Zobrazeno 1 - 10
of 18
pro vyhledávání: '"B.T. Nukala"'
Autor:
Taro Nakano, Donald Y.C. Lie, Jerry Lopez, B.T. Nukala, Steven Zupancic, Tam Nguyen, J. Tsay, Amanda Rodriguez
Publikováno v:
International Journal of Software Innovation. 5:17-29
Due to the serious concerns of fall risks for patients with balance disorders, it is desirable to be able to objectively identify these patients in real-time dynamic gait testing using inexpensive wearable sensors. In this work, the authors took a to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca9bef6f2ace1aa8cee62d249aff3a9f
https://doi.org/10.4018/ijsi.2017010102
https://doi.org/10.4018/ijsi.2017010102
Autor:
Tam Nguyen, Steven Zupancic, B.T. Nukala, Naohiro Shibuya, Amanda I. Rodriguez, Jerry Lopez, Donald Y.C. Lie, J. Tsay
Publikováno v:
Open Journal of Applied Biosensor. :29-39
In this work, a total of 322 tests were taken on young volunteers by performing 10 different falls, 6 different Activities of Daily Living (ADL) and 7 Dynamic Gait Index (DGI) tests using a custom-designed Wireless Gait Analysis Sensor (WGAS). In ord
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6a0c12eaacf228e7d27b7fcbcbcee0a
https://doi.org/10.4236/ojab.2014.34004
https://doi.org/10.4236/ojab.2014.34004
Autor:
Tam Nguyen, J. Tsay, Amanda I. Rodriguez, Jerry Lopez, B.T. Nukala, Donald Y.C. Lie, Taro Nakano, Steven Zupancic
Publikováno v:
Biosensors; Volume 6; Issue 4; Pages: 58
Biosensors
Biosensors, Vol 6, Iss 4, p 58 (2016)
Biosensors
Biosensors, Vol 6, Iss 4, p 58 (2016)
Gait analysis using wearable wireless sensors can be an economical, convenient and effective way to provide diagnostic and clinical information for various health-related issues. In this work, our custom designed low-cost wireless gait analysis senso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a2aec9c7654567a73e959ef05c23a64
Autor:
Amanda Rodriguez, Taro Nakano, B.T. Nukala, Donald Y.C. Lie, Tam Nguyen, J. Lopez, Steven Zupancic
Publikováno v:
ICIS
Due to the serious concerns of fall risks for patients with balance disorders, it is desirable to be able to objectively identify these patients in real-time dynamic gait testing using inexpensive wearable sensors. In this work, we took a total of 49
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::067ac94ccc69be40380cd44ab8f31c91
https://doi.org/10.1109/icis.2016.7550922
https://doi.org/10.1109/icis.2016.7550922
Publikováno v:
2016 Texas Symposium on Wireless and Microwave Circuits and Systems (WMCS).
In this paper, an efficient wireless power transfer (WPT) design using near-field inductive 4-coil strongly-coupled-magnetic-resonance (SCMR) for powering up miniature biosensors at the ISM band of 5.8 GHz is proposed and analyzed. The miniature devi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcab99e657810e1e5fb399822f83785d
https://doi.org/10.1109/wmcas.2016.7577481
https://doi.org/10.1109/wmcas.2016.7577481
Autor:
Ron E. Banister, T. Hall, Jerry Lopez, B.T. Nukala, Donald Y.C. Lie, N. Brewer, C. Stout, Tam Nguyen, J. Tsay
Publikováno v:
2015 IEEE MTT-S International Microwave Symposium.
Doppler-based non-contact vital signs (NCVS) sensor systems have the ability to monitor heart and respiration rates of patients without physical contacts. Because the accuracy of a NCVS sensor can deteriorate quickly in a noisy or cluttered environme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aea302a68f5810c7ddcbc72fc9d6a682
https://doi.org/10.1109/mwsym.2015.7166973
https://doi.org/10.1109/mwsym.2015.7166973
Autor:
Donald Y.C. Lie, B.T. Nukala, Amanda Rodriguez, Naohiro Shibuya, Steven Zupancic, Tam Nguyen, J. Tsay
Publikováno v:
ICMU
A comprehensive and quantified gait analysis is warranted for patients with balance disorders to prevent injury such as falls. We report here a custom-designed wireless-gait-analysis-sensor (WGAS) to perform functional gait analysis targeted for clin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::812b251aacf0db5573c1fad7cc1a1df0
https://doi.org/10.1109/icmu.2015.7061033
https://doi.org/10.1109/icmu.2015.7061033
Autor:
Donald Y.C. Lie, B.T. Nukala, Naohiro Shibuya, Tam Nguyen, J. Tsay, Steven Zupancic, Amanda Rodriguez
Publikováno v:
ICMU
In this study, we report a custom designed wireless gait analysis sensor (WGAS) system for real-time fall detection using a Support Vector Machine (SVM) classifier. Our WGAS includes a tri-axial accelerometer, 2 gyroscopes and a MSP430 micro-controll
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f05cb7bad95fd328b9b6428f94d1854
https://doi.org/10.1109/icmu.2015.7061032
https://doi.org/10.1109/icmu.2015.7061032
Autor:
B.T. Nukala, Tam Nguyen, Steven Zupancic, J. Tsay, Amanda Rodriguez, Donald Y.C. Lie, Naohiro Shibuya
Publikováno v:
2014 IEEE Healthcare Innovation Conference (HIC).
This paper describes our custom-designed wireless gait analysis sensor (WGAS) system developed and tested for real-time fall detection. The WGAS is capable of differentiating falls vs. Activities of Daily Living (ADL) and the Dynamic Gait Index (DGI)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08fdae937518776963da20965c5cceb1
https://doi.org/10.1109/hic.2014.7038914
https://doi.org/10.1109/hic.2014.7038914
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