PATENT CLAIM ANALYSIS

Application Number: 16014007
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 1):
A method for health event prediction and detection comprising:\n registering a patient; establishing communications with a wearable sensor device associated with the patient; receiving physiological sensor data associated with patient from the wearable sensor device; calibrating the wearable sensor device according to the received physiological sensor data; applying data analytic processes to the physiological sensor data; computing a periodic health score in response to results from the data analytic processes; detecting an adverse health event in response to the periodic health score; and transmitting actionable information associated with the detected adverse health event.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.10638
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11616430', '13726786', '15548694', '15685991', '15649725']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0962351826454572
- 35 USC 102 Novelty (BERT): 0.4554017341526965
- Combined Prediction Score: 0.1321518377961811
- Mean Citation Score: 172.641986
- Max Citation Score: 182.60516
- Similarity Product: 129.5123783304453

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

Dataset: test