• DocumentCode
    2053198
  • Title

    iPainRelief -A pain assessment and management app for a smart phone implementing sensors and soft computing tools

  • Author

    Rajesh, M. ; Muthu, J.S. ; Suseela, G.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., SRM Univ., Vadapalani, India
  • fYear
    2013
  • fDate
    21-22 Feb. 2013
  • Firstpage
    434
  • Lastpage
    441
  • Abstract
    Pain is a composite, biased, sensitive phenomenon with multi-dimensions that is uniquely experienced by every individual. Enormous methods of pain management utilize paper-based pain inventory systems that provide a momentary snapshot of the condition. The scope of our initiative is to concentrate on non-verbal technique of pain estimation and management. The paper projects a pervasive approach to enumerate the intensity of epidermis pain and also provides optimum solution. A neural network is trained with parameters like HR (Heart Rate), SC (Skin Conductance), ST (Skin Temperature) and RR (Respiratory Rate) accumulated from multimodal wireless sensors, embedded together to assess the magnitude of pain. Constraints are fixed with various threshold levels analyzing different patterns observed depending on the subject to be measured. Based on the proportion of intensity arrived the paper depicts a diversified smart phone application that suggests solutions pertaining to the ailment.
  • Keywords
    medical computing; mobile computing; neural nets; sensors; skin; smart phones; wireless sensor networks; diversified smart phone application; heart rate; iPainRelief; momentary snapshot; multidimension biased phenomenon; multidimension composite phenomenon; multidimension sensitive phenomenon; multimodal wireless sensors; neural network; nonverbal pain estimation technique; nonverbal pain management technique; pain assessment app; pain management app; pervasive approach; respiratory rate; sensors; skin conductance; skin temperature; soft computing tools; Expert systems; Heart rate; Medical diagnostic imaging; Pain; Sensors; Skin; Android Applications; Fuzzy expert systems; Neural Networks; Pain Measurement; Wireless sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Communication and Embedded Systems (ICICES), 2013 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4673-5786-9
  • Type

    conf

  • DOI
    10.1109/ICICES.2013.6508301
  • Filename
    6508301