| CPC A61B 5/02055 (2013.01) [A61B 5/0006 (2013.01); A61B 5/0022 (2013.01); A61B 5/021 (2013.01); A61B 5/02416 (2013.01); A61B 5/0255 (2013.01); A61B 5/0816 (2013.01); A61B 5/1118 (2013.01); A61B 5/14532 (2013.01); A61B 5/14551 (2013.01); A61B 5/257 (2021.01); A61B 5/282 (2021.01); A61B 5/318 (2021.01); A61B 5/327 (2021.01); A61B 5/333 (2021.01); A61B 5/4833 (2013.01); A61B 7/00 (2013.01); G16H 10/60 (2018.01); G16H 40/67 (2018.01); A61B 2562/0219 (2013.01)] | 13 Claims | 

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               1. A multi modal body sensor monitoring and recording system comprising: 
            a personal status monitor (PSM) that communicates a biosensors' data to a system control program (SCP) server, wherein the PSM comprises: 
                a controller comprising a sensing face, an intermediary circuit, and a mounting face, wherein the controller provides a sensor array of specified biosensors to obtain biosensor data, and wherein the controller is mountable with an electrocardiogram (ECG) patch; 
                the ECG patch coupled with the controller, wherein the controller is removably mounted via a sensor patch comprising a flat piece of material with a plurality of ECG electrodes arranged on the sensing face of the sensor patch, which is designed with a receptacle to which the controller device is connected to the ECG patch, wherein the ECG patch obtains ECG data of a user that is passed to the controller; 
                wherein the controller electronically communicates the ECG data and the biosensor data to a protected health information (PHI) server and the SCP server; 
                the PHI server that queries one or more health provider record systems to obtain a set of electronic health records of the user, wherein the PHI server electronically communicates the set of electronic health records to the SCP server; and 
                the SCP server that comprises a profile engine and an assessment engine: 
                wherein the profile engine comprises a machine learning suite configured to dynamically generate a virtual model of a user's quantifiable biological markers in real time, wherein the virtual model is constructed using the biosensor data collected by the PSM, along with at least one PHI record from the set of electronic health records; 
                the assessment engine that classifies the biosensor data, wherein the assessment engine comprises a biometrics assessment suite configured to perform reconstruction of a clinical 5-lead, 6-lead, or 12-lead ECG from a 3-lead ECG of the ECG data captured by the PSM system, wherein the assessment engine analyzes the biosensor data and the ECG data, including the reconstructed leads of the ECG and the virtual model of a user's quantifiable biological markers in real time, to determine a clinically significant event; and 
                wherein the controller synchronizes all time delays between the biosensor data and the ECG data, and wherein all the sensors of the sensor array are synchronized to the same clock coupled with a microprocessor such that data acquisition time is synchronized; and 
                wherein video communication with a patient and a care provider is implemented along with a real-time continuous streaming of the patient's vitals to PHI server. 
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