Development of Human Tongue Model for Mealtime Assistant Training Using Oral Care Simulation Model
Atsushi Mitani*, and Masumi Muramatsu**
*School of Design, Sapporo City University
1 Geijyutsu-no-mori, Minami-ku, Sapporo, Hokkaido 005-0864, Japan
**School of Nursing, Sapporo City University, Sapporo, Japan
In the recent years, Japan has been facing the problem of an aged society, and oral care is an important aspect in maintaining the oral health of elderly persons. Swallowing disorders, caused by various factors, are one of the most severe oral problems associated with advancing age. A mealtime assistant can help elderly persons in this situation, and thus, mealtime assistance is considered as an essential skill for students in nursing education. There are, however, some problems in mealtime assistant training in nursing schools. For example, there are few instructors compared to the number of students and few opportunities in clinical situations. Therefore, training through simulation has received significant attention as an effective educational process for students in medical and nursing schools. We have attempted to develop an oral care simulator and corresponding software to provide nursing students with an effective oral care training environment. Previously, we developed a prototype model of an oral care simulator for learning tooth brushing. In this study, we developed a tongue model for a mealtime assistant simulation model. Incorrect meal assistance may lead to mouth injury and aspiration pneumonia. To prevent such situations, the caregiver must serve the meal on an appropriate position on the tongue using a spoon, and must release it safely. This paper describes a summary of the developed mealtime assistant simulator and the procedures of tongue model development using three-dimensional computer-assisted design (3D-CAD) and 3D printing. We also developed a sensor system to be embeded in the tongue model to detect spoon motion. The sensor system for the tongue model was evaluated through spoon detection experiments.
-  A. Mitani, T. Daigou, and M. Muramatsu, “Development of first prototype of oral care simulator and its software to record oral care procedure,” Trans. of the Society for Nursing Science and Engineering, Vol.4, No.1, pp. 58-66, 2017.
-  A. Imai, S. Yasuda, Y. Matsushima, N. Nakanishi, M. Tanaka, and T. Kawazoe, “Investigation of Meals in Health Care Service Facility,” The J. of the Japan Prosthodontic Society, Vol.49, No.3, pp. 469-477, 2005.
-  Y. Tanaka, “Spoon technic to extract oral function,” Dementia Care Cases J., Vol.8, No.2, pp. 135-143, 2015 (in Japanese).
-  J. Kim, A. Alspach, and K. Yamane, “3D printed soft skin for safe human-robot interaction,” Proc. of 2015 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), pp. 2419-2425, 2015.
-  S. S. Arora, K. Cao, A. K. Jain, and N. G. Paulter, “Design and Fabrication of 3D Fingerprint Targets,” IEEE Trans. on Information Forensics and Security, Vol.11, No.10, pp. 2284-2297, 2016.
-  D. Yamada, T. Maeno, and Y. Yamada, “Artificial Finger Skin Having Ridges and Distributed Tactile Sensors Used for Grasp Force Control,” J. Robot. Mechatron., Vol.14, No.2, pp. 140-146, 2002.
-  K. Fukui and K. Tsujita, “A Suitable Design of Assist System for Human Meal by Reducing Maneuverability Variance in Workspace,” J. Robot. Mechatron. Vol.28, No.6, pp. 781-789, 2016.
-  Y. Matsumoto, M. Seki, T. Ando, Y. Kobayashi, Y. Nakashima, H. Iijima, M. Nagaoka, and M. G. Fujie, “Development of an Exoskeleton to Support Eating Movements in Patients with Essential Tremor,” J. Robot. Mechatron., Vol.25, No.6, pp. 949-958, 2013.
-  D. Park, I. Koo, and K, Cho, “Evaluation of an improved soft meal assistive exoskeleton with an adjustable weight-bearing system for people with disability,” Proc. of 2015 IEEE Int. Conf. on Rehabilitation Robotics (ICORR), pp. 79-84, 2015.
