System and method for using integrated sensor arrays to measure and analyze multiple biosignatures in real time

Abstract

Systems and methods including a device having integrated sensor arrays constructed and configured to measure and analyze multiple biosignatures concurrently in real time and a mobile application to control the device, process data, and transmit data wirelessly via at least one network to at least one remote computing device for analyzing the multiple biosignatures and cross-correlation with at least one external factor resulting in the creation of personal and situation profiles for continued on-going real time monitoring, refinement, alerting, and action recommendations.

The invention claimed is: 
     
         1 . A system for using integrated sensor arrays to measure and analyze multiple biosignatures from a human or an animal comprising:
 an apparatus for sensing and analyzing at least two biosignatures, wherein the apparatus includes a biosensor array, an electronic core, and at least one antenna;   at least one remote transceiver device; and   at least one remote computer server;   wherein the biosensor array comprises at least two sensors;   wherein one or more of the at least two sensors includes at least one sympathetic nervous system (SNS) sensor and at least one non-sympathetic nervous system (non-SNS) sensor;   wherein the at least one SNS sensor is used to calibrate one or more of the at least one non-SNS sensor;   wherein the apparatus analyzes at least two biosignatures from the at least two sensors, calculates at least one output datum of the at least two biosignatures, and transmits the at least one output datum to the at least one remote transceiver device;   wherein the at least one remote transceiver device transmits the at least one output datum to the at least one remote computer server or at least one remote computing device or database for storage;   wherein the apparatus and the at least one remote transceiver device have real-time or near-real-time two-way communication;   wherein the at least one remote transceiver device and the at least one remote computer server have real-time or near-real-time communication; and   wherein the at least one remote computer server is operable to analyze apparatus data.   
     
     
         2 . The system of  claim 1 , wherein the apparatus is integrated into a wearable device, wherein the wearable device includes a sleeve or a wrist band. 
     
     
         3 . The system of  claim 1 , wherein the at least one remote computer server is operable to analyze the apparatus data using cross-modal analytics, wherein the cross-modal analytics include change detection, rates, vectors, cross queues, tips, condition settings, user settings, self-calibrations, personalization, trends, patterns, validations, and/or alerts, wherein the at least one remote computer server is configured to generate an automatic alert based on the cross-modal analytics, wherein the automatic alert is transmitted to an emergency response service. 
     
     
         4 . The system of  claim 1 , wherein the at least one remote computer server is operable to store apparatus data, wherein the at least one remote computer server is operable to create a personal profile for the human or the animal based on the stored apparatus data, wherein the at least one remote computer server is further operable to create an alert threshold based on the personal profile, wherein the at least one remote computer server is operable to adjust the personal profile and the alert threshold based on new apparatus data. 
     
     
         5 . The system of  claim 1 , wherein the at least one remote computer server is operable to create a personal profile for the human or the animal using cross-modal analytics, wherein the cross-modal analytics is configured to monitor changes in the at least two biosignatures, wherein the personal profile is based on change rates, change vectors, change trends, and/or change patterns determined using the cross-modal analytics. 
     
     
         6 . The system of  claim 1 , wherein the at least one SNS sensor includes at least one electromagnetic sensor, wherein the electromagnetic sensor is configured to detect the presence of at least one designated disease based on a magnetic charge. 
     
     
         7 . The system of  claim 1 , wherein the apparatus further includes at least one environmental sensor, wherein the at least one environmental sensor includes a temperature sensor, an air sensor, and/or a sound sensor. 
     
     
         8 . The system of  claim 1 , wherein the electronic core comprises a multiplexer, at least one analog-to-digital converter, and at least one processor. 
     
     
         9 . The system of  claim 1 , wherein the electronic core includes at least one light emitting diode (LED), wherein the LED is configured to provide at least one alert based on the analyzed apparatus data, wherein the at least one alert indicates the human or the animal is at risk of undergoing an adverse event. 
     
     
         10 . The system of  claim 1 , wherein the remote computer server is configured to generate and store a personal profile for a plurality of humans or a plurality of animals based on apparatus data, wherein the remote computer server is further configured to monitor and compare the personal profile for at least two of the plurality of humans or at least two of the plurality of animals. 
     
     
         11 . The system of  claim 1 , further including an artificial intelligence engine, wherein the at least one remote computer server is configured to analyze the apparatus data using cross-modal analytics, wherein the artificial intelligence engine is configured to determine at least one trend and/or at least one pattern based on the analyzed apparatus data. 
     
