Identification of muscle activities involved in hyoid bone movement during swallowing using computer simulation

References

• Aoi S, Funato T. 2016. Neuromusculoskeletal models based on the muscle synergy hypothesis for the investigation of adaptive motor control in locomotion via sensory-motor coordination. Neurosci Res (N Y). 104:88–95. doi:10.1016/j.neures.2015.11.005.
   Google Scholar
• Attrill S, White S, Murray J, Hammond S, Doeltgen S. 2018. Impact of oropharyngeal dysphagia on healthcare cost and length of stay in hospital: a systematic review. BMC Health Serv Res. 18(1):594. doi:10.1186/s12913-018-3376-3.
   Google Scholar
• Azegami H, Ono S, Takeuchi K, Kikuchi T, Michiwaki Y, Hanyu K, Kamiya T. 2022. Identification of muscle activity in tongue motion during swallowing through medical image data. J Biomech Sci Eng. 17(1):21–00254. doi:10.1299/jbse.21-00254.
   Google Scholar
• Buchaillard S, Perrier P, Payan Y. 2009. A biomechanical model of cardinal vowel production: muscle activations and the impact of gravity on tongue positioning. J Acoust Soc Am. 126(4):2033–2051. doi:10.1121/1.3204306.
   Google Scholar
• DiBardino DM, Wunderink RG. 2015. Aspiration pneumonia: a review of modern trends. J Crit Care. 30(1):40–48. doi:10.1016/j.jcrc.2014.07.011.
   Google Scholar
• GBD 2017 Causes of Death Collaborators. 2018. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 392(10159):1736–1788. doi:10.1016/S0140-6736(18)32203-7.
   Google Scholar
• Hashimoto T, Urabe M, Chee-Sheng F, Murakoshi A, Kikuchi T, Michiwaki Y, Koike T. 2020. Development of a musculoskeletal model of hyolaryngeal elements for understanding pharyngeal swallowing mechanics. Appl Sci. 10(18):6276. doi:10.3390/app10186276.
   Google Scholar
• Ho AK, Inamoto Y, Saitoh E, Green S, Fels S. 2018. Extracting moving boundaries from dynamic, multislice CT images for fluid simulation. Comput Methods Biomech Biomed Engin. 6(5):539–544. doi:10.1080/21681163.2016.1188028.
   Google Scholar
• Ho AK, Tsou L, Green S, Fels S. 2014. A 3D swallowing simulation using smoothed particle hydrodynamics. Comput Methods Biomech Biomed Engin. 2(4):237–244. doi:10.1080/21681163.2013.862862.
   Google Scholar
• Inokuchi H, González-Fernández M, Matsuo K, Brodsky MB, Yoda M, Taniguchi H, Okazaki H, Hiraoka T, Palmer JB. 2014. Electromyography of swallowing with fine wire intramuscular electrodes in healthy human: activation sequence of selected hyoid muscles. Dysphagia. 29(6):713–721. doi:10.1007/s00455-014-9566-1.
   Google Scholar
• Inokuchi H, González-Fernández M, Matsuo K, Brodsky MB, Yoda M, Taniguchi H, Okazaki H, Hiraoka T, Palmer JB. 2016. Electromyography of swallowing with fine wire intramuscular electrodes in healthy human: amplitude difference of selected hyoid muscles. Dysphagia. 31(1):33–40. doi:10.1007/s00455-015-9655-9.
   Google Scholar
• Kikuchi T, Michiwaki Y, Koshizuka S, Kamiya T, Toyama Y. 2017. Numerical simulation of interaction between organs and food bolus during swallowing and aspiration. Comput Biol Med. 80:114–123. doi:10.1016/j.compbiomed.2016.11.017.
   Google Scholar
• Koike N, Ii S, Yoshinaga T, Nozaki K, Wada S. 2017. Model-based inverse estimation for active contraction stresses of tongue muscles using 3D surface shape in speech production. J Biomech. 64:69–76. doi:10.1016/j.jbiomech.2017.09.008.
   Google Scholar
• Koshizuka S, Nobe A, Oka Y. 1998. Numerical analysis of breaking waves using the moving particle semi-implicit method. Int J Numer Methods Fluids. 26(7):751–769. doi:10.1002/(SICI)1097-0363(19980415)26:7<751:AID-FLD671>3.0.CO;2-C.
