Robotic management system for limb rehabilitation

Abstract

A robotic management system to control an apparatus that comprises of a mobile-frame, dynamic weight unloading mechanism and lower extremity exoskeleton device is disclosed. The fall safe apparatus receives the input from the doctors, users and therapist and the robotic management system automatically calculates the exercise routine using the robotic management system. An intelligent algorithm, embedded onto a dedicated processor, actuates various motors to execute the prescribed exercises, while the sensors provide dynamic feedback for corrective measures to control the exercise routine.

What is claimed is: 
     
         1 . A robotic management system processed using a processor, comprising:
 a robotic limb rehabilitation apparatus having a mobile-frame and a lower extremity exoskeleton device with multiple sensors for communicating an exercise parameter and its affect to a doctor, a therapist and a patient in real time;   a mobile device and a database connected by an internet, controlled by a robotic management module, session scheduling and reporting module and an artificial intelligence module for a limb rehabilitation for the user.   
     
     
         2 . The system of  claim 1 , wherein the robotic management module comprises of:
 a management module combines the mechanism of both dynamic weight unloading system, mobile-frame and lower extremity exoskeleton device in conjunction with common power, controls and optimized actuators and motors using the machine sensor inputs to optimize the use of the robotic limb rehabilitation apparatus;   a data module collects a data various on-board sensors and maps it onto the patient activity, detailed of the activity, analyze the data in real time for alerts, store the data in the database and convert the data into reports which are made available to the patient, doctors, therapists and an insurance personnel;   a doctors module enables the doctor to set up a rehabilitation plan for the patient using the rehabilitation measure and loading the exercise plan onto the patient module and therapist module;   a patient module contains patient profile and allows the patient to pick the time, therapist and doctors for their treatment;   an exercise module is used for storing a programmed exercise list, artificial intelligence based recommended exercise list and doctor recommended exercise list;   a therapist module is used by the therapist to define how many sessions and what exercises the therapist would want to do in each session by the patient recommended by the doctor specific to the patient;   cloud support module used for the artificial intelligence learning and allows the robotic limb rehabilitation apparatus to be personalized and customized for each patient for each rehabilitation session;   assessment module continuously not only records the exercise routine but also helps therapist plan and modify the machine sensor inputs after the data is collected; and   a device module to operate the robotic limb rehabilitation apparatus to manage a gait correction after a debilitating illness.   
     
     
         3 . The system of  claim 2 , further comprising;
 an artificial intelligence module analyzes the entire background of the patient, the bio-feedback on a specific day and also the overall recommendation based on machine learning algorithm, designs a restorative workout session based on the sensor feedback from the users previous exercise routines.