1. An apparatus configured to promote brain reconfiguration and at least one of speech enhancement, brain research, and brain damage diagnosis, the apparatus comprising: a data collection module configured to digitally collect action request response data from a human subject, the data comprising physiological data, and at least one of action data, and of sound data comprising at least one of speech data, music data, rhythm data, and other sound data; a physiological sensing device configured to sense physiological data indicating the subject's stress or satisfaction reaction to a request and to the subject's response and to sense the subject's brain function reaction to the request and to the subject's response; a data sample time slice software object comprising at least one of physiological data, sound data, rhythm data, music data, and action data, collected at a defined interval of less than about one minute and further comprising an object pointer uniquely corresponding to each class of data, and wherein all classes of incoming data are time synchronized so that incoming data is stored in the software object corresponding to the sampling time of the data and wherein the data density determines the stored sample density of each class of data with a NULL value inserted where a sample is absent for a class of data, wherein a property of the data sample time slice software object improves at least one of a speed, memory space, retrieval efficiency, and analysis capability of a relevant hardware and/or software of the apparatus; a real-time deconstruction hardware module configured to deconstruct the data into subcomponents expressed as a non-transitory digital signal in real time; an analysis module comprising an intelligent reasoning module configured to in real time digitally process and compare the request response digital signal subcomponents of the at least one of the action data and sound data with the matching subcomponents of the response request digital signal, correlate the subcomponents of the physiological response digital signal with at least one of the subcomponents of the subject's response digital signal to the action request and a baseline state, digitally associate the physiological subcomponents and other data subcomponents; and recommend a new action request configured to move the subject response toward a more accurate imitation of the action request and toward enhanced speech related brain function according to one or more learned rules, the one or more learned rules being derived as a function of one or more existing rules, new or existing data, and predefined conditions.