   Google Scholar
• Lindenauer PK, Strait KM, Grady JN, Ngo CK, Parisi ML, Metersky M, Ross JS, Bernheim SM, Dorsey K. 2018. Variation in the diagnosis of aspiration pneumonia and association with hospital pneumonia outcomes. Ann Am Thorac Soc. 15(5):562–569. doi:10.1513/AnnalsATS.201709-728OC.
   Google Scholar
• Makhnevich A, Feldhamer KH, Kast CL, Sinvani L. 2019. Aspiration pneumonia in older adults. J Hosp Med. 14(7):429–435. doi:10.12788/jhm.3154.
   Google Scholar
• Mialland A, Kinsiklounon B, Tian G, Noûs C, Bonvilain A. 2022. Submental mechanomyography (MMG) to characterize the swallowing signature. IRBM. 43(5):414–421. doi:10.1016/j.irbm.2021.05.001.
   Google Scholar
• Michiwaki Y, Kamiya T, Kikuchi T, Toyama Y, Takai M, Hanyu K, Inoue M, Yahiro N, Koshizuka S. 2020. Realistic computer simulation of bolus flow during swallowing. Food Hydrocoll. 108:106040. doi:10.1016/j.foodhyd.2020.106040.
   Google Scholar
• Michiwaki Y, Kikuchi T, Kamiya T, Toyama Y, Inoue M, Hanyu K, Takai M, Koshizuka S. 2020. Computational modeling of child’s swallowing to simulate choking on toys. Comput Methods Biomech Biomed Engin. 8(3):266–272. doi:10.1080/21681163.2019.1647458.
   Google Scholar
• Ministry of Health, Labour and Welfare, Japan. 2022. Vital statistics in Japan, 2020; [accessed 2022 March 13]. https://www.mhlw.go.jp/toukei/saikin/hw/jinkou/kakutei20/index.html. Japanese.
   Google Scholar
• National Safety Council, USA. 2019. Injury facts, 2018; [accessed 2020 July 13]. https://injuryfacts.nsc.org/.
   Google Scholar
• Odegard GM, Donahue TL, Morrow DA, Kaufman KR. 2008. Constitutive modeling of skeletal muscle tissue with an explicit strain-energy function. J Biomech Eng. 130(6):061017. doi:10.1115/1.3002766.
   Google Scholar
• Park D, Lee HH, Lee ST, Oh Y, Lee JC, Nam KW, Ryu JS. 2017. Normal contractile algorithm of swallowing related muscles revealed by needle EMG and its comparison to videofluoroscopic swallowing study and high resolution manometry studies: a preliminary study. J Electromyogr Kinesiol. 36:81–89. doi:10.1016/j.jelekin.2017.07.007.
   Google Scholar
• Pearson WG Jr, Langmore SE, Yu LB, Zumwalt AC. 2012. Structural analysis of muscles elevating the hyolaryngeal complex. Dysphagia. 27(4):445–451. doi:10.1007/s00455-011-9392-7.
   Google Scholar
• Suzuki Y, Koshizuka S. 2008. A Hamiltonian particle method for non-linear elastodynamics. Int J Numer Methods Eng. 74(8):1344–1373. doi:10.1002/nme.2222.
   Google Scholar
• Tsou L 2012. The effects of muscle aging on hyoid motion during swallowing: a study using a 3D biomechanical model [ master’s thesis]. University of British Columbia.
   Google Scholar
• Tsukagoshi K, Hashimoto T, Koike T 2018. Simultaneous measurement of swallowing sound and mechanomyogram of submental muscle with PVDF film. 40th Annu Int Conf IEEE Eng Med Biol Soc. 2018, Honolulu, Hawaii, 3310–3313.
   Google Scholar
• Vaiman M, Eviatar E, Segal S. 2004. Evaluation of normal deglutition with the help of rectified surface electromyography records. Dysphagia. 19(2):125–132. doi:10.1007/s00455-003-0504-x.
   Google Scholar
• Wang J, Ho AK, Papadopoulos-Nydam G, Rieger J, Inamoto Y, Fels S, Saitoh E, Guo C, Aalto D. 2019. Simulated volume loss in the base of tongue in a virtual swallowing model. Comput Methods Biomech Biomed Engin. 7(4):389–395. doi:10.1080/21681163.2017.1382392.
   Google Scholar
• Zhu M, Yu B, Yang W, Jiang Y, Lu L, Huang Z, Chen S, Li G. 2017. Evaluation of normal swallowing functions by using dynamic high-density surface electromyography maps. Biomed Eng Online. 16(1):133. doi:10.1186/s12938-017-0424-x.
   Google Scholar