Robotic exoskeleton for rehabilitation of TMD via assisted motion of jaw

Surya, Singh; Ramesh, C.R.; M, Sruthi; Kumar, Shivesh

doi:10.1109/icicct.2017.7975182

Cited by 6 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, neurological rehabilitative exoskeleton robots have been introduced for the practical rehabilitation of patients with TMD [125,126]. Different designs were suggested including the use of a soft pneumatic actuator allowing comfortable patient interaction [127]; a shouldermounted robotic exoskeleton for better esthetics and portability, incorporating visual feedback into therapy routines to promote active participation with safety design considerations [128]; assisted motion of the jaw using EMG-and ECG-based feedback systems accurately tracking the progress of a patient over time [129]; and central path generator concept for real-time online trajectory generation, allowing the adaption to the environment and changing the chewing pattern in real-time parameters in a smooth and continuous manner [130,131].…”

Section: Rehabilitative Robots In Management Of Tmd Massaging Robots and Mouth Training Robotsmentioning

confidence: 99%

Robotic Applications in Orthodontics: Changing the Face of Contemporary Clinical Care

Adel

Zaher

Harouni

et al. 2021

BioMed Research International

View full text Add to dashboard Cite

The last decade (2010-2021) has witnessed the evolution of robotic applications in orthodontics. This review scopes and analyzes published orthodontic literature in eight different domains: (1) robotic dental assistants; (2) robotics in diagnosis and simulation of orthodontic problems; (3) robotics in orthodontic patient education, teaching, and training; (4) wire bending and customized appliance robotics; (5) nanorobots/microrobots for acceleration of tooth movement and for remote monitoring; (6) robotics in maxillofacial surgeries and implant placement; (7) automated aligner production robotics; and (8) TMD rehabilitative robotics. A total of 1,150 records were searched, of which 124 potentially relevant articles were retrieved in full. 87 studies met the selection criteria following screening and were included in the scoping review. The review found that studies pertaining to arch wire bending and customized appliance robots, simulative robots for diagnosis, and surgical robots have been important areas of research in the last decade (32%, 22%, and 16%). Rehabilitative robots and nanorobots are quite promising and have been considerably reported in the orthodontic literature (13%, 9%). On the other hand, assistive robots, automated aligner production robots, and patient robots need more scientific data to be gathered in the future (1%, 1%, and 6%). Technological readiness of different robotic applications in orthodontics was further assessed. The presented eight domains of robotic technologies were assigned to an estimated technological readiness level according to the information given in the publications. Wire bending robots, TMD robots, nanorobots, and aligner production robots have reached the highest levels of technological readiness: 9; diagnostic robots and patient robots reached level 7, whereas surgical robots and assistive robots reached lower levels of readiness: 4 and 3, respectively.

show abstract

Section: Rehabilitative Robots In Management Of Tmd Massaging Robots and Mouth Training Robotsmentioning

confidence: 99%

Robotic Applications in Orthodontics: Changing the Face of Contemporary Clinical Care

Adel

Zaher

Harouni

et al. 2021

BioMed Research International

View full text Add to dashboard Cite

show abstract

“…For example, Surface electromyography (sEMG) is adopted in emerging designs, like [103]- [105], given that a proper data processing allows estimating both the strength exerted by a muscle, or group of muscles, and the position of the articulation according to the activation of these muscles [106], [107]. In fact, there are low-cost commercial initiatives, like Myo [108] and MyoWare [109], that provide a framework with predefined algorithms to detect muscles' activity and determine the related motions. Although its performance and accuracy cannot always compete with custom sEMG solutions with excellent processing stages [110], some open-source designs actively use them for robotic prosthesis [111] and exoskeletons [112].…”

Section: Shoulder Technologiesmentioning

confidence: 99%