Personalized dynamic system and method of health and wellness treatment

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.

What is claimed is: 
     
         1 . A computer-implemented personalized dynamic method, comprising:
 providing a plurality of sensors associated with a user;   electronically receiving, by at least one specifically programmed computer processor, sensor data from the plurality of sensors and user-specific data;   wherein the plurality of sensors comprises:
 at least one of the following:
 (i) a heart rate sensor or heart rate sensors to detect a heart rate of the user, 
 (ii) a heart rate variability (HRV) sensor or HRV sensors to detect a heart rate variability (HRV) of the user, 
 (iii) a stress level sensor or stress level sensors to detect a stress level of the user, 
 (iv) a blood flow sensor or blood flow sensors to detect a blood flow of the user, 
 (v) a breathing pattern sensor or breathing patter sensors to detect a breathing pattern of the user, 
 (vi) a blood pressure sensor or blood pressure sensors to detect a blood pressure of the user, 
 (vii) a sensor or sensors to detect a blood oxygen level of the user, 
 (vi) an accelerometer sensor or accelerometer sensors configured to detect at least one movement pattern of the user, 
 (vii) an electroencephalography (EEG) sensor or EEG accelerometer sensors to detect a brain activity pattern of the user, 
 (viii) a temperature sensor or temperature sensors configured to detect a temperature of the user, or 
 (ix) a galvanic skin response sensor or galvanic skin response sensors configured for detecting a perspiration level of the user; 
 
   wherein the user-specific data comprises:
 (i) medical data of the user, 
 (ii) nutritional data of the user, 
 (iii) historical sleep data of the user, 
 (iv) exercise data of the user, or 
 (v) well-being data of the user; 
   dynamically determining, by the processor, a personalized stimulation plan associated with the user based on the sensor data and the user-specific data;   dynamically activating, by the processor, based on the personalized stimulation plan of the user, a plurality of external electrodes to deliver a treatment chosen from:
 at least one first transcutaneous electrical nerve stimulation, 
 at least one first transcutaneous microcurrent electrical neuromuscular stimulation, and 
 an electric acupuncture application; 
   wherein each respective external electrode of the plurality of external electrodes is positioned on an external surface of skin of the user;   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:
 (i) the blood pressure, 
 (ii) the brain activity pattern, 
 (iii) the sleeping pattern, 
 (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, 
 (v) the medical data of the user; 
 (vi) the stress level data, 
 (vii) the movement pattern of the user, or 
 (viii) the blood flow of the user. 
   
     
     
         2 . The method of  claim 1 , wherein the plurality of external electrodes is activated by the at least one specifically programmed computer processor based, at least in part, on the user data. 
     
     
         3 . The method of  claim 1 , further comprising:
 dynamically providing to the user, by the at least one specifically programmed computer processor, at least one of the following:
 (i) at least one physical activity recommendation identifying at least one of:
 1) a recommended timing of at least one physical activity, 
 2) a recommended intensity of the at least one physical activity, 
 3) a recommended level of the at least one physical activity, or 
 4) a recommended type of the at least one physical activity, 
 
 (ii) at least one food consumption recommendation identifying at least one of:
 1) a recommended time of food consumption or 
 2) a recommended type of the food consumption; 
 
 (iii) at least one relaxation recommendation identifying at least one recommended relaxation technique, or 
 (iv) at least one nutritional supplements recommendation identifying at least one recommended nutritional supplement. 
   
     
     
         4 . The method of  claim 1 , further comprising:
 providing, to the user, at least one gaming device configured to electronically receive at least one of the sensor data or the personalized stimulation plan of the user; and   wherein the at least one gaming device is configured to dynamically activate, based on the personalized stimulation plan of the user, the plurality of external electrodes to deliver the treatment.   
     
     
         5 . The method of  claim 4 , wherein the at least one gaming device is a virtual reality gaming device. 
     
     
         6 . The method of  claim 1 , further comprising:
 providing, to the user, a headband, a wristband, or both; and   wherein at least one external electrode of the plurality of external electrodes is positioned in the headband, the wristband, or both.   
     
     
         7 . The method of  claim 6 , wherein the headband, the wristband, or both, comprise the plurality of sensors. 
     
     
         8 . The method of  claim 7 , wherein the plurality of sensors comprises at least two sensors chosen from:
 (i) the at least one electroencephalography sensor,   (ii) the at least one accelerometer sensor,   (iii) the at least one blood oxygen saturation sensor,   (iv) the at least one heart rate sensor,   (v) the at least one pressure sensor,   (vi) the at least one temperature sensor, and   (vii) the at least one galvanic skin response sensor.   
     
     
         9 . The method of  claim 1 , further comprising:
 enabling, by the processor, the user to set at least one Trigger Event (TE) based on at least one deviation from at least one pre-set biological parameter, at least one pre-set mental parameter, or both;   causing, by the processor, a performance of at least one Suggested Action or Automatic Action (SAC).   
     
     
         10 . The method of  claim 9 , wherein the at least one deviation is determined based at least in part on the sensor data. 
     
