A Novel Wound Assessment System Using Fuzzy Logic

A Novel Wound Assessment System Using Fuzzy Logic

© 2022 by IJETT Journal
Volume-70 Issue-3
Year of Publication : 2022
Authors : Sudheer Kumar Nagothu, Kurra Upendra Chowdary, Ponduri Siva Prasad, B. Siranthini

How to Cite?

Sudheer Kumar Nagothu, Kurra Upendra Chowdary, Ponduri Siva Prasad, B. Siranthini, "A Novel Wound Assessment System Using Fuzzy Logic," International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 118-125, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I3P213

Wounds are simply injuries that cause the skin and body tissues to break down. Cuts, punctures, scratches, and scrapes are all examples of wounds. Numerous parameters can be used when evaluating a wound, such as wounds depth and size, the colour of the wound, its odour, the amount of tissue present, etc. Each of these parameters can be used on its own or in combination with others. The appearance of the wound is an essential factor in determining the healing time. For this paper, fuzzy logic is used to calculate the values of variables, which does not require precise input and instead estimates the values of variables and incorporates a number of different input parameters.

Fuzzy logic, Membership functions, Wound Assessment, MATLAB.

[1] M. S. Brown, B. Ashley, and A. Koh, Wearable technology for chronic wound monitoring: current dressings, advancements, and prospects, Frontiers in Bioengineering and Biotechnology, 6(47) (2018).
[2] B. Farahani, F. Firouzi, V. Chang, M. Badaroglu, N. Constant, and K. Mankodiya, Towards fog-driven IoT eHealth: promises and challenges of IoT in medicine and healthcare, Future Generation Computer Systems, 78(2018) 659–676.
[3] C. R. Kruse, K. Nuutila, C. C. Y. Lee et al., 0e external microenvironment of healing skin wounds, Wound Repair and Regeneration, 23(4) (2015) 456–464.
[4] Chowdary, K.U., Prabhakara Rao, B. PAPR reduction and spectrum sensing in MIMO systems with the optimized model. Evol. Intel. (2020). https://doi.org/10.1007/s12065-020-00376-x
[5] Kurra. Upendra Chowdary, B. Prabhakara Rao, Performance Improvement in MIMO-OFDM Systems based on adaptive Whale Elephant Herd Optimization algorithms, International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249-8958, 9(1) (2019).
[6] Madhusudhan M, H. Pradeepa Fuzzy Based Controller to Enhance Transient and Steady-State Stability for Multimachine Power System International Journal of Engineering Trends and Technology 70(2) (2022) 103-114.
[7] X. J. Meena and S. Indumathi, A secure IOT based SKIN cancer detection scheme using support vector machine and particle swarm optimization algorithm, International Journal of Engineering Research and Science & Technology, 6(2)(2017) 30–40.
[8] Chowdary, Kurra Upendra and Rao, B. Prabhakara}, Hybrid Mixture Model Based on a Hybrid Optimization for Spectrum Sensing to Improve the Performance of MIMO OFDM Systems, International Journal of Pattern Recognition and ArtificialIntelligence,34(07) 2058008 (2020), doi 10.1142/S0218001420580082
[9] S. Roy Chowdhury, Y. Umasankar, J. Jaller et al., Continuous monitoring of wound healing using a wearable enzymatic uric acid biosensor, Journal of the Electrochemical Society, 165(8) (2018) 3168–3175.
[10] S. Guo and L. A. DiPietro, Factors affecting wound healing, Journal of Dental Research,89(3) (2010) 219–229.
[11] H. M. Kimmel, A. Grant, and J. Ditata, 0e presence of oxygen in wound healing, Wounds: A Compendium of Clinical Research and Practice, 28(8) (2016) 264–270.
[12] [C. K. Sen, Wound healing essentials: let there be oxygen, Wound Repair and Regeneration,17(1)(2009) 1–18.
[13] F. Gottrup, Oxygen in wound healing and infection, World Journal of Surgery,28(3) (2004) 312–315.
[14] G. M. Gordillo and C. K. Sen, Revisiting the essential role o oxygen in wound healing,(e American Journal of Surgery,186(3) (2003) 259–263.
[15] Mayura Yeole, Rakesh Kumar Jain, Radhika Menon Prediction of Road Accident Using Artificial Neural Network International Journal of Engineering Trends and Technology 70(2) (2022) 143-150.
[16] J. Jantzen, Tutorial on Fuzzy Logic, Technical Report, Technical University of Denmark, Dept. of Automation, Kongens Lyngby, Denmark, (1998).
[17] K. R. S. R. Raju and G. H. K. Varma, Knowledge-Based Real-Time Monitoring System for Aquaculture Using IoT,2017 IEEE 7th International Advance Computing Conference (IACC), Hyderabad, (2017) 318-321, doi: 10.1109/IACC.2017.0075.
[18] Swati Atri, Sanjay Tyagi Fuzzy Based Priority Ad Hoc on Demand Multipath Distance Vector Stable Routing Protocol International Journal of Engineering Trends and Technology 70(2) (2022) 311-327.
[19] F{Samuel, A. Faculty perception of presence in the online environment. Adult Education Research Conference (s. 47). Manhattan, KS. Retrieved from (2015). http://newprairiepress.org/aerc/2015/papers/47/
[20] S. K. Nagothu, Intelligent Control of Aerator and Water Pump in Aqua-culture Using Fuzzy Logic, 978-981-16-5047-5, ICMDCS (2021) CCIS 1392, (499590_1_En, Chapter 13)
[21] S. K. Nagothu, ANFIS Based Smart Wound Monitoring System, (2021) 978-981-16-5047-5, ICMDCS 2021, CCIS 1392, (499590_1_En, Chapter 15) https://doi.org/10.1007/978-981-16-5048-2_15
[22] S. K. Nagothu, IoT based Sheep Guarding System in Indian Scenario, 3rd International (Virtual) Conference On Recent Trends In Advanced Computing.
[23] S. K. Nagothu, Smart Student Assessment System for Online Classes Participation, Advs in Intelligent Syst., Computing, 1354, Brijesh Iyer et al. (Eds): Applied Information Processing Systems, 978-981-16-2007-2, 510780_1_En, (Chapter 51) https://doi.org/10.1007/978-981-16-2008-9_51
[24] Nagothu S.K., Sri P.B., Koppolu R, Smart Student Participation Assessment Using Fuzzy Logic. In: Das K.N., Das D., Ray A.K., Suganthan P.N. (eds) Proceedings of the International Conference on Computational Intelligence and Sustainable Technologies. Algorithms for Intelligent Systems. Springer, Singapore. (2022) https://doi.org/10.1007/978-981-16-6893-7_59