PATENT CLAIM ANALYSIS

Application Number: 16378176
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["600", "301000"]

Abstract:
A system and method that includes receiving data from sensors such as electroencephalography, heart rate, accelerometer, blood oxygen saturation, pressure, temperature, and galvanic skin response sensors; determining user physiological information such as brain activity patterns during sleep, quantity of movement during sleep, breathing depth and rate, blood pressure, heart rate and stroke volume, heart rate variability, perspiration level and stress level based, at least in part, on sensor data; evaluating the physiological information to determine at least one of sleep quality, sleep apnea potential, quality of physical activity, and need for stress management for a user; and providing to user based, at least in part, on the evaluation, at least one recommendation such as timing, intensity, level, and type of physical activity to improve sleep quality, time and type of food consumption to improve sleep quality, relaxation techniques to reduce stress level, and nutritional supplements to improve sleep quality.

Claim (Index 12):
A system, comprising:\n a plurality of sensors associated with a user; wherein the plurality of sensors comprises:\n at least one of the following:\n (i) a heart rate sensor or heart rate sensors to detect a heart rate of the user, \n (ii) a heart rate variability (HRV) sensor or HRV sensors to detect a heart rate variability (HRV) of the user, \n (iii) a stress level sensor or stress level sensors to detect a stress level of the user, \n (iv) a blood flow sensor or blood flow sensors to detect a blood flow of the user, \n (v) a breathing pattern sensor or breathing patter sensors to detect a breathing pattern of the user, \n (vi) a blood pressure sensor or blood pressure sensors to detect a blood pressure of the user, \n (vii) a sensor or sensors to detect a blood oxygen level of the user, \n (vi) an accelerometer sensor or accelerometer sensors configured to detect at least one movement pattern of the user, \n (vii) an electroencephalography (EEG) sensor or EEG accelerometer sensors to detect a brain activity pattern of the user, \n (viii) a temperature sensor or temperature sensors configured to detect a temperature of the user, or \n (ix) a galvanic skin response sensor or galvanic skin response sensors configured for detecting a perspiration level of the user; \n \n wherein the user-specific data comprises:\n (i) medical data of the user, \n (ii) nutritional data of the user, \n (iii) historical sleep data of the user, \n (iv) exercise data of the user, or \n (v) well-being data of the user; \n a plurality of external electrodes;\n wherein each respective external electrode of the plurality of external electrodes is positioned on an external surface of skin of the user; \n at least one specialized computer machine, comprising: a non-transient memory having at least one region for storing particular computer executable program code; and at least one processor for executing the particular program code stored in the memory, wherein the particular program code is configured to at least perform the following operations: electronically receive sensor data from the plurality of sensors and user-specific data; dynamically determine a personalized stimulation plan associated with the user based on the sensor data and the user-specific data; dynamically activate, based on the personalized stimulation plan of the user, a plurality of external electrodes to deliver a treatment chosen from:\n at least one first transcutaneous electrical nerve stimulation, \n at least one first transcutaneous microcurrent electrical neuromuscular stimulation, and \n an electric acupuncture application; \n wherein each of the external electrodes is associated with a particular electrode simulation location, a particular simulation frequency or frequencies, a particular simulation pattern, a particular simulation intensity, and a particular simulation duration; wherein the personalized stimulation plan of the user is based, at least in part, on an evaluation of at least one of the following for the user:\n (i) the blood pressure, \n (ii) the brain activity pattern, \n (iii) the sleeping pattern, \n (iv) an effectiveness of at least one of the particular simulation frequency or simulation frequencies, the particular simulation pattern, the particular simulation intensity, and the particular simulation duration, \n (v) the medical data of the user; \n (vi) the stress level data, \n (vii) the movement pattern of the user, or \n (viii) the blood flow of the user.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 100.0
- Lexical Diversity: 2.18293
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14825391', '14866535', '14670169', '14807061', '14617514']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4616351622462171
- 35 USC 102 Novelty (BERT): 0.5298025303978129
- Combined Prediction Score: 0.4684518990613766
- Mean Citation Score: 222.35053
- Max Citation Score: 388.6795
- Similarity Product: 299.7345027632713

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

Dataset: test