Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Samuel R LaMunion"'
Publikováno v:
PLoS ONE, Vol 15, Iss 11, p e0240604 (2020)
IntroductionA key component to analyzing wearable sensor data is identifying periods of non-wear. Traditionally, strings of consecutive zero counts (e.g. >60-minutes) are identified indicating periods of non-movement. The non-movement window length i
Externí odkaz:
https://doaj.org/article/9e86defacbcf45b8b2e2481e88b871e5
Publikováno v:
PLoS ONE, Vol 14, Iss 12, p e0226290 (2019)
PURPOSE:The purpose of this study was to assess the accuracy of the Cosmed K5 portable metabolic system dynamic mixing chamber (MC) and breath-by-breath (BxB) modes against the criterion Douglas bag (DB) method. METHODS:Fifteen participants (mean age
Externí odkaz:
https://doaj.org/article/8d0e28b23ce84daabd72730c0ed69e72
Autor:
Brian Walitt, Komudi Singh, Samuel R. LaMunion, Mark Hallett, Steve Jacobson, Kong Chen, Yoshimi Enose-Akahata, Richard Apps, Jennifer J. Barb, Patrick Bedard, Robert J. Brychta, Ashura Williams Buckley, Peter D. Burbelo, Brice Calco, Brianna Cathay, Li Chen, Snigdha Chigurupati, Jinguo Chen, Foo Cheung, Lisa M. K. Chin, Benjamin W. Coleman, Amber B. Courville, Madeleine S. Deming, Bart Drinkard, Li Rebekah Feng, Luigi Ferrucci, Scott A. Gabel, Angelique Gavin, David S. Goldstein, Shahin Hassanzadeh, Sean C. Horan, Silvina G. Horovitz, Kory R. Johnson, Anita Jones Govan, Kristine M. Knutson, Joy D. Kreskow, Mark Levin, Jonathan J. Lyons, Nicholas Madian, Nasir Malik, Andrew L. Mammen, John A. McCulloch, Patrick M. McGurrin, Joshua D. Milner, Ruin Moaddel, Geoffrey A. Mueller, Amrita Mukherjee, Sandra Muñoz-Braceras, Gina Norato, Katherine Pak, Iago Pinal-Fernandez, Traian Popa, Lauren B. Reoma, Michael N. Sack, Farinaz Safavi, Leorey N. Saligan, Brian A. Sellers, Stephen Sinclair, Bryan Smith, Joseph Snow, Stacey Solin, Barbara J. Stussman, Giorgio Trinchieri, Sara A. Turner, C. Stephenie Vetter, Felipe Vial, Carlotta Vizioli, Ashley Williams, Shanna B. Yang, Center for Human Immunology, Autoimmunity, and Inflammation (CHI) Consortium, Avindra Nath
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-29 (2024)
Abstract Post-infectious myalgic encephalomyelitis/chronic fatigue syndrome (PI-ME/CFS) is a disabling disorder, yet the clinical phenotype is poorly defined, the pathophysiology is unknown, and no disease-modifying treatments are available. We used
Externí odkaz:
https://doaj.org/article/a14b918b7de649e6975c4ac14fdd7aa8
Publikováno v:
Sensors, Vol 24, Iss 10, p 3046 (2024)
Metabolic syndrome poses a significant health challenge worldwide, prompting the need for comprehensive strategies integrating physical activity monitoring and energy expenditure. Wearable sensor devices have been used both for energy intake and ener
Externí odkaz:
https://doaj.org/article/3d56c61b4a744737b02771ac35c23506
Publikováno v:
Annals of Epidemiology. 43:1-10
Public health surveillance is a vital component in the assessment of health-related behaviors such as physical activity (PA). With multiple active national health surveys in the United States, questions arise about how data are collected, what each d
Publikováno v:
Med Sci Sports Exerc
Youth metabolic equivalents (MET(y)) are sometimes operationally defined as multiples of predicted basal metabolic rate (MET(yBMR)), and other times as multiples of measured resting metabolic rate (MET(yRMR)). PURPOSE: To examine the comparability of
Autor:
Samuel R. LaMunion, Scott E. Crouter, Brandon J. Clendenin, Paul R. Hibbing, Andrew S. Kaplan, Andrew L. Blythe
Publikováno v:
Appl Physiol Nutr Metab
The purpose of this study was to compare energy expenditure (EE) estimates from 5 consumer physical activity monitors (PAMs) to indirect calorimetry in a sample of youth. Eighty-nine youth (mean (SD); age, 12.3 (3.4) years; 50% female) performed 16 s
Publikováno v:
J Meas Phys Behav
Background: Bout detection algorithms are used to segment data from wearable sensors, but it is challenging to assess segmentation correctness. The purpose of this study was to present and demonstrate the Transition Pairing Method (TPM), a new method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54ff6053dcfae1138c244bce8764cbed
https://europepmc.org/articles/PMC8274497/
https://europepmc.org/articles/PMC8274497/
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 11, p e0240604 (2020)
PLoS ONE, Vol 15, Iss 11, p e0240604 (2020)
IntroductionA key component to analyzing wearable sensor data is identifying periods of non-wear. Traditionally, strings of consecutive zero counts (e.g. >60-minutes) are identified indicating periods of non-movement. The non-movement window length i
Autor:
Yifei Ding, Andrew S. Kaplan, Eamonn Keogh, Wei Ding, Shaghayegh Gharghabi, Paul R. Hibbing, Scott E. Crouter, Samuel R. LaMunion, Chin-Chia Michael Yeh
Publikováno v:
Data Mining and Knowledge Discovery
Unsupervised semantic segmentation in the time series domain is a much studied problem due to its potential to detect unexpected regularities and regimes in poorly understood data. However, the current techniques have several shortcomings, which have