-  Y. Kuriyama, K. Yano, and M. Hamaguchi, “Trajectory planning for meal assist robot considering spilling avoidance,” Proc. of 2008 IEEE Int. Conf. on Control Applications, pp. 1220-1225, 2008.
-  K. Yano and Y. Kuriyama, “3-D transfered control using spilling avoidance control for meal assist robot by using CFD simulator,” Proc. of 2008 10th Int. Conf. on Control, Automation, Robotics and Vision, pp. 1758-1763, 2008.
-  H. Takanobu, A. Omata, F. Takahashi, K. Yokota, K. Suzuki, H. Miura, M. Madokoro, Y. Miyazaki, and K. Maki, “Dental Patient Robot as a Mechanical Human Simulator,” Proc. of 2007 IEEE Int. Conf. on Mechatronics, pp. 1-6, 2007.
-  T. Hashimoto, Y. Takakura, T. Hamada, T. Akazawa, and M. Yamamoto, “Development of Foot Gait Simulator for Presenting Environment to Each User,” J. Adv. Comput. Intell. Intell. Inform., Vol.15, No.5, pp. 554-562, 2011.
-  K. Tokoro, T. Hashimoto, and H. Kobayashi, “Development of Robotic Defecation Simulator,” J. Robot. Mechatron., Vol.26, No.3, pp. 377-387, 2014
-  SimMan. https://www.laerdal.com/us/doc/86/SimMan [Accessed April 7, 2019]
-  Oral care simulator “Seikeitsu-kun.” https://www.kyotokagaku.com/jp/educational/products/detail02/m89.html [Accessed April 7, 2019]
-  Dental simulator phantom DR-H Ni:Mo. http://www.nissin-dental.net/products/DentalTrainingProducts/DentalSimulator/index.html [Accessed April 7, 2019]
-  MANABOT (in Japanese). http://www.nissin-dental.jp/products/educationalmodels/simulators/manabot/index.html [Accessed April 7, 2019]
-  K. Hoshino, D. Mori, and M. Tomida, “An Optical Tactile Sensor Assuming Cubic Polynomial Deformation of Elastic Body,” J. Robot. Mechatron., Vol.21, No.6, pp. 780-788, 2009.
-  N. Matsunaga, A. T. Zengin, H. Okajima, and S. Kawaji, “Emulation of Fast and Slow Pains Using Multi-Layer Sensor Modeled the Layered Structure of Human Skin,” J. Robot. Mechatron., Vol.23, No.1, pp. 173-179, 2011.
-  T. Morita, T. Kikuchi, and C. Ishii, “Development of Sensory Feedback Device for Myoelectric Prosthetic Hand to Provide Hardness of Objects to User,” J. Robot. Mechatron., Vol.28, No.3, pp. 361-370, 2016.
-  Y. Wang, K. Xi, D. Mei, G. Liang, and Z. Chen, “A Flexible Tactile Sensor Array Based on Pressure Conductive Rubber for Contact Force Measurement and Slip Detection,” J. Robot. Mechatron., Vol.28, No.3, pp. 378-385, 2016.
-  Y. Kamijo, “Illustration of Oral Anatomy, 4 neurology,” pp. 840-841, Anatom Co. Ltd., 1997 (in Japanese).
-  O. Amano, “Tongue as the third arm,” J. of Japanese Society of Child Health, Vol.75, No.6, pp. 7106-7108, 2016 (in Japanese).
-  “Encyclopedia Nipponica 2001 (second edition),” Vol.10, p. 824, Shogakukan, Inc., 1994 (in Japanese).
-  T. Nanbu, T. Ono, K. Hori, T. Fukuoka, N. Kodama, and K. Doumen, “Development of a Simple Tongue-Oral Contacting Training Using Spring Balance – Effectiveness of Load by Spring Balance on Tongue Pressure,” J. of Japanese Association of Speech-Language-Hearing Therapists, Vol.15, No.2, pp. 62-70, 2018 (in Japanese).
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