     
         12 . A system for using integrated sensor arrays to measure and analyze multiple biosignatures from a human or an animal comprising:
 an apparatus for sensing and analyzing at least two biosignatures, wherein the apparatus includes a biosensor array, an electronic core, and at least one antenna;   at least one remote transceiver device; and   at least one remote computer server;   wherein the biosensor array comprises at least two sensors;   wherein one or more of the at least two sensors includes at least one sympathetic nervous system (SNS) sensor and at least one non-sympathetic nervous system (non-SNS) sensor;   wherein the at least one SNS sensor is used to calibrate one or more of the at least one non-SNS sensor;   wherein the apparatus analyzes at least two biosignatures from the at least two sensors, calculates at least one output datum of the at least two biosignatures, and transmits the at least one output datum to the at least one remote transceiver device;   wherein the at least one remote transceiver device transmits the at least one output datum to the at least one remote computer server or at least one remote computing device or database for storage;   wherein the apparatus and the at least one remote transceiver device have real-time or near-real-time two-way communication;   wherein the at least one remote transceiver device and the at least one remote computer server have real-time or near-real-time communication;   wherein the at least one remote computer server is operable to analyze apparatus data;   wherein the at least one remote computer server is operable to detect at least one biosignature change and at least one rate of change of the at least one biosignature change;   wherein the at least one remote computer server is configured to receive at least one designated threshold for at least one biosignature of the at least two biosignatures; and   wherein the at least one remote computer server is operable to generate at least one alert when the at least one biosignature change and the at least one rate of change of the at least one biosignature is greater than the at least one designated threshold.   
     
     
         13 . The system of  claim 12 , wherein the at least one remote computer server is operable to analyze the apparatus data using cross-modal analytics, wherein the cross-modal analytics include change detection, rates, vectors, cross queues, tips, condition settings, user settings, self-calibrations, personalization, trends, patterns, validations, and/or alerts. 
     
     
         14 . The system of  claim 12 , wherein the at least one remote computer server includes at least one external factor, wherein the at least one external factor is at least one clinical observation, eyewitness data, offline analytics, at least one laboratory test result, weather data, social media analytics, third party data, external research, and/or web data. 
     
     
         15 . The system of  claim 12 , wherein the real-time or near-real-time two-way communication further comprises commands, electrode calibration, software updates, new or updated algorithms, new or updated modifying variables for algorithms, processor health properties, error codes, and/or electrode maintenance or malfunction. 
     
     
         16 . A system using integrated sensor arrays to measure and analyze at least one biosignature from a human or an animal comprising:
 an apparatus including a biosensor array, at least two sensors, at least one analog-to-digital converter, a multiplexer, a processor, and at least one antenna;   at least one remote transceiver device; and   at least one remote computer server;   wherein the at least two sensors include at least one sympathetic nervous system (SNS) sensor and at least one non-sympathetic nervous system (non-SNS) sensor, wherein the sympathetic nervous system sensor is configured to calibrate the at least one non-SNS sensor;   wherein the at least one remote transceiver device and the apparatus are operable for two-way cross-communication in real time or near-real time;   wherein each of the at least two sensors are configured to capture at least one biosignature of the human or the animal;   wherein the processor is configured to convert the at least one biosignature of the human or the animal into at least one output datum using at least one algorithm;   wherein one or more of the at least one antenna is configured to transmit the at least one output datum to the at least one remote transceiver device via the two-way communication with the apparatus;   wherein the at least one remote transceiver device is configured to share and/or transmit the at least one output datum with at least one remote computer server or at least one remote computing device or database for storage; and   wherein the at least one remote computer server is configured to analyze apparatus data.   
     
     
         17 . The apparatus of  claim 16 , wherein two or more of the at least two sensors are of differing modalities, wherein the differing modalities include imaging, photon, spectroscopy, electrochemical, inertial, thermal, radiofrequency, electromagnetic, and/or ultrasound. 
     
     
         18 . The apparatus of  claim 16 , further including at least one external factor, wherein the at least one external factor includes clinical observations, eyewitness data, offline analytics, laboratory test results, weather, social media analytics, and web data, wherein the at least one remote computer server is operable to analyze the apparatus data using cross-modal analytics, wherein the cross-modal analytics is configured to compare the at least one external factor to the apparatus data. 
     
     
         19 . The apparatus of  claim 16 , wherein the at least one remote computer server is operable to analyze the apparatus data using cross-modal analytics, wherein the cross-modal analytics include change detection, rates, vectors, cross queues, tips, condition settings, user settings, self-calibrations, personalization, trends, patterns, validations, and/or alerts. 
     
     
         20 . The apparatus of  claim 16 , further including an artificial intelligence engine, wherein the at least one remote computer server is configured to analyze the apparatus data using cross-modal analytics, wherein the artificial intelligence is configured to determine at least one trend and/or at least one pattern based on the analyzed apparatus data.