PATENT CLAIM ANALYSIS

Application Number: 16153345
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["600", "508000"]

Abstract:
Disclosed herein are devices, systems, methods and platforms for continuously monitoring the health status of a user, for example the cardiac health status. The present disclosure describes systems, methods, devices, software, and platforms for continuously monitoring a user's health-indicator data (for example and without limitation PPG signals, heart rate or blood pressure) from a user-device in combination with corresponding (in time) data related to factors that may impact the health-indicator (“other-factors”) to determine whether a user has normal health as judged by or compared to, for example and not by way of limitation, either (i) a group of individuals impacted by similar other-factors, or (ii) the user him/herself impacted by similar other-factors.

Claim (Index 1):
A smart watch to detect the presence of an abnormal health-indicator of a user, comprising:\n a processing device; a photoplethysmography (\u201cPPG\u201d) sensor operatively coupled to the processing device; a motion sensor operatively coupled to the processing device; and a memory operatively coupled with the processing device, the memory having instructions stored thereon that, when executed by the processing device, cause the processing device to:\n receive a raw PPG waveform signal from the PPG sensor; \n receive motion sensor data from the motions sensor; \n input the raw PPG waveform signal into a machine learning algorithm trained to detect whether the user's health-indicator data is abnormal; \n detect, by the machine learning algorithm, that the user's health-indicator data is abnormal; and \n generate a notification of the detected abnormal health-indicator data.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 1.86486
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16153446', '14569513', '13868605', '14199495', '14675062']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4550912305926398
- 35 USC 102 Novelty (BERT): 0.4930654939514579
- Combined Prediction Score: 0.4588886569285216
- Mean Citation Score: 192.319912
- Max Citation Score: 287.61884
- Similarity Product: 239.40734622798203

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

Dataset: test