Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Caitlin N. Teague"'
Autor:
Kristine L. Richardson, Caitlin N. Teague, Samer Mabrouk, Brandi N. Nevius, Goktug C. Ozmen, Rachel S. Graham, Daniel P. Zachs, Adam Tuma, Erik J. Peterson, Hubert H. Lim, Omer T. Inan
Publikováno v:
IEEE transactions on bio-medical engineering. 69(12)
Rheumatoid arthritis (RA) is a chronic inflammatory syndrome that features painful and destructive joint disease. Aggressive disease-modifying treatment can result in reduced symptoms and protection from irreversible joint damage; however, assessment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dd15683655987355cb42a87ba460805
https://pubmed.ncbi.nlm.nih.gov/35604995
https://pubmed.ncbi.nlm.nih.gov/35604995
Autor:
Andrew M. Carek, Florencia Garcia-Vicente, Brandi N. Nevius, J. Alex Heller, Caitlin N. Teague, Omer T. Inan, Samer Mabrouk, Mozziyar Etemadi
Publikováno v:
IEEE Sensors Journal. 20:10323-10334
Objective: We designed and validated a wearable, multimodal sensor brace for knee joint health assessment. Methods: An embedded-, two-microcontroller-based approach is used to sample high-throughput, multi-microphone joint acoustics (46.875 kHz) as w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a8508dc2474191495470ed98890bcc5
https://doi.org/10.1109/jsen.2020.2994552
https://doi.org/10.1109/jsen.2020.2994552
Autor:
Goktug C. Ozmen, Brandi N. Nevius, Christopher J. Nichols, Samer Mabrouk, Caitlin N. Teague, Omer T. Inan
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Developments in wearable technologies created opportunities for non-invasive joint health assessment while subjects perform daily activities during rehabilitation and recovery. However, existing state-of-art solutions still require a health professio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24ca02e6901843a9632322d1a420384d
https://pubmed.ncbi.nlm.nih.gov/34892799
https://pubmed.ncbi.nlm.nih.gov/34892799
Autor:
Caitlin N. Teague, Paul Wolkoff, Mindy L. Millard-Stafford, Omer T. Inan, Geza F. Kogler, Maziyar Baran Pouyan, Sinan Hersek, Michael N. Sawka
Publikováno v:
IEEE Transactions on Biomedical Engineering. 65:1291-1300
OBJECTIVE: To study knee acoustical emission patterns in subjects with acute knee injury immediately following injury and several months after surgery and rehabilitation. METHODS: We employed an unsupervised graph mining algorithm to visualize hetero
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec4f6c84b014e7bce1b1ea4505029327
https://doi.org/10.1109/tbme.2017.2743562
https://doi.org/10.1109/tbme.2017.2743562
Autor:
Caitlin N. Teague, Hakan Toreyin, Sinan Hersek, Hyeon-Ki Jeong, Miheer M. Bavare, Paul Wolkoff, Michael N. Sawka, Omer T. Inan, Mindy L. Millard-Stafford
Publikováno v:
IEEE Transactions on Biomedical Engineering. 64:2353-2360
We designed and validated a portable electrical bioimpedance (EBI) system to quantify knee joint health.Five separate experiments were performed to demonstrate the: 1) ability of the EBI system to assess knee injury and recovery; 2) interday variabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ad15fcbb66198305f9dc324a29a9cb5
https://doi.org/10.1109/tbme.2016.2641958
https://doi.org/10.1109/tbme.2016.2641958
Autor:
Caitlin N. Teague, Michael L. Jones, Geza F. Kogler, Mindy L. Millard-Stafford, Hakan Toreyin, Sinan Hersek, Michael N. Sawka, Omer T. Inan
Publikováno v:
IEEE Transactions on Biomedical Engineering. 63:1581-1590
Objective: We present the framework for wearable joint rehabilitation assessment following musculoskeletal injury. We propose a multimodal sensing (i.e., contact based and airborne measurement of joint acoustic emission) system for at-home monitoring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97ece479ecbd6de8c3cebd41ae1515af
https://doi.org/10.1109/tbme.2016.2543226
https://doi.org/10.1109/tbme.2016.2543226
Autor:
Daniel C. Whittingslow, Geza F. Kogler, Sinan Hersek, Caitlin N. Teague, Maziyar Baran Pouyan, Michael N. Sawka, Omer T. Inan, Mindy L. Millard-Stafford
Publikováno v:
Journal of applied physiology (Bethesda, Md. : 1985). 124(3)
Knee injuries and chronic disorders, such as arthritis, affect millions of Americans, leading to missed workdays and reduced quality of life. Currently, after an initial diagnosis, there are few quantitative technologies available to provide sensitiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0193eee255da09d00cf317de5b8ed5e3
https://pubmed.ncbi.nlm.nih.gov/28751371
https://pubmed.ncbi.nlm.nih.gov/28751371
Publikováno v:
AIP Conference Proceedings.
We have developed a novel, wearable sensing system based on miniature piezoelectric contact microphones for measuring the acoustical emissions from the knee during movement. The system consists of two contact microphones, positioned on the medial and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95eb1586692fd940286ca7d2d5f895e4
https://doi.org/10.1063/1.4974623
https://doi.org/10.1063/1.4974623
Publikováno v:
2016 IEEE SENSORS.
A proof-of-concept low-power analog classifier for assessing acoustic signals from the knee joint on a reconfigurable Field Programmable Analog Array (FPAA) is presented in this paper. Knee joint sounds are measured using piezoelectric (contact) micr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd79c5af737789af09aeca5ccf0fe90c
https://doi.org/10.1109/icsens.2016.7808748
https://doi.org/10.1109/icsens.2016.7808748
Publikováno v:
EMBC
An algorithm for performing activity classification for a joint health assessment system using acoustical emissions from the knee is presented. The algorithm was refined based on linear acceleration data from the shank and the thigh sampled at 100 Hz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1323d22a863bf3a9a55216dd6874d65c
https://doi.org/10.1109/embc.2016.7591388
https://doi.org/10.1109/embc.2016.7591388