| 1. |
- Noh, Y., et al.
(author)
-
Development of an Airway Management Training System that Embeds an Array of Sensors on a Conventional Mannequin
- 2007
-
In: Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on. - 9781424409129 - 9781424409129 ; , s. 1296-1301
-
Conference paper (peer-reviewed)abstract
- Airway management is provided by emergency medical technicians or anesthetists in order to save unconscious patients who are unable to breathe. Even though it is a basic technique, many accidents may occur when the procedure is not provided followed. In order to avoid any risks to patients, emergency medical technicians are required to practice airway management using training devices such as mannequins; which are designed to accurately reproduce the human anatomy. However, such training devices do not provide any quantitative information about the learning progress of trainees (passive training). For that purpose, we have proposed the development of a airway management training system which is designed to embed array of sensors so that quantitative information of trainees' performance can be acquired. In this paper, we are presenting the Waseda-KyotoKagaku airway No. 1 (WKA-1). The WKA-1 consists of three different kinds of array of sensors which are embedded into a conventional mannequin. In order to embed the array of sensors, we have simplified the design of some of the simulated organs (upper airway, oral cavity, tongue and teeth) of the mannequin. A set of evaluation parameters were proposed based on the information collected through the sensors. A set of experiments were proposed to experimentally verify the effectiveness of the proposed evaluation parameters to quantitatively detect differences among different levels of skills (anesthetists and unskilled persons).
|
|
| 2. |
|
|
| 3. |
|
|
| 4. |
|
|
| 5. |
|
|
| 6. |
|
|
| 7. |
|
|
| 8. |
|
|
| 9. |
- Noh, Y., et al.
(author)
-
Reproducing Difficulties of Airway Management on Patients with Restricted Mouth Opening using the WKA-1
- 2007
-
Conference paper (peer-reviewed)abstract
- Airway management is provided by emergency medical technicians or anesthetists in order to save unconscious patients under emergency situations. Even though airway management is basic skill, there may be some difficulties while performing airway management to patients with abnormalities. Therefore, it is important to train medical students to perform such a task on patients with abnormalities. Recently, many companies are developing airway training mannequins designed to reproduce the conditions of the airway management procedure. However, such training devices cannot provide any quantitative information of the training progress so that few amount of feedback can be provided to trainees. For this purpose, we have proposed the development of an airway management training system which has been designed to embed sensors into a conventional mannequin. As a result, we have developed the Waseda-Kyotokagaku airway No. 1 (WKA-1). In this paper, the WKA-1 was used to reproduce the airway management on patients with abnormalities on jaw opening. For this purpose, we have added an array of springs to simulate those abnormalities. Then, we proposed an experiment to detect the differences on performances among doctors (anesthetist) while performing the airway management in patients with and without abnormalities on the jaw opening. Both cases were analyzed quantitatively by using the functionalities of the WKA-1. From the experimental results, we could find a statistically significant difference between both cases
|
|
| 10. |
- Noh, Y., et al.
(author)
-
WKA-1R robot-assisted quantitative assessment of airway management
- 2008
-
In: International Journal of Computer Assisted Radiology and Surgery, 3(6): 543-550. - : Springer. - 1861-6410 .- 1861-6429. ; 3:6, s. 543-550
-
Journal article (peer-reviewed)abstract
- ObjectThe emerging field of medical robotics aims tointroduce intelligent tools for physician support. The main challenges for developing efficient medical robotic training systems are simulating real-world conditions of the task and assuring training effectiveness. High anatomic fidelity has been achieved in current systems, but they are limited to provide merely subjective assessments of the training progress. We simulated airway intubation using a unique medical robot and developed objective performance criteria to assess task performance.Materials and methodsA patient simulation robot was designed to mimic real-world task conditions and provide objective assessments of training progress. The Waseda– Kyotokagaku Airway No. 1R (WKA-1R) includes a human patient model with embedded sensors. An evaluation function was developed for the WKA-1R to quantitatively assess task performance. The evaluation includes performance indices and coefficient weighting. The performance indices were defined based on experiments carried out with medical doctors and from information found in the medical literature. The performance indices are: intubation time, jaw opening, incisor teeth force, cuff pressure, tongue force and tube position. To determine the weighting of coefficients, we used discriminant analysis.ResultsExperiments were carried out with volunteers to determine the effectiveness of the WKA-1R to quantitatively evaluate their performance while performing airway management. We asked subjects from different levels of expertise (from anesthetists to unskilled) to perform the task. From the experimental results, we determined operator effectiveness using the proposed performance indices. We found a significant difference between the experimental groups by evaluating their performances using the proposed evaluation function (P < 0.05).ConclusionsThe WKA-1R robot was designed to quantitatively acquire information on the performances of trainees during intubation procedures. From the experimental results, we could objectively determine operator effectiveness while providing quantitative task assessments.
|
|
| 11. |
|
|
| 12. |
|
|
| 13. |
|
|
| 14. |
|
|
| 15. |
|
|
| 16. |
|
|
| 17. |
|
|
| 18. |
|
|
