Human Interactive Robot with Medical Instrumentation

Abstract

Patients are more probabilistically successful to survive any disease, if the hospital have high nurse-to-patient ratio. Moreover, the nurse staff is also prone to infections, diseases, toxic substances and radiation. We have built a medical robot that is able to perform repetitive tasks of a nurse. The robot can navigate around the hospital, interact with patients and measure the vitals of the patients. The robot measures the temperature, heart rate and oxygen saturation. In addition to that, the robot also records the name, age, and previous history of the patient during the robot-patient interaction. An Electronic Health Records (EHR) is generated that is shared with the hospital. The robot asks the patient a set of predetermined questions, whose answers are recorded, processed to extract data to fill EMR and then refer the patient to the doctor for their detailed examination. Kinect sensor is used to map and navigate through the unknown environment and record the speech of the patient. We are using SLAM algorithm to map the unknown static environment and natural language processing techniques for data extraction from speech of the patient. Our robot has minimized the pre-processing time of patients before their checkup, reduced the probability of the nurse contracting any infection and has simultaneously increased the nurse-to-patient ratio.