2nd International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

Fuzzy Pain Demand Index from an i-Pain System for Assessment of Postoperative Pain via Patient- Controlled Analgesia Using a Multilayer Hierarchical Structure

Download465 downloads
  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2008.2508,
        author={Jiann-Shing Shieh and Yeong-Ray Wen and Chun-Yi Dai and Wei-Zen Sun},
        title={Fuzzy Pain Demand Index from an i-Pain System for Assessment of Postoperative Pain via Patient- Controlled Analgesia Using a Multilayer Hierarchical Structure},
        proceedings={2nd International ICST Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2008},
        month={7},
        keywords={A multilayer hierarchical structure; fuzzy pain demand; patient-controlled analgesia; fuzzy modelling},
        doi={10.4108/ICST.PERVASIVEHEALTH2008.2508}
    }
    
  • Jiann-Shing Shieh
    Yeong-Ray Wen
    Chun-Yi Dai
    Wei-Zen Sun
    Year: 2008
    Fuzzy Pain Demand Index from an i-Pain System for Assessment of Postoperative Pain via Patient- Controlled Analgesia Using a Multilayer Hierarchical Structure
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/ICST.PERVASIVEHEALTH2008.2508
Jiann-Shing Shieh1,*, Yeong-Ray Wen2,*, Chun-Yi Dai3,*, Wei-Zen Sun4,*
  • 1: Department of Mechanical Engineering, Yuan Ze University, Chung-Li, Taiwan.
  • 2: Department of Anesthesiology, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.
  • 3: Department of Mechanical Engineering, National Central University, Chung-Li, Taiwan.
  • 4: Department of Anesthesiology, College of Medicine, National Taiwan University, Taipei, Taiwan.
*Contact email: jsshieh@saturn.yzu.edu.tw, yr.wen@yahoo.com.tw, chunyi.dai@gmail.com, wzsun@ntu.edu.tw

Abstract

An advanced multilayer hierarchical structure included a personal digital assistant (PDA) device for an i-pain system is described in this paper. This PDA is like a messenger that not only records visual analog scales (VASs) and side effects but also collects the patient-controlled analgesia (PCA) data via the RS232 port by wire (i.e., cable) or wireless (i.e., Bluetooth) at time of medical staff visits. In our previous study, a novel fuzzy pain demand (FPD) derived from the interval of each bolus of PCA according to a fuzzy modeling algorithm can show the patients’ dynamic demand and past efforts to overcome the postoperative pain. Hence, this study investigated whether FPD index can distinguish the analgesic efficacy using different amounts and combination drugs via six hundred and seventynine patients with upper and lower abdominal, spinal, and extremity procedures.