Generic placeholder image

International Journal of Sensors, Wireless Communications and Control

Editor-in-Chief

ISSN (Print): 2210-3279
ISSN (Online): 2210-3287

Research Article

Innovative Folding Bed Cum Chair Based on IoT-Cloud Technology

Author(s): Surya Narayan Panda, Sumit Badotra*, Simranjeet Singh, Rajesh Kaushal and Naveen Kumar

Volume 12, Issue 1, 2022

Published on: 29 January, 2021

Page: [32 - 40] Pages: 9

DOI: 10.2174/2210327911666210129155119

Price: $65

Abstract

Aim: The method of utilization of IoT and other evolving techniques in medical equipment design field is discussed in the present paper. A remotely managed interface equipped in a wheelchair cum bed is embedded for elderly or physically challenged people. With the help of a camera embedded in the proposed solution, a real-time remote monitoring of the patient is achieved using an android application on the concerned person. For achieving the above mentioned purpose, the use of linear actuators has been done. This paper further aims to explore the hidden potentials of the merger of all these fields to benefit the end users.

Objectives: Remote monitoring of health of the patient through a cloud-based android application. Automatic adjustment of the wheelchair into bed and vice-versa. Automatic stool passing chamber facility is available under the proposed model. Injuries during transportation of the patient from one chair to another (or chair to bed) have been limited in our designed model.

Methods: The basic mechanism of proposed wheelchair has been designed using the computer-aided design software. The basic methodology adopted for development of prototype & subsequent “user review analysis” is displayed. The CAD Model of the wheelchair cum stretcher was designed using the “Solid works solid modelling techniques”. The basic structure has been designed with several modifications when compared to the conventional wheelchair design. The computer made design was then utilized for final fabrication of the prototype. The prototype was tested for endurance, load bearing capacity and customer comfort during various phases of development. The feedbacks of several subjects were recorded for future utilization in improved design & fabrication.

Results: The proposed model is of utmost importance as the number of critical patients like accident cases, critical pre and post-surgery cases is increasing day by day. Sometimes these patients need intime medication during transition in ambulance while they are picked up from houses and referred to nearby big hospitals. During transition or in hospital, critical patients can be handled efficiently by a specialist doctor through his/her smart phone applications. It also optimizes the services of specialist doctors as we can find the shortage of specialists in Indian hospitals. In a nutshell, this WheelChair system can be moved anywhere due to its portability. Following are the most highlighted features: 1. Authorized relatives and Doctors can see and interact with the patient remotely at any time on his/her smart phone. 2. Authorized relatives and Doctors can see the Vital Sign of patient like BP, ECG, and Pulse etc. at any time through Smart Phone. 3. Doctor can instruct the caretaker to release the emergency drugs through Infusion Pump. 4. Doctor can plan the exceptions, drug infusion, alarm, etc. 5. System is portable and can easily be shifted to ambulance. All transmissions are wireless, so there is no hassle of wires and connectivity.

Conclusion: The presented work is limited to the design and fabrication of a new model of wheelchair, which works as a stretcher and has locomotive capabilities. The key feature of the design is its versatility and adaptability to various working conditions. The feedback obtained from various subjects during the testing of wheelchair shows their confidence and a fair degree of comfort which they felt while using the wheelchair. The easy and user-friendly use of the android application helps to monitor the health of the patient. The smartphone camera helped to achieve this data. The analysis of the data can be done in the cloud-based station. The linear actuator has proved to be the low cost and highly reliable equipment to propel the wheelchair.

Keywords: IoT, healthcare, collapsible wheelchair, self-propelled wheelchair, linear actuator, remote monitoring.

