Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yongxuan Tan"'
Autor:
Yongxuan Tan, Sibylle Rérolle, Thilina Dulantha Lalitharatne, Nejra van Zalk, Rachael E. Jack, Thrishantha Nanayakkara
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Medical training simulators can provide a safe and controlled environment for medical students to practice their physical examination skills. An important source of information for physicians is the visual feedback of involuntary pain facial
Externí odkaz:
https://doaj.org/article/c4ba908e2e854723b62d5ad7fe1e35b1
Autor:
Thilina Dulantha Lalitharatne, Yongxuan Tan, Florence Leong, Liang He, Nejra Van Zalk, Simon De Lusignan, Fumiya Iida, Thrishantha Nanayakkara
Publikováno v:
IEEE Access, Vol 8, Pp 215874-215891 (2020)
Recent technological advances in robotic sensing and actuation methods have prompted development of a range of new medical training simulators with multiple feedback modalities. Learning to interpret facial expressions of a patient during medical exa
Externí odkaz:
https://doaj.org/article/09f0bae1857846d4b3b276b29e0f2c63
Medical percussion is a common manual examination procedure used by physicians to determine the state of underlying tissues from their acoustic responses. Although it has been used for centuries, there is a limited quantitative understanding of its d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07e453c46ce63cb9c73191bd6d2131f5
http://hdl.handle.net/10044/1/97514
http://hdl.handle.net/10044/1/97514
Autor:
Fumiya Iida, Thrishantha Nanayakkara, Liang He, Nejra Van Zalk, Simon de Lusignan, Florence Leong, Thilina Dulantha Lalitharatne, Yongxuan Tan
Publikováno v:
IEEE Robotics and Automation Letters. 6:643-650
Physicians use pain expressions shown in a patient's face to regulate their palpation methods during physical examination. Training to interpret patients’ facial expressions with different genders and ethnicities still remains a challenge, taking n
Autor:
Rachael E. Jack, Nejra Van Zalk, Thilina Dulantha Lalitharatne, Sibylle Rérolle, Yongxuan Tan, Thrishantha Nanayakkara
Medical training simulators can provide a safe and controlled environment for medical students to practice their physical examination skills. An important source of information for physicians is the visual feedback of involuntary pain facial expressi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::837e4c2c05707ca49e73652c5e1c6720
http://hdl.handle.net/10044/1/95855
http://hdl.handle.net/10044/1/95855
People commonly assume that pain is universally displayed, yet there are inconsistencies in pain expression and recognition from facial expressions, with culture, sex, and perceptual context of importance. In this study, we adopted a data-driven appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7892d06a3005d6c09285e56968a4a63
https://doi.org/10.31219/osf.io/9ukqy
https://doi.org/10.31219/osf.io/9ukqy
Autor:
Nejra Van Zalk, Simon de Lusignan, Florence Leong, Thrishantha Nanayakkara, Yongxuan Tan, Fumiya Iida, Thilina Dulantha Lalitharatne, Liang He
Publikováno v:
IEEE Access, Vol 8, Pp 215874-215891 (2020)
Recent technological advances in robotic sensing and actuation methods have prompted development of a range of new medical training simulators with multiple feedback modalities. Learning to interpret facial expressions of a patient during medical exa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17f124e0fdf6dd003ab9aaa8cc357a56
http://hdl.handle.net/10044/1/85557
http://hdl.handle.net/10044/1/85557
Autor:
Connor Myant, Joseph Folkes, Mohanad Bahshwan, Usman Waheed, Samuel Joel Willis, Livia Mariadaria Kalossaka, Yongxuan Tan, Shiya Li
Publikováno v:
International Journal of Bioprinting
Respiratory protective equipment (RPE) is traditionally designed through anthropometric sizing to enable mass production. However, this can lead to long-standing problems of low-compliance, severe skin trauma, and higher fit test failure rates among