IoT Based Virtual Doctor Robot
Keywords:
Internet of Things , Telemedicine , robotics, Remote Health care, virtual DoctorAbstract
An IoT-based virtual medical professional machine combines the strength of the ‘Internet of Things (IoT)’ with robotics to revolutionize healthcare. This innovative technology aims to provide timely and personalized medical assistance to individuals in need, regardless of their location. At its core, the virtual doctor robot consists of several interconnected components, each serving a specific purpose to ensure efficient and accurate healthcare delivery. The hardware aspect of the robot includes sensors, actuators, and a robotic platform fitted with mobility capacity. The sensors used in this are responsible for collecting vital signs and other pertinent health information from the patient, such as oxygen level, temperature, blood pressure, and heart rate. Additionally, the robot may feature cameras and microphones to facilitate visual and auditory communication between the patient and healthcare providers. On the software side, sophisticated algorithms process the information gathered by the sensors to assess the condition of the individual health status accurately. Machine learning and artificial intelligence techniques enable the robot to analyze the data, identify patterns, and make informed decisions regarding the patient's condition. This functionality allows the virtual doctor robot to provide real-time medical advice, diagnose illnesses, and recommend appropriate treatment options. The IoT aspect of the virtual doctor robot enables seamless connectivity and communication between the robot, the patient, and healthcare professionals. Through wireless internet connections, the robot can transmit data securely to remote servers or cloud-based platforms where it can be accessed by authorized healthcare providers. This connectivity also enables telemedicine consultations, allowing patients to interact with doctors and specialists remotely. Moreover, the virtual doctor robot can be integrated with electronic health records (EHR) systems to ensure continuity of care and facilitate information exchange between different healthcare facilities. This integration streamlines the healthcare process, reduces administrative burden, and enhances the overall patient experience.
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References
M. Grieves, ‘‘Digital twin: Manufacturing excellence through virtual factory replication,’’ White Paper, vol. 1, pp. 1–7, Mar. 2014.
S. Khan, T. Arslan, and T. Ratna rajah, ‘‘Digital twin perspective of fourth industrial and healthcare revolution,’’ IEEE Access, vol. 10, pp. 25732– 25754, 2022, Doi: 10.1109/ACCESS.2022.3156062.
D. Jones, C. Snider, A. Nasseri, J. Yon, and B. Hicks, ‘‘Characterising the digital twin: A systematic literature review,’’ CIRP J. Manuf. Sci. Technol., vol. 29, pp. 36–52, May 2020, Doi: 10.1016/j.cirpj.2020.02.002.
4.F. Tao, M. Zhang, Y. Liu, and A. Y. C. Nee, ‘‘Digital twin driven prognostics and health
management for complex equipment,’’ CIRP Ann., vol. 67, no. 1, pp. 169–172, Jan. 2018, Doi: 10.1016/j.cirp.2018.04.055.
Q. Lu, X. Xie, A. K. Palakkad, and J. M.Schooling, ‘‘Digital twin-enabled anomaly detection for built asset monitoring in operation and maintenance,’’ Autom. Construct., vol. 118, Oct. 2020, Art. no. 103277,Doi: 10.1016/j.autcon.2020.103277.
R. van Dinter, B. Ticonderoga, and C. Catala, ‘‘Predictive maintenance using digital twins: A systematic literature review,’’ Inf. Soft. Technol., vol. 151, Nov. 2022, Art. no. 107008, Doi: 10.1016/j.infsof.2022.107008.
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