A wireless controlled intelligent healthcare system for diplegia patients

Muhammad Tanveer Riaz; Abeer Abdulaziz AlSanad; Saeed Ahmad; Muhammad Azeem Akbar; Lulwah AlSuwaidan; Halah Abdulaziz AL-ALShaikh; Hatoon S AlSagri; Muhammad Tanveer Riaz; Abeer Abdulaziz AlSanad; Saeed Ahmad; Muhammad Azeem Akbar; Lulwah AlSuwaidan; Halah Abdulaziz AL-ALShaikh; Hatoon S AlSagri

doi:10.3934/mbe.2022022

Mathematical Biosciences and Engineering

2022, Volume 19, Issue 1: 456-472. doi: 10.3934/mbe.2022022

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A wireless controlled intelligent healthcare system for diplegia patients

1.
Department of Mechanical, Mechatronics and Manufacturing Engineering, University of Engineering & Technology (UET) Lahore, Faisalabad Campus, Faisalabad 38000, Pakistan
2.
Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University, Riyadh 11432, Saudi Arabia
3.
Department of Mechanical Engineering, University of Sargodha, Sargodha 40100, Pakistan
4.
Lappeenranta-Lahti University of Technology, Department of Information Technology, Lappeenranta 53851, Finland
5.
College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University, Riyadh 11432, Saudi Arabia
academic editor: Sandeep Pirbhulal

Received: 04 October 2021 Accepted: 06 November 2021 Published: 16 November 2021

Rehabilitation engineering is playing a more vital role in the field of healthcare for humanity. It is providing many assistive devices to diplegia patients (The patients whose conditions are weak in terms of muscle mobility on both sides of the body and their paralyzing effects are high either in the arms or in the legs). Therefore, in order to rehabilitate such types of patients, an intelligent healthcare system is proposed in this research. The electric sticks and chairs are also a type of this system which was used previously to facilitate the diplegia patients. It is worth noting that a voice recognition system along with wireless control feature has been integrated intelligently in the proposed healthcare system in order to replace the common and conventional assistive tools for diplegia patients. These features will make the proposed system more user friendly, convenient and comfortable. The voice recognition system has been used for movements of system in any desired direction along with the ultrasonic sensor and light detecting technology. These sensors detect the obstacles and low light environment intelligently during the movement of the wheelchair and then take the necessary actions accordingly.
- intelligent wheelchair,
- diplegia patients,
- wireless controlled wheelchair,
- intelligent healthcare,
- RF transmitter and receiver,
- ultrasonic sensor
Citation: Muhammad Tanveer Riaz, Abeer Abdulaziz AlSanad, Saeed Ahmad, Muhammad Azeem Akbar, Lulwah AlSuwaidan, Halah Abdulaziz AL-ALShaikh, Hatoon S AlSagri. A wireless controlled intelligent healthcare system for diplegia patients[J]. Mathematical Biosciences and Engineering, 2022, 19(1): 456-472. doi: 10.3934/mbe.2022022

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Abstract

Rehabilitation engineering is playing a more vital role in the field of healthcare for humanity. It is providing many assistive devices to diplegia patients (The patients whose conditions are weak in terms of muscle mobility on both sides of the body and their paralyzing effects are high either in the arms or in the legs). Therefore, in order to rehabilitate such types of patients, an intelligent healthcare system is proposed in this research. The electric sticks and chairs are also a type of this system which was used previously to facilitate the diplegia patients. It is worth noting that a voice recognition system along with wireless control feature has been integrated intelligently in the proposed healthcare system in order to replace the common and conventional assistive tools for diplegia patients. These features will make the proposed system more user friendly, convenient and comfortable. The voice recognition system has been used for movements of system in any desired direction along with the ultrasonic sensor and light detecting technology. These sensors detect the obstacles and low light environment intelligently during the movement of the wheelchair and then take the necessary actions accordingly.

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