PATENT CLAIM ANALYSIS

Application Number: 16230734
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-05
Patent Classification: ["600", "316000"]

Abstract:
The present disclosure includes a handheld processing device including medical applications for minimally and noninvasive glucose measurements. In an embodiment, the device creates a patient specific calibration using a measurement protocol of minimally invasive measurements and noninvasive measurements, eventually creating a patient specific noninvasive glucometer. Additionally, embodiments of the present disclosure provide for the processing device to execute medical applications and non-medical applications.

Claim (Index 11):
A monitoring system configured to provide a wearer of a noninvasive sensor measurement values of one or more physiological parameters of the wearer, the monitor comprising:\n said wearable noninvasive sensor configured to output sensor signals responsive to a pulse of the wearer based on detection of attenuated light; a local processing device including a display, said local processing device communicating with said sensor to receive said output sensor signals; one or more remote processing devices communicating with said local processing device to receive data responsive to said output sensor signals, said remote processing devices configured to determine wearer-specific calibration information configured to provide measurement values of said pulse of the wearer, the measurement values responsive to said output sensor signals, said determining with said remote processes sing devices reducing data processing and storage requirements of said local processing device; and said display providing display indicia to said wearer, said indicia responsive to said one or more measurement values.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 98.0
- Lexical Diversity: 1.68293
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14703816', '13726539', '14203243', '14196300', '13110833']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5476747939820239
- 35 USC 102 Novelty (BERT): 0.5225817010071968
- Combined Prediction Score: 0.5451654846845412
- Mean Citation Score: 282.069278
- Max Citation Score: 374.3558
- Similarity Product: 257.9510536304236

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

Dataset: test