A preliminary study of force estimation based on surface EMG: Towards neuromechanically guided soft oral rehabilitation robot

Yu, Haibo; Sun, Yi; Bai, Fengjun; Ren, Hongliang

doi:10.1109/icorr.2015.7281333

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…This scoping review provides an overview of the current state of robotics in dentistry, with articles that are not directly related to dentistry being excluded from the review. The development of dental robots is mainly focused on by university research grou ps [19][20][21][22]61,63,[67][68][69][70][71][72][73][74][75][76][77][78][79][80][81][82][83][84][88][89][90][91][92][93][94][95][96][97][98][103][104][105][109][110][111][112][113][114][115][116][117][118][119][120]...…”

Section: Discussionmentioning

confidence: 99%

“…However, this robot was created to massage the bilateral masseter and temporal muscles; hence, the problem of massaging the painless muscles needs to be solved through future studies. Additionally, Yu et al [120] presented a force estimation algorithm based on masseter muscle surface electromyography signals to be used in the control of a developed soft oral rehabilitation robot. Vela-Anton et al [121] presented the design and prototype of a soft robotic system to rehabilitate the sucking capacities of preterm neonates.…”

Section: Dentistrymentioning

confidence: 99%

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Clinical application of robots in dentistry: A scoping review

Inamochi

Zuo

et al. 2023

J Prosthodont Res

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The term "robot" originates from the Slavic root "robot-", which means labor. The Czech writer Karel Čapek used the term to signify artificial human bodies without souls in his classic 1921 play Rossum's Universal Robots [1]. Along with other important discoveries and inventions, such as X-rays and quantum and relativity theories, the term "robot" became the cornerstone of the rise of modernism in the arts and sciences [2]. However, there is no unified definition of "robotics" in academic fields. People continue to endow it with more profound and broader meanings with the development of applications in various fields. In this review, we define robotics as a field of reprogrammable, multifunctional, multipurpose, and versatile systems intelligently linking sensing to action [3].Generally, robots can be classified based on their level of autonomy into three categories: active, semi-active, and masterslave. They can also be classified based on the type of material into two categories: hard and soft. Active systems work autonomously and undertake pre-programmed tasks, while semi-active systems allow surgeons to provide guidance and assistance to these preprogrammed robotic systems, like telerobots. Master-slave systems lack pre-programming and depend entirely on the operations of surgeons. Examples of such systems are described later in the review [4]. In terms of material, traditional (i.e., hard) robots are made of rigid hard materials, while soft robots designed to imitate the biological system in nature are made of flexible soft materials, which allow for greater flexibility, adaptability, freedom, and stronger deformation ability. Their application in the medical field also makes the interaction between the robotic system and humans more secure[3].While robots have been in the industry for several decades, their application in medicine only began in the 1990s. The first recorded medical application of a robot was in 1985 when it was used to place a needle for a brain biopsy under the guidance of computed tomography [5]. The first successful surgical robot to be applied clinically was developed in the United States [6]. Since robots are advantageous over humans in terms of accuracy, stability, safety, high dexterity, and reduction of doctors' fatigue, they have become widely used in many medical fields currently [7,8], especially in laparoscopic surgery in urology and cardiac surgery [9]. However, the application of robots in dentistry has been introduced much later compared to medicine. The introduction of new J Prosthodont Res. 2023; **(**): ****-****

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Section: Discussionmentioning

confidence: 99%

Section: Dentistrymentioning

confidence: 99%

Clinical application of robots in dentistry: A scoping review

Inamochi

Zuo

et al. 2023

J Prosthodont Res

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“…Ref. [98] proposes a force estimation algorithm based on the masseter muscle EMG signal and applies it to the control of a soft mouth rehabilitation robot system. Refs.…”

Section: Pneumatic Fiber Braids and Elastomeric Polymersmentioning

confidence: 99%

Soft Rehabilitation and Nursing-Care Robots: A Review and Future Outlook

Peng

Huang

2019

Applied Sciences

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Rehabilitation and nursing-care robots have become one of the prevalent methods for assistant treatment of motor disorder patients in the field of medical rehabilitation. Traditional rehabilitation robots are mostly made of rigid materials, which significantly limits their application for medical rehabilitation and nursing-care. Soft robots show great potential in the field of rehabilitation robots because of their inherent compliance and safety when they interact with humans. In this paper, we conduct a systematic summary and discussion on the soft rehabilitation and nursing-care robots. This study reviews typical mechanical structures, modeling methods, and control strategies of soft rehabilitation and nursing-care robots in recent years. We classify soft rehabilitation and nursing-care robots into two categories according to their actuation technology, one is based on tendon-driven actuation and the other is based on soft intelligent material actuation. Finally, we analyze and discuss the future directions and work about soft rehabilitation and nursing-care robots, which can provide useful guidance and help on the development of advanced soft rehabilitation and nursing-care robots.

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“…Our next action is thus to conduct research and development of an occlusal force estimation device based on this ear sensor. Previous occlusal force measurement systems required insertion of a pressure sensor into the patient’s mouth [12,13,14,15,16,17,18,19,20,21,22,23] or placement of electrodes on the patient’s jaw or cheek to measure the electromyography for occlusal force estimation [24,25,26,27,28,29].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Measurement of Ear Canal Movement, Electromyography of the Masseter Muscle and Occlusal Force for Earphone-Type Occlusal Force Estimation Device Development

Kurosawa

Taniguchi

Momose

et al. 2019

Sensors

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We intend to develop earphone-type wearable devices to measure occlusal force by measuring ear canal movement using an ear sensor that we developed. The proposed device can measure occlusal force during eating. In this work, we simultaneously measured the ear canal movement (ear sensor value), the surface electromyography (EMG) of the masseter muscle and the occlusal force six times from five subjects as a basic study toward occlusal force meter development. Using the results, we investigated the correlation coefficient between the ear sensor value and the occlusal force, and the partial correlation coefficient between ear sensor values. Additionally, we investigated the average of the partial correlation coefficient and the absolute value of the average for each subject. The absolute value results indicated strong correlation, with correlation coefficients exceeding 0.9514 for all subjects. The subjects showed a lowest partial correlation coefficient of 0.6161 and a highest value of 0.8286. This was also indicative of correlation. We then estimated the occlusal force via a single regression analysis for each subject. Evaluation of the proposed method via the cross-validation method indicated that the root-mean-square error when comparing actual values with estimates for the five subjects ranged from 0.0338 to 0.0969.

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A preliminary study of force estimation based on surface EMG: Towards neuromechanically guided soft oral rehabilitation robot

Cited by 7 publications

References 14 publications

Clinical application of robots in dentistry: A scoping review

Clinical application of robots in dentistry: A scoping review

Soft Rehabilitation and Nursing-Care Robots: A Review and Future Outlook

Simultaneous Measurement of Ear Canal Movement, Electromyography of the Masseter Muscle and Occlusal Force for Earphone-Type Occlusal Force Estimation Device Development

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