Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ravikiran, Singapogu"'
Autor:
Simar P. Singh, Amir Mehdi Shayan, Jianxin Gao, Joseph Bible, Richard E. Groff, Ravikiran Singapogu
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 485-493 (2024)
Goal: Vascular surgical procedures are challenging and require proficient suturing skills. To develop these skills, medical training simulators with objective feedback for formative assessment are gaining popularity. As hardware advancements offer mo
Externí odkaz:
https://doaj.org/article/de9b994ae7f547d18b533038d6e12df5
Publikováno v:
IEEE Access, Vol 10, Pp 66862-66873 (2022)
Palpation is essential for accurate diagnosis and treatment in many clinical examinations and procedures. Specifically, vascular palpation is used to diagnose cardiovascular health issues and identify anatomical landmarks in the peripheral vascular s
Externí odkaz:
https://doaj.org/article/837f07def0d44d0399b4a58db39577ff
Autor:
Zhanhe Liu, Joe Bible, Lydia Petersen, Prabir Roy-Chaudhury, Judy Geissler, Deborah Brouwer-Maier, Ravikiran Singapogu
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
Lack of cannulation skill during hemodialysis treatments results in poor clinical outcomes due to infiltration and other cannulation-related trauma. Unfortunately, training of patient care technicians and nurses, specifically on the “technical” a
Externí odkaz:
https://doaj.org/article/a382003b347144309ef3c67197cf3cae
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 1, Pp 228-234 (2020)
Goal: Simulators that incorporate haptic feedback for clinical skills training are increasingly used in medical education. This study addresses the neglected aspect of rendering simulated feedback for vascular palpation skills training by systematica
Externí odkaz:
https://doaj.org/article/dbabc4084d6f49219265ceb9d813d954
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Medical training simulators have the potential to provide remote and automated assessment of skill vital for medical training. Consequently, there is a need to develop “smart” training devices with robust metrics that can quantify clinical skills
Externí odkaz:
https://doaj.org/article/1dc8bbc777cc4db5a6b0f43c3f58725d
Autor:
Ziyang Zhang, Lydia Petersen, Joe Bible, Judy Geissler, Prabir Roy-Chaudhury, Deborah Brouwer-Maier, Ravikiran Singapogu
Publikováno v:
Kidney360.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::434357e953d8a203bc8bbee1a65ecd9e
https://doi.org/10.34067/kid.0000000000000163
https://doi.org/10.34067/kid.0000000000000163
Autor:
Zhanhe Liu, Joe Bible, Lydia Petersen, Ziyang Zhang, Prabir Roy-Chaudhury, Ravikiran Singapogu
Publikováno v:
Computer Methods and Programs in Biomedicine. 236:107429
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3423fe3c470695e6eba4a598008a0a6
https://doi.org/10.1016/j.cmpb.2023.107429
https://doi.org/10.1016/j.cmpb.2023.107429
Publikováno v:
Healthcare and Medical Devices.
Minimally invasive surgeries are meticulous procedures that require complex movement within a limited range of motion, requiring intensive training. Medical training simulators often have limited sensing modalities, restricting the quality of metrics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2350edb068ba7fa152454f4028d28123
https://doi.org/10.54941/ahfe1002099
https://doi.org/10.54941/ahfe1002099
Autor:
Ravikiran, Singapogu, Anand, Jagannathan, Naren, Nagarajan, Chris, Moody, Guigen, Zhang, David, Cull
Publikováno v:
Studies in health technology and informatics. 220
In this work, we present a novel capacitance-based sensor for teaching hemodialysis cannulation skills. Initial results from a pilot experiment suggest that data from the sensor could be used to indicate puncture events in tissue-like materials.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::a0cbb2d45b8a8de258536d4e52e8b30a
https://pubmed.ncbi.nlm.nih.gov/27046609
https://pubmed.ncbi.nlm.nih.gov/27046609
Publikováno v:
Studies in health technology and informatics. 220
In this work, we describe a novel platform for quantifying surgical suturing skill. Forces and user movements are recorded using sensors during suturing maneuvers performed on a suture patch. Preliminary results from a pilot experiment suggest that f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::d6d7a8895da1aff574364e6510d784de
https://pubmed.ncbi.nlm.nih.gov/27046608
https://pubmed.ncbi.nlm.nih.gov/27046608