Sensor Enabled Wearable Technological Tool to Detect Breast Abnormality

  • Authors

    • M Kavitha
    • P Venkata Krishna
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10886
  • Breast cancer, Mammography, MRI - Magnetic resonance imaging, Thermography, Sensor enabled wearable technological tool.

  • Abstract

    Our Historical records say that, Women are back bone to every family. Generally we observe that health risk rate in women increases depends on age. Statistical medical reports proven that, early identification of health risks will increase the survival rate of patient. From last sixty years, we heard that breast cancer is one of the big health dare for women after forty years of age. Early phase detection of breast tumor is a big research issue in both developed and developing countries. Due to the limits in existing breast abnormality detecting tools like mammography, thermography, ultrasound, MRI there is a need to introduce smart, cost effective, patient comfortable, non-ionic radiated compact testing tool to detect breast abnormality at early stage. In this work I am going to propose an advanced sensor enabled wearable technological tool design to detect breast abnormality. This tool is portable, patient comfortable, light weight, cost effective and suitable for dense breast, pregnant women and surgically altered breasts, younger women also.

     

  • References

    1. [1] Sfakianakis, Stelios, et al. "On the identification of circulating tumor cells in breast cancer." IEEE Journal of Biomedical and health informatics 18.3 (2014): 773-782.

      [2] Hela, Boulehmi, et al. "Breast cancer detection: A review on mammograms analysis techniques." Systems, Signals & Devices (SSD), 2013 10th International Multi-Conference on. IEEE, 2013.

      [3] Berg, Wendie A., et al. "Diagnostic accuracy of mammography, clinical examination, US, and MR imaging in preoperative assessment of breast cancer." Radiology 233.3 (2004): 830-849.

      [4] Gogoi, Usha Rani, et al. "Breast abnormality detection through statistical feature analysis using infrared thermograms." Advanced Computing and Communication (ISACC), 2015 International Symposium on. IEEE, 2015.

      [5] Qi, Hairong, and Nicholas A. Diakides. "Thermal infrared imaging in early breast cancer detection." Augmented Vision Perception in Infrared. Springer, London, 2009. 139-152.

      [6] Qi, Hairong, and Nicholas A. Diakides. "Thermal infrared imaging in early breast cancer detection-a survey of recent research." Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE. Vol. 2. IEEE, 2003.

      [7] Wakankar, Asmita, G. R. Suresh, and Akshata Ghugare. "Automatic Diagnosis of Breast Abnormality Using Digital IR Camera." Electronic Systems, Signal Processing and Computing Technologies (ICESC), 2014 International Conference on. IEEE, 2014.

      [8] Shahari, Sheetal, and Asmita Wakankar. "Color analysis of thermograms for breast cancer detection." Industrial Instrumentation and Control (ICIC), 2015 International Conference on. IEEE, 2015.

      [9] Yin, Hongxu, and Niraj K. Jha. "A Health Decision Support System for Disease Diagnosis Based on Wearable Medical Sensors and Machine Learning Ensembles." IEEE Transactions on Multi-Scale Computing Systems 3.4 (2017): 228-241.

      [10] Baig, Mirza Mansoor, and Hamid Gholamhosseini. "Smart health monitoring systems: an overview of design and modeling." Journal of medical systems 37.2 (2013): 9898.

      [11] Lee, Hyunjae, et al. "A graphene-based electrochemical device with thermoresponsive microneedles for diabetes monitoring and therapy." Nature nanotechnology 11.6 (2016): 566.

      [12] Majumder, Turbo, et al. "NoC-enabled multicore architectures for stochastic analysis of biomolecular reactions." Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015. IEEE, 2015.

      [13] Wannenburg, Johan, and Reza Malekian. "Body sensor network for mobile health monitoring, a diagnosis and anticipating system." IEEE Sensors Journal 15.12 (2015): 6839-6852.

      [14] Islam, Md Shafiul, Naima Kaabouch, and Wen Chen Hu. "A survey of medical imaging techniques used for breast cancer detection." Electro/Information Technology (EIT), 2013 IEEE International Conference on. IEEE, 2013.

      [15] Paramkusham, Spandana, Kunda MM Rao, and BVVSN Prabhakar Rao. "Early stage detection of breast cancer using novel image processing techniques, Matlab and Labview implementation." Advanced Computing Technologies (ICACT), 2013 15th International Conference on. IEEE, 2013.

      [16] Yin, Hongxu, and Niraj K. Jha. "A Health Decision Support System for Disease Diagnosis Based on Wearable Medical Sensors and Machine Learning Ensembles." IEEE Transactions on Multi-Scale Computing Systems 3.4 (2017): 228-241.

      [17] Potter, Helen, et al. "The sensitivity of thermography to temperature changes in breast tissue." Australian Journal of Physiotherapy 43.3 (1997): 205-210.

      [18] El Hallaoui, Karim, et al. "Signal analysis and phantom experiments for a miniaturized time-domain microwave breast health monitoring device." Antennas and Propagation (EUCAP), 2017 11th European Conference on. IEEE, 2017.

      [19] Kim, Sun Young. "Expression Trend and Characteristics of Pixel in Contemporary Fashion." Korean Journal of Human Ecology 24.3 (2015): 407-421.

      [20] Gabriel, S., R. W. Lau, and Camelia Gabriel. "The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz." Physics in medicine & biology 41.11 (1996): 2251.

      [21] Keith, Louis G., et al. "System for analyzing thermal data based on breast surface temperature to determine suspect conditions." U.S. Patent No. 8,231,542. 31 Jul. 2012.

      [22] Kishore, P.V.V., Kishore, S.R.C. And Prasad, M.V.D., 2013. Conglomeration Of Hand Shapes And Texture Information For Recognizing Gestures Of Indian Sign Language Using Feed Forward Neural Networks. International Journal Of Engineering And Technology, 5(5), Pp. 3742-3756.

      [23] Varun Teja, T. And Asadi, S.S., 2016. An Integrated Approach For Evaluation Of Environmental Impact Assessment - A Model Study. International Journal Of Civil Engineering And Technology, 7(6), Pp. 650-659.

      [24] Lakshmi, M.L.S.N.S., Khan, H. And Madhav, B.T.P., 2015. Novel Sequential Rotated 2×2 Array Notched Circular Patch Antenna. Journal Of Engineering Science And Technology Review, 8(4), Pp. 73-77.

      [25] Jawahar, A. And Koteswara Rao, S., 2015. Recursive Multistage Estimator For Bearings Only Passive Target Tracking In Esm Ew Systems. Indian Journal Of Science And Technology, 8(26),.

      [26] Sarma, G.S., Asadi, S.S. And Narayana, S.L., 2016. Creation Of Web Based Decision Support Information System For Evaluation Of Topographic Characteristics Using Remote Sensing & Gis And Visual Basic Programe. International Journal Of Civil Engineering And Technology, 7(6), Pp. 621-634.

      [27] Aditya Varma, K.V., Manideep, T. And Asadi, S.S., 2016. A Critical Comparison Of Quantity Estimation For Gated Community Construction Project Using Traditional Method Vs Plan Swift Software: A Case Study. International Journal Of Civil Engineering And Technology, 7(6), Pp. 707-713.

  • Downloads

  • How to Cite

    Kavitha, M., & Venkata Krishna, P. (2018). Sensor Enabled Wearable Technological Tool to Detect Breast Abnormality. International Journal of Engineering & Technology, 7(2.7), 589-593. https://doi.org/10.14419/ijet.v7i2.7.10886

    Received date: 2018-04-01

    Accepted date: 2018-04-01

    Published date: 2018-03-18