IoT Based Smart Wheelchair for HealthCare
Divya Jennifer DSouza1, Sanket Srivatsava2, Ruth Prithika3, Sahana4
1Divya Jennifer D Souza, Computer Science and Engineering, VTU/ NMAM Institute of Technology/ Nitte, Karkala, India.
2Sanket Srivatsava, Computer Science and Engineering, VTU/ NMAM Institute of Technology/ Nitte, Karkala, India.
3Ruth Preethika, Computer Science and Engineering, VTU/ NMAM Institute of Technology/ Nitte, Karkala, India.
4Sahana, Computer Science and Engineering, VTU/ NMAM Institute of Technology/ Nitte, Karkala, India.
Manuscript received on 08 March 2019 | Revised Manuscript received on 17 March 2019 | Manuscript published on 30 July 2019 | PP: 534-539 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1592078219/19©BEIESP | DOI: 10.35940/ijrte.B1592.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: People suffering from certain permanent disabilities due to accidents, paralysis or old age often depend on others for help with respect to movement. Providing an access to the remote health services using a health monitoring system enhances their independence, since their health is regularly recorded and monitored by the doctor without any efforts. By accessing the services online, they can directly communicate with their doctors only in case of an emergency. Since disabled patients cannot afford to travel, smart healthcare systems help them gain access to healthcare systems. A possible solution to monitor their health status is by developing a health monitoring system based on a smart wheelchair since it is adequate for a wider range of audiences and it does not require a lot of maintenance unlike the wearable systems. Smart wheelchairs not only focus on the mobility of the device but also on health monitoring of the patient. The objective of the present work is to develop a smart sensing wheelchair by implementing sensors within its structures. The technology adopted is Internet of Things wherein the heart rate and blood oxygen levels are detected by sensors, processed by embedded systems and sent to the cloud that initiates a trigger in case of any abnormality. The trigger produced can be in the form of an SMS or an e-mail.
Index Terms: Smart Wheelchair, Internet of Things, Microcontroller Unit, PPG Sensors, Cloud.
Scope of the Article: Healthcare Informatics