Academic literature on the topic 'Accelerometry'
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Journal articles on the topic "Accelerometry"
Roth, Marilyn A., and Jennifer S. Mindell. "Who Provides Accelerometry Data? Correlates of Adherence to Wearing an Accelerometry Motion Sensor: The 2008 Health Survey for England." Journal of Physical Activity and Health 10, no. 1 (January 2013): 70–78. http://dx.doi.org/10.1123/jpah.10.1.70.
Full textEvenson, Kelly R., Elissa Scherer, Kennedy M. Peter, Carmen C. Cuthbertson, and Stephanie Eckman. "Historical development of accelerometry measures and methods for physical activity and sedentary behavior research worldwide: A scoping review of observational studies of adults." PLOS ONE 17, no. 11 (November 21, 2022): e0276890. http://dx.doi.org/10.1371/journal.pone.0276890.
Full textBolton, Samantha, Nick Cave, Naomi Cogger, and G. R. Colborne. "Use of a Collar-Mounted Triaxial Accelerometer to Predict Speed and Gait in Dogs." Animals 11, no. 5 (April 27, 2021): 1262. http://dx.doi.org/10.3390/ani11051262.
Full textGewolb, Ira H., and Frank L. Vice. "Use of a non-invasive accelerometric method for diagnosing gastroesophageal reflux in premature infants." Journal of Perinatology 41, no. 8 (March 23, 2021): 1879–85. http://dx.doi.org/10.1038/s41372-021-01034-5.
Full textSjöros, Tanja, Henri Vähä-Ypyä, Saara Laine, Taru Garthwaite, Eliisa Löyttyniemi, Harri Sievänen, Kari K. Kalliokoski, Juhani Knuuti, Tommi Vasankari, and Ilkka H. A. Heinonen. "Influence of the Duration and Timing of Data Collection on Accelerometer-Measured Physical Activity, Sedentary Time and Associated Insulin Resistance." International Journal of Environmental Research and Public Health 18, no. 9 (May 6, 2021): 4950. http://dx.doi.org/10.3390/ijerph18094950.
Full textWainberg, Michael, Samuel E. Jones, Lindsay Melhuish Beaupre, Sean L. Hill, Daniel Felsky, Manuel A. Rivas, Andrew S. P. Lim, Hanna M. Ollila, and Shreejoy J. Tripathy. "Association of accelerometer-derived sleep measures with lifetime psychiatric diagnoses: A cross-sectional study of 89,205 participants from the UK Biobank." PLOS Medicine 18, no. 10 (October 12, 2021): e1003782. http://dx.doi.org/10.1371/journal.pmed.1003782.
Full textKwon, Soyang, Patricia Zavos, Katherine Nickele, Albert Sugianto, and Mark V. Albert. "Hip and Wrist-Worn Accelerometer Data Analysis for Toddler Activities." International Journal of Environmental Research and Public Health 16, no. 14 (July 21, 2019): 2598. http://dx.doi.org/10.3390/ijerph16142598.
Full textOliver, Melody, Hannah Badland, Suzanne Mavoa, Mitch J. Duncan, and Scott Duncan. "Combining GPS, GIS, and Accelerometry: Methodological Issues in the Assessment of Location and Intensity of Travel Behaviors." Journal of Physical Activity and Health 7, no. 1 (January 2010): 102–8. http://dx.doi.org/10.1123/jpah.7.1.102.
Full textNedergaard, Niels J., Mark A. Robinson, Elena Eusterwiemann, Barry Drust, Paulo J. Lisboa, and Jos Vanrenterghem. "The Relationship Between Whole-Body External Loading and Body-Worn Accelerometry During Team-Sport Movements." International Journal of Sports Physiology and Performance 12, no. 1 (January 2017): 18–26. http://dx.doi.org/10.1123/ijspp.2015-0712.
Full textSchrack, Jennifer, and Amal Wanigatunga. "MOVING, THINKING, AND SLEEPING: NOVEL INSIGHTS INTO PHYSICAL AND COGNITIVE HEALTH FROM ACCELEROMETRY DATA." Innovation in Aging 6, Supplement_1 (November 1, 2022): 330. http://dx.doi.org/10.1093/geroni/igac059.1303.
Full textDissertations / Theses on the topic "Accelerometry"
Nilsson, Andreas. "Physical activity assessed by accelerometry in children." Doctoral thesis, Örebro : Örebro University, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-1739.
Full textMachado, Inês Prata. "Human activity data discovery based on accelerometry." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/10992.
Full textStoltz, Victor, and Manne Godhe. "Validity of accelerometry in high-intensity complex movements." Thesis, Gymnastik- och idrottshögskolan, GIH, Institutionen för idrotts- och hälsovetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:gih:diva-3268.
Full textGerrard-Longworth, S. P. "Measuring physical activity in obese populations using accelerometry." Thesis, University of Salford, 2015. http://usir.salford.ac.uk/34502/.
Full textWilhelm, Spencer Christian. "Prediction of Non-Resting Energy Expenditure using Accelerometry." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/91463.
