Requirement Specification and Modeling a Wearable Smart Blanket System for Monitoring Patients in Ambulance

Background: Nowadays, the role of smart systems and developed tools such as wearable systems for monitoring the patients and controlling their conditions consistently has increased significantly. The present research sought to identify the factors which are essential for designing a wearable smart blanket system and modeling the proposed systems. Methods: To this aim, the requirements for creating the proposed system in ambulance were described after determining the features related to wearable systems by conducting on a comparative study. First, some studies were performed to identify the wearable system development. Then, the elicited questionnaire was given to the physicians and medical informatics specialists. Finally, the extracted requirements were implemented for modeling a smart blanket system. Results: Based on the results, the wearable smart blanket system includes some specific characteristics such as monitoring the important signs, communicating with the surroundings, processing the signals instantly, and storing all important signs. In addition, they should involve some nonfunctional characteristics such as easy installment and function, interactivity, error fault tolerance, low energy consumption, and the accuracy of sign stability. Then, based on the requirements and data elements extracted from the questionnaire, the system was modeled as a detailed design of the proposed technical blanket system. Based on the results, the architecture of the designed system could provide expected scenarios by using the Active Review for Intermediate Design-oriented scenario-based evaluation method. Conclusion: Today, smart systems and tools have considerably developed in terms of monitoring the patients and controlling their conditions. Therefore, wearable systems can be implemented for monitoring the health status of patients in ambulance.

[1]  James A. Fitzsimmons,et al.  A Methodology for Emergency Ambulance Deployment , 1973 .

[2]  L. Langenhove Smart textiles for medicine and healthcare : materials, systems and applications , 2007 .

[3]  Gari D. Clifford,et al.  Shortliffe Edward H, Cimino James J: "Biomedical Informatics; Computer Applications in Health Care and Biomedicine" , 2006 .

[4]  Brendan G Carr,et al.  Defining the emergency care sensitive condition: a health policy research agenda in emergency medicine. , 2010, Annals of emergency medicine.

[5]  Thomas Falck,et al.  BASUMA - the sixth sense for chronically ill patients , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).

[6]  Muhammad Ali Babar,et al.  Comparison of scenario-based software architecture evaluation methods , 2004, 11th Asia-Pacific Software Engineering Conference.

[7]  Hee-Cheol Kim,et al.  Exploring the user requirements for wearable healthcare systems , 2011, 2011 IEEE 13th International Conference on e-Health Networking, Applications and Services.

[8]  Kwang-Hee Han,et al.  An Investigation of Usability Evaluation for Smart Clothing , 2007, HCI.

[9]  H. Arai,et al.  Smart blanket: Flexible and easy to couple waveguide , 2011, 2011 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems.

[10]  Vahid Mottaghitalab,et al.  Novel printed body worn sensor for measuring the human movement orientation , 2016 .

[11]  Rita Paradiso,et al.  Wearable Textile Platform for Assessing Stroke Patient Treatment in Daily Life Conditions , 2016, Front. Bioeng. Biotechnol..

[12]  Paul Lukowicz,et al.  AMON: a wearable multiparameter medical monitoring and alert system , 2004, IEEE Transactions on Information Technology in Biomedicine.

[13]  Andris Freivalds,et al.  Perceived Usefulness and Ease of Use of Wearable Sensor-Based Systems in Emergency Departments , 2015 .

[14]  Richard F. Sesek,et al.  Barriers to the Adoption of Wearable Sensors in the Workplace: A Survey of Occupational Safety and Health Professionals , 2018, Hum. Factors.