Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Eric Muth"'
Autor:
Jimmy Alex, Dusty Turner, Diana M. Thomas, Andrew McDougall, Mirna W. Halawani, Steven B. Heymsfield, Corby K. Martin, Jenna L. Scisco, James Salley, Eric Muth, Adam W. Hoover
Publikováno v:
BMC Nutrition, Vol 4, Iss 1, Pp 1-6 (2018)
Abstract Background Conclusions regarding bite count rates and body mass index (BMI) in free-living populations have primarily relied on self-report. The objective of this exploratory study was to compare the relationship between BMI and bite counts
Externí odkaz:
https://doaj.org/article/356cc1d18edb4bd490abb09850c3f78a
This paper describes a study to test the accuracy of a method that tracks wrist motion during eating to detect and count bites. The purpose was to assess its accuracy across demographic (age, gender, and ethnicity) and bite (utensil, container, hand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::267a9f342884999b5c85402ef90bdd24
Autor:
Gathii Kimita, Josphat Nyataya, Esther Omuseni, Faith Sigei, Alan Lemtudo, Eric Muthanje, Brian Andika, Rehema Liyai, Rachel Githii, Clement Masakwe, Stephen Ochola, George Awinda, Carol Kifude, Beth Mutai, Robert M. Gatata, John Waitumbi
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-13 (2022)
Kimita et al. detail the SARS-CoV-2 lineages present in Kenya during 5 waves of the COVID-19 pandemic between March 2020 and January 2022. Analysis of 1034 genomes identified 40 lineages, with phylogenetic analysis suggesting multiple introductions o
Externí odkaz:
https://doaj.org/article/ee6a42bece624cb9850e095e732a942d
Publikováno v:
Journal of Cognitive Engineering and Decision Making. 1:286-308
The purpose of this study was to identify baseline procedures that are equally sensitive to negative and positive changes in heart rate variability, specifically in the context of moment-to-moment comparisons. Participants were engaged in a dual-task
Publikováno v:
IEEE Transactions on Biomedical Engineering. 54:946-950
Heart rate variability (HRV) is traditionally analyzed while a subject is in a controlled environment, such as at rest in a clinic, where it can be used as a medical indicator. This paper concerns analyzing HRV outside of controlled environments, suc
Publikováno v:
Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 48:1256-1260
The purpose of this study was to examine if an individual's performance could be improved by integrating physiological arousal data with a computer task, specifically a video game, which increased or decreased in difficulty based on the person's phys
Autor:
Adam Hoover, Eric Muth
Publikováno v:
International Journal of Human-Computer Interaction. 17:197-209
A computer system today receives no data regarding the physiological state of the user, but there are many cases where these data could be useful. For example, as the user becomes bored or lethargic, the system could raise the workload or audiovisual
Publikováno v:
SPIE Proceedings.
The Arousal Meter (AM) is a gauge derived from heart-rate variability designed to measure autonomic arousal. The purpose of this study was to determine the extent to which the AM could differentiate state shifts in arousal that occurred in response t
Autor:
John N. Waitumbi, Esther Omuseni, Josphat Nyataya, Clement Masakhwe, Faith Sigei, Allan Lemtudo, George Awinda, Eric Muthanje, Brian Andika, Rachel Githii, Rehema Liyai, Gathii Kimita, Beth Mutai
Publikováno v:
African Journal of Laboratory Medicine, Vol 11, Iss 1, Pp e1-e6 (2022)
Background: The Basic Science Laboratory (BSL) of the Kenya Medical Research Institute/Walter Reed Project in Kisumu, Kenya addressed mass testing challenges posed by the emergent coronavirus disease 2019 (COVID-19) in an environment of global supply
Externí odkaz:
https://doaj.org/article/4a1d3659d5b144ec9c1c687320442b3b
Publikováno v:
SPIE Proceedings.
Measuring heart rate variability is an important component of developing human monitoring systems for soldiers of the next century. Unfortunately, even the best sensors are prone to error in active situations. We have developed a system that detects