Full textMaster of Science
Accurate measurement of the total amount of energy (i.e. calories) utilized by the body throughout the day, also known as total energy expenditure, is a vital component of metabolic research. However, there is a lack of measurement methods that are valid, objective, inexpensive, and easy to use. Accelerometers combined with equations designed to predict total energy expenditure may be able to fill this gap. Accelerometers are devices worn on the body that measure accelerative forces from physical activity. Twenty weight stable adults (12 female, 8 male), who recently participated in a study in which all dietary intake and exercise were closely monitored (controlled feeding study), comprised the study sample. The amount of energy needed to maintain weight (total energy requirements) was assessed from the controlled feeding period in which weight stability was achieved. Resting energy expenditure, the energy burned while the body is at rest, was assessed using an equation often used to estimate energy expenditure, the Mifflin-St. Jeor equation. Participants wore accelerometers to objectively assess habitual physical activity. The accelerometer data obtained along with subjects’ demographic (age, sex) and biometric (height, weight, BMI, etc.) data were used to predict non-resting energy expenditure (resting energy expenditure subtracted from total energy expenditure). Multiple statistical tests were used to determine the validity of the total energy requirements obtained from the sum of the predicted non-resting energy expenditure (NREE) and resting energy expenditure. Estimated resting energy expenditure was compared with the total energy requirements assessed using the intake-balance method from the controlled feeding period. The resulting prediction equation is as follows: 480.93 – 180.69(sex) + 0.21(Accelerometer kcals) + 617.98(BF%) = NREE. The sex was coded as 1 for females and 0 for males. This prediction model has a coefficient of determination of 0.74 (0.70 adjusted), which means 70% of the variation in non-resting energy expenditure was explained by changes in the variables in the equation. On average, the model overestimates NREE by 76 Calories per day. This new model could be the key to accurately, inexpensively and objectively measuring total energy requirements.
São, Marcos Ana Jorge Romão. "Physical activity measurements in adolescents: accelerometry vs PAI." Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/13732.
Full textBackground: Practicing physical activity (PA) has shown to present health benefits at all ages, namely in paediatrics. There are several methods to evaluate PA, however the most frequently used are the self-report questionnaires and accelerometry. The latter is an objective measuring tool, however it requires the use of relatively expensive devices. Questionnaires are easy and quick to apply, and therefore a useful tool to evaluate PA. Despite the existence of some questionnaires to evaluate PA in adolescents, there is still none validated against accelerometry for the Portuguese population. This validation is important, since questionnaires present an error associated to inaccuracies in recall activity. Aims: To validate the Physical Activity Index (PAI), by comparing it with accelerometry in adolescents according to gender and to explore if adolescents follow the physical activity recommendations established for their age. Methods: In this cross-sectional study, adolescents were recruited from 3 basketball teams, 2 classrooms from a school in Aveiro, and an orchestra band classroom. Socio-demographic, anthropometric data and spirometry were collected from the adolescents who participated in this study. Physical Activity (PA) was assessed with accelerometers (Actigraph model - GT3XPlus, Actigraph MTI, Manufacturing Technology Inc., Pensacola, FL, USA) worn during 7 days and the PAI. Pearson correlation coefficients (rs) were calculated to explore the correlations of moderate-to-vigorous PA (MVPA) (min.day-1) and steps per day vs. the PAI. To analyse participants’ ability to follow the recommendations of PA levels, 60 minutes of MVPA and 10,000 to 11,700 steps per day were considered. Chi-square (χ2) tests were used to explore differences between male and female’s ability to reach international recommendations of physical activity levels. Results: Forty nine adolescents (57.14% female; mean age 14.43 ±0.96 years old) participated in this study. Female and male presented similar PA levels measured with a subjective or an objective measure. Correlations between objective and subjective measures were significant and positive only for male (MVPA: r=.514, p=.017; Steps per day: r=.460, p=.041). Most participants were sedentary when analysing the objective data and considering the PA recommendations. Only 1 female (3.57%) and 3 males (14.29%) surpassed the 60 min.day-1 mark and, in terms of steps per day, only 13 females (46.43%) and 13 males (61.90%) registered over 10000 steps per day. Conclusion: When compared with accelerometry the PAI presented as a valid measuring tool only for male adolescents. Adolescents of both genders presented similar levels of PA with both measuring tools, and accelerometry results showed that the majority of adolescents were sedentary. Thus, it is necessary to investigate further in the future about the correlation between accelerometry and the PAI, as well as about the sedentary habits of adolescents.
Enquadramento: A prática de atividade física (AF) tem vindo a apresentar benefícios para a saúde em todas as idades, nomeadamente na pediatria. Existem vários métodos para avaliar a AF, no entanto os mais utilizados são os questionários e a acelerometria. Esta última é uma medida objetiva que, no entanto, requer o uso de instrumentos relativamente dispendiosos. Já os questionários são instrumentos rápidos e fáceis de aplicar, sendo, assim úteis na avaliação da AF. Apesar de existirem alguns instrumentos para avaliar AF em adolescentes, ainda, não existe nenhum validado contra a acelerometria para a população portuguesa. Esta validação é necessária, uma vez que os questionários, por serem medidas subjetivas apresentam um erro associado a imprecisões na capacidade de relato de atividades passadas. Objetivos: Validar o Índice de Atividade Física (IAF) comparando-o com a acelerometria de acordo com o género e explorar se os adolescentes seguem as recomendações de AF estabelecidas para as suas idades. Métodos: Neste estudo transversal, os adolescentes foram recrutados de 3 equipas de basquetebol, 2 turmas de uma escola de Aveiro e 1 turma de uma banda de música de orquestra. Dados sociodemográficos, antropométricos e de espirometria foram recolhidos aos participantes. AF foi medida com acelerómetros (Actigraph modelo - GT3XPlus, Actigraph MTI, Manufacturing