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2016, Number 3

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Rev Hosp Jua Mex 2016; 83 (3)

Development of assistive robotic beds for hospitals

Vázquez-Santacruz E, Manrique MA, Acosta AG, Gamboa-Zúñiga M
Full text How to cite this article

Language: English
References: 6
Page: 66-74
PDF size: 219.56 Kb.


Key words:

Robotic beds, operational feasibility, social impact.

ABSTRACT

In this paper we introduce a methodology for the definition of projects in the area of robotic beds that respond to the real needs of public hospitals in Latin-American. The importance of this methodology relies on the fact that the projects are defined according to it respond to real needs in hospitals. This methodology considers seven steps: pre-diagnosis, diagnosis, technical feasibility assessment, economic feasibility assessment, operational feasibility assessment, feasibility matrix analysis and viability matrix analysis. The diagnostic method (DM) helps with the development of a robotic bed by analyzing its impact in a hospital environment and hence by having a direct impact in the innovations of new robots with new applications mainly for elderly and disabled patients. The DM can be applied in other fields. For these reasons this methodology is very convenient to institutions or private companies interested in developing assistive devices. The lack of a methodology like the one presented, usually leads to failure in the technical implementation, as well as in the commercial aspects since the beginning of the project may be a waste of resources rather than an investment.


REFERENCES

  1. Nihei M, Fujie MG. Proposal for a new development methodology for assistive technology based on a psychological model of elderly people. The University of Tokyo, Waseda University. Japan. 2012.

  2. Endo Y, MacKenzie DC, Arkin RC. Usability evaluation of high-level user assistance for robot mission specification. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 2004; 34: 168-80.

  3. Parsons B, White A, Warner P, Gill R. Validation methods for an accessible user interface for a rehabilitation robot. Universal Access in the Information Society 2006; 5: 306-24.

  4. Victores JG, Jardón A, Bonsignorio F, Stoelen MF, Balaguer C. Benchmarking usability of assitive robotic systems: methodology and application. Workshop on the role of experiments in robotic research at ICRA 2010. Anchorage, Alaska.

  5. Feil-Seifer D, Skinner K, Matariæ MJ. Benchmarks for evaluating socially assistive robotics. University of Southern California. Interaction Studies: Psychological Benchmarks of Human- Robot Interaction 2007; 8(3): 423-9.

  6. Kap-Ho Seo, Changmok Oh, Ju-Jang Lee. Intelligent Bed Robot System: Pose Estimation Using Sensor Distribution Mattress. Proceedings of the 2004 IEEE. International Conference on robotics and Biomimetics. August 22-26, 2004, Shenyang, China.




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Rev Hosp Jua Mex. 2016;83