Journals / International Journal of Intelligent Systems and Applications in Engineering / 2018 / Cilt: 6 - Sayı: 3

Development of a Prototype Using the Internet of Things for Kinetic Gait Analysis

Pages
242–247
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The prototype is tested on people at 105 kg and below.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The proliferation of mobile devices and the gradual development of technology have led to the emergence of the concept of Internet of Things.
📊
Key Findings & Data:The IoT has led to an increase in the work done especially on the medical field.
💡
Conclusion & Impact:The prototype is tested on people at 105 kg and below.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

The proliferation of mobile devices and the gradual development of technology have led to the emergence of the concept of Internet of Things. The IoT has led to an increase in the work done especially on the medical field. The beginning of the reasons for using the IoT in medical studies is to be able to detect and display instantaneous changes that physicians cannot even observe. The aim of this study is to contribute to the recovery of The Gait Analysis from the constraints such as cost, expert necessity and difficulty of measuring the natural walking, and to make Gait Analysis widespread by realizing the more cost-effective. Another contribution of the study is to determine the high pressure points in the foot base and to prevent the loss of tissue in the feet by being produced the appropriate base for the patient. In the study, a prototype placed inside the shoe with the internet of things is developed to monitor the pressure distribution of the foot base. The prototype consists of a thin, flexible insole that collects analog data from the 32 sensors and transmits it wirelessly to mobile or PC via Bluetooth technology. The developed software of the prototype shows the pressure in every sensor on the floor and draws the walking chart. The accuracy and reliability of the prototype are assessed by pre-experimental measurements. The prototype is tested on 14 male and 4 female participants. The prototype is tested on people at 105 kg and below.

🔖

Cite This Article

ÇALIŞKAN, M., TÜMER, A. E., SENGUL, S. B. (2018). Development of a Prototype Using the Internet of Things for Kinetic Gait Analysis. International Journal of Intelligent Systems and Applications in Engineering, Cilt: 6 - Sayı: 3, 242–247. https://ajindex.com/articles/173279

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (7)

  1. N. Kutup, “Nesnelerin Interneti; 4H Her yerden, Herkesle, Her zaman, Her nesne ile bağlantı.” 16. Türkiye’de İnternet Konferansı inet-tr’11, İzmir-Türkiye, pp. 1-5, 2011. J. López-de-Armentia, D. Casado-Mansilla and D. López-de-Ipina, “Fighting against vampire appliances through eco-aware things. In Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)” 2012 Sixth International Conference on(pp. 868-873). IEEE, 2012. L. Görkem and M. Bozuklu, “Nesnelerin İnterneti: Yapılan Çalışmalar ve Ülkemizdeki Mevcut Durum” Gaziosmanpaşa University, institute of science, Gaziosmanpaşa Bilimsel Araştırma Dergisi, Tokat, vol. 13, pp. 47-68, 2016.
  2. F. Aktaş, C. Çeken and Y. E. Erdemli, “Nesnelerin İnterneti Teknolojisinin Biyomedikal Alanındaki Uygulamaları.”Düzce Üniversitesi Bilim ve Teknoloji Dergisi, vol. 4(1), pp. 37-54, 2016.
  3. D. Malan, T. Fulford-Jones and S. Moulton, “Codeblue: An ad hoc sensor network infrastructure for emergency medical care.” In International workshop on wearable and implantable body sensor networks Vol. 5, pp. 12-14, April 2004.
  4. D. S. Lee, S. Bhardwaj, E. Alasaarela and W. Y. Chung, “An ecg analysis on sensor node for reducing traffic overload in u- healthcare with wireless sensor network.” InSensors, 2007 IEEE pp. 256-259.
  5. A. J. Jara, F. J. Belchi, A. F. Alcolea, J. Santa, M. A. Zaaro- Izquierdo and A. F. Gómez-Skarmeta, “A Pharmaceutical Intelligent Information System to detect allergies and Adverse Drugs Reactions based on internet of things.” In Pervasive Computing and Communications Workshops (PERCOM Workshops), 2010 8th IEEE International Conference, Mannheim, Germany, pp. 809-812, IEEE, 2010.
  6. Z. Zhang and X. Hu, December, “ZigBee based wireless sensor networks and their use in medical and health care domain.” In Sensing Technology (ICST), 2013 Seventh International Conference on, pp. 756-761, IEEE,2013.
  7. G. Yang, L. Xie, M. Mäntysalo, X. Zhou, Z. Pang, L. Da Xu and L. R. Zheng, “A health-IoT platform based on the integration of intelligent packaging, unobtrusive bio-sensor and intelligent medicine box.” IEEE transactions on industrial informatics, 10(4), pp. 2180-2191, 2014. C. Bozer, “Genç erişkinlerde günlük aktivite sırasında yapılan bazı hareketlerin kinetic analizi”, Ph.D THESIS, Trakya University Health Sciences Institute, Edirne, pp. 10-15, 2007. B. Gülçimen and S. Ülkü, “İnsan Ayağı Biyomekaniğinin İncelenmesi.”Uludağ University Journal of The Faculty of Engineering, Bursa, pp. 13(2), 2008. G. Yavuzer, “Yürüme Ana