     
         11 . The method of  claim 9 , wherein the at least one SAC is chosen from:
 1) activating the plurality of external electrodes to deliver the treatment;   2) recommending at least one breathing exercise,   3) recommending a music piece,   4) recommending at least one dietary supplement, and   5) generating an assistance invoking alert to at least one third party associated with the user.   
     
     
         12 . A system, comprising:
 a plurality of sensors associated with a user;   wherein the plurality of sensors comprises:
 at least one of the following:
 (i) a heart rate sensor or heart rate sensors to detect a heart rate of the user, 
 (ii) a heart rate variability (HRV) sensor or HRV sensors to detect a heart rate variability (HRV) of the user, 
 (iii) a stress level sensor or stress level sensors to detect a stress level of the user, 
 (iv) a blood flow sensor or blood flow sensors to detect a blood flow of the user, 
 (v) a breathing pattern sensor or breathing patter sensors to detect a breathing pattern of the user, 
 (vi) a blood pressure sensor or blood pressure sensors to detect a blood pressure of the user, 
 (vii) a sensor or sensors to detect a blood oxygen level of the user, 
 (vi) an accelerometer sensor or accelerometer sensors configured to detect at least one movement pattern of the user, 
 (vii) an electroencephalography (EEG) sensor or EEG accelerometer sensors to detect a brain activity pattern of the user, 
 (viii) a temperature sensor or temperature sensors configured to detect a temperature of the user, or 
 (ix) a galvanic skin response sensor or galvanic skin response sensors configured for detecting a perspiration level of the user; 
 
   wherein the user-specific data comprises:
 (i) medical data of the user, 
 (ii) nutritional data of the user, 
 (iii) historical sleep data of the user, 
 (iv) exercise data of the user, or 
 (v) well-being data of the user; 
   a plurality of external electrodes;
 wherein each respective external electrode of the plurality of external electrodes is positioned on an external surface of skin of the user; 
   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:
 at least one first transcutaneous electrical nerve stimulation, 
 at least one first transcutaneous microcurrent electrical neuromuscular stimulation, and 
 an electric acupuncture application; 
   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:
 (i) the blood pressure, 
 (ii) the brain activity pattern, 
 (iii) the sleeping pattern, 
 (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, 
 (v) the medical data of the user; 
 (vi) the stress level data, 
 (vii) the movement pattern of the user, or 
 (viii) the blood flow of the user. 
   
     
     
         13 . The system of  claim 12 , wherein the particular program code is further configured to at least perform:
 dynamically provide, to the user, at least one of the following:
 (i) at least one physical activity recommendation identifying at least one of:
 1) a recommended timing of at least one physical activity, 
 2) a recommended intensity of the at least one physical activity, 
 3) a recommended level of the at least one physical activity, or 
 4) a recommended type of the at least one physical activity, 
 
 (ii) at least one food consumption recommendation identifying at least one of:
 1) a recommended time of food consumption or 
 2) a recommended type of the food consumption; 
 
 (iii) at least one relaxation recommendation identifying at least one recommended relaxation technique, or 
 (iv) at least one nutritional supplements recommendation identifying at least one recommended nutritional supplement. 
   
     
     
         14 . The system of  claim 12 , further comprising:
 at least one gaming device configured to electronically receive at least one of the sensor data or the personalized stimulation plan of the user; and   wherein the at least one gaming device is configured to dynamically activate, based on the personalized stimulation plan of the user, the plurality of external electrodes to deliver the treatment.   
     
     
         15 . The system of  claim 14 , wherein the at least one gaming device is a virtual reality gaming device. 
     
     
         16 . The system of  claim 15 , further comprising a headband, a wristband, or both. 
     
     
         17 . The system of  claim 16 , wherein at least one external electrode of the plurality of external electrodes is positioned in the headband, the wristband, or both.
 wherein the headband, the wristband, or both, comprise the plurality of sensors.   
     
     
         18 . The system of  claim 17 , wherein the plurality of sensors comprises at least two sensors chosen from:
 (i) the at least one electroencephalography sensor,   (ii) the at least one accelerometer sensor,   (iii) the at least one blood oxygen saturation sensor,   (iv) the at least one heart rate sensor,   (v) the at least one pressure sensor,   (vi) the at least one temperature sensor, and   (vii) the at least one galvanic skin response sensor.   
     
     
         19 . The system of  claim 12 , wherein the particular program code is further configured to output, to the user, at least one stress-reducing suggestion when the stress level of the user is above a pre-determined stress threshold. 
     
     
         20 . The system of  claim 12 , further comprising:
 enabling, by the processor, the user to set at least one Trigger Event (TE) based on at least one deviation from at least one pre-set biological parameter, at least one pre-set mental parameter, or both;   causing, by the processor, a performance of at least one Suggested Action or Automatic Action (SAC).   
     
     
         21 . The system of  claim 20 , wherein the at least one deviation is determined based at least in part on the sensor data. 
     
     
         22 . The system of  claim 20 , wherein the at least one SAC is chosen from:
 1) activating the plurality of external electrodes to deliver the treatment;   2) recommending at least one breathing exercise,   3) recommending a music piece,   4) recommending at least one dietary supplement, and   5) generating an assistance invoking alert to at least one third party associated with the user.