Graphical Abstract

[1]
Gubbi J, Buyya R, Marusic S, Palaniswami M. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Gener Comput Syst 2013; 29(7): 1645-60.
[http://dx.doi.org/10.1016/j.future.2013.01.010]
[2]
Lee I, Lee K. The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Bus Horiz 2015; 58(4): 431-40.
[http://dx.doi.org/10.1016/j.bushor.2015.03.008]
[3]
Zaidan AA, Zaidan BB. A review on intelligent process for smart home applications based on IoT: Coherent taxonomy, motivation, open challenges, and recommendations. Artif Intell Rev 2020; 53(1): 141-65.
[http://dx.doi.org/10.1007/s10462-018-9648-9]
[4]
Badotra S, Panda SN. A Review on software-defined networking enabled IoT cloud computing. IIUM Engineering Journal 2019; 20(2): 105-26.
[http://dx.doi.org/10.31436/iiumej.v20i2.1130]
[5]
Farooq MU, Waseem M, Mazhar S, Khairi A, Kamal T. A review on Internet of Things (IoT). Int J Comput Appl 2015; 113(1): 1-7.
[6]
Mahmoud R, Yousuf T, Aloul F, Zualkernan I. Internet of things (IoT) security: Current status, challenges and prospective measures In 2015 10th International Conference for Internet Technology and Secured Transactions (ICITST)2015. 336-41.
[7]
Tyagi S, Agarwal A, Maheshwari P. A conceptual framework for IoT-based healthcare system using cloud computing2016 6th International Conference-Cloud System and Big Data Engineering (Confluence); 503-7.
[http://dx.doi.org/10.1109/CONFLUENCE.2016.7508172]
[8]
Darshan KR, Anandakumar KR. A comprehensive review on usage of Internet of Things (IoT) in healthcare system. In: 2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT). 2002 Jan 132-6; India: IEEE 2002..
[http://dx.doi.org/10.1109/ERECT.2015.7499001]
[9]
Kumar N, Panda S, Pradhan P, Kaushal R. IoT Based Hybrid System for Patient Monitoring and Medication EAI Endorsed Transactions on Pervasive Health and Technology 2019; 15(19).
[http://dx.doi.org/10.4108/eai.13-7-2018.162805]
[10]
Kumar N, Panda SN, Pradhan P, Kaushal R. IoT based E-critical care unit for patients in-transit. Indian J Public Health Res Develop 2019; 10(3): 46-50.
[http://dx.doi.org/10.5958/0976-5506.2019.00455.8]
[11]
Frank TG, Abel EW. Design and evaluation of footrests for hospital wheelchairs. J Biomed Eng 1990; 12(4): 333-9.
[http://dx.doi.org/10.1016/0141-5425(90)90009-C] [PMID: 2395360]
[12]
Harms M. Effect of wheelchair design on posture and comfort of users. Physiotherapy 1990; 76(5): 266-71.
[http://dx.doi.org/10.1016/S0031-9406(10)62219-5]
[13]
Tsai KH, Yeh CY, Lo HC. A novel design and clinical evaluation of a wheelchair for stroke patients. Int J Ind Ergon 2008; 38(3–4): 264-71.
[http://dx.doi.org/10.1016/j.ergon.2007.09.007]
[14]
Chen WY, Jang Y, Wang JD, et al. Wheelchair-related accidents: Relationship with wheelchair-using behavior in active community wheelchair users. Arch Phys Med Rehabil 2011; 92(6): 892-8.
[http://dx.doi.org/10.1016/j.apmr.2011.01.008] [PMID: 21621665]
[15]
Wieczorek B, Górecki J, Kukla M, Wojtokowiak D. The analytical method of determining the center of gravity of a person propelling a manual wheelchair. Procedia Eng 2017; 177: 405-10.
[http://dx.doi.org/10.1016/j.proeng.2017.02.237]
[16]
Rabhi Y, Mrabet M, Fnaiech F. A facial expression controlled wheelchair for people with disabilities. Comput Methods Programs Biomed 2018; 165: 89-105.
[http://dx.doi.org/10.1016/j.cmpb.2018.08.013] [PMID: 30337084]
[17]
Machangpa JW, Chingtham TS. Head gesture controlled wheelchair for quadriplegic patients. Procedia Computer Science 2018; 132: 342-51.
[http://dx.doi.org/10.1016/j.procs.2018.05.189]
[18]
Huang Q, Chen Y, Zhang Z, et al. An EOG-based wheelchair robotic arm system for assisting patients with severe spinal cord injuries. J Neural Eng 2019; 16(2)026021
[http://dx.doi.org/10.1088/1741-2552/aafc88] [PMID: 30620927]
[19]
Malhotra R, Wheelchair SR. Design and construction of a smart wheelchair. Procedia Comput Sci 2020; 172: 302-7.
[20]
Labbé D, Ben Mortenson W, Rushton PW, Demers L, Miller WC. Mobility and participation among ageing powered wheelchair users: Using a lifecourse approach. Ageing Soc 2020; 40(3): 626-42.
[http://dx.doi.org/10.1017/S0144686X18001228]
[21]
Singh H, Scovil CY, Yoshida K, et al. Factors that influence the risk of falling after spinal cord injury: A qualitative photo-elicitation study with individuals that use a wheelchair as their primary means of mobility. BMJ Open 2020; 10(2)e034279
[http://dx.doi.org/10.1136/bmjopen-2019-034279] [PMID: 32102820]
[22]
Long D. Wheelchair prescription Clinical Engineering. Elsevier Ltd 2020.
[http://dx.doi.org/10.1016/B978-0-08-102694-6.00025-5]
[23]
Salah K. A queueing model to achieve proper elasticity for cloud cluster jobs. 2013 IEEE Sixth International Conference on Cloud Computing 2013 July 755-61; Santa Clara, CA, USA: IEEE 2013.
[http://dx.doi.org/10.1109/CLOUD.2013.20]
[24]
Al Salami S, Baek J, Salah K, Damiani E. Lightweight encryption for smart home. In 2016 11th International Conference on Availability, Reliability and Security (ARES) 2002; 1:. 382-8.
[http://dx.doi.org/10.1109/ARES.2016.40]
[25]
Khan MA, Salah K. IoT security: Review, blockchain solutions, and open challenges. Future Gener Comput Syst 2018; 82: 395-411.
[http://dx.doi.org/10.1016/j.future.2017.11.022]
[26]
Almadhoun R, Kadadha M, Alhemeiri M, Alshehhi M, Salah K. A user authentication scheme of IoT devices using blockchain-enabled fog nodes. In 2018 IEEE/ACS 15th international conference on computer systems and applications (AICCSA); 2018 Nov 1-8; Aqaba, Jordan: IEEE 2018.
[http://dx.doi.org/10.1109/AICCSA.2018.8612856]
[27]
El Kafhali S, Salah K. Efficient and dynamic scaling of fog nodes for IoT devices. J Supercomput 2017; 73(12): 5261-84.
[http://dx.doi.org/10.1007/s11227-017-2083-x]
[28]
Al-Haidari F, Sqalli M, Salah K. Impact of cpu utilization thresholds and scaling size on autoscaling cloud resources 2013 IEEE 5th International Conference on Cloud Computing Technology and Science 2001; 2: 256-61.
[http://dx.doi.org/10.1109/CloudCom.2013.142]
[29]
Calyam P, Rajagopalan S, Seetharam S, Selvadhurai A, Salah K, Ramnath R. VDC-Analyst: Design and verification of virtual desktop cloud resource allocations. Comput Netw 2014; 68: 110-22.
[http://dx.doi.org/10.1016/j.comnet.2014.02.022]

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy