DOI : https://doi.org/10.18517/ijaseit.14.3.19514

IoT-based Flex Sensor Gloves for Immobility Patients: A Prototype

Azriyenni Azhari Zakri (1), R.A Rizka Qori Yuliani Putri (2), Syahru Romadoni (3), Yesi Hasneli (4)
(1) Department of Electrical Engineering, Faculty of Engineering, Universitas Riau, Pekanbaru, 28293, Riau, Indonesia
(2) Department of Electrical Engineering, Faculty of Engineering, Universitas Riau, Pekanbaru, 28293, Riau, Indonesia
(3) Department of Electrical Engineering, Faculty of Engineering, Universitas Riau, Pekanbaru, 28293, Riau, Indonesia
(4) Department of Medical-Surgical, Faculty of Nursing, Universitas Riau, Pekanbaru, Riau, Indonesia
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How to cite (IJASEIT) :
Azhari Zakri , Azriyenni, et al. “IoT-Based Flex Sensor Gloves for Immobility Patients: A Prototype”. International Journal on Advanced Science, Engineering and Information Technology, vol. 14, no. 3, June 2024, pp. 920-7, doi:10.18517/ijaseit.14.3.19514.
Citation Format :
Immobility patients often experience difficulties in daily interactions, especially communicating with nurses or carers. This study designed a glove prototype installed with a tension sensor as a communication tool to help patients. The designed prototype, a cutting-edge innovation, is paired with five flexible sensors to make it easier for nurses to read the five-finger movement signals. This prototype is not just a tool but a lifeline, equipped with temperature and pulse sensors that provide real-time monitoring of the patient’s physical condition, enhancing patient safety. Testing of the flex sensor glove prototype is carried out by processing flex-sensor input data temperature sensors, and Pulse Oximeter sensors so that they can be displayed on the Blynk application. Every movement conveys the patient's emotions and is implemented with Arduino UNO; a wireless serial interface is used for data transmission between transmitter and receiver. In an emergency, communications will be transmitted using a GSM module. The flex sensor indentation is processed by Arduino-Nano and sent to the Blynk application. Every movement conveys the patient's emotions and is implemented with Arduino UNO; a wireless serial interface is used for data transmission between transmitter and receiver. In an emergency, communications will be transmitted using a GSM module. The results of the flex sensor test show that the prototype will send notifications in the form of requests to the Blynk application.

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