim (Index 11):
A system for adaptive health score tracking comprising:\n a housing operable to be worn on the body of a patient; a plurality of physiological sensors operable to measure a heart rate, a respiratory rate, a blood pressure, and motion metrics associated with the patient; a bidirectional radio frequency data interface; and one or more processing units associated with one or more processing modules configuring the one or more processing units to: establish communications, via the bidirectional radio frequency data interface, with a cloud-based computing platform, register the patient with the cloud-based computing platform, receive physiological sensor data from the plurality of physiological sensors, calibrate the received physiological sensor data in conjunction with the cloud-based computing platform, generate athletic performance benchmarks associated with the patient according to the received physiological sensor data, apply data analytic processes to the physiological sensor data and the athletic performance benchmarks, compute a periodic health score in response to results from the data analytic processes, and transmit actionable information for athletic training in response to the periodic health score.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 94.0
- Lexical Diversity: 2.10638
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13356153', '14089324', '14569513', '14830533', '14941494']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1038588672369845
- 35 USC 102 Novelty (BERT): 0.4805751062447549
- Combined Prediction Score: 0.1415304911377615
- Mean Citation Score: 173.507956
- Max Citation Score: 174.6927
- Similarity Product: 119.0897301191747

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

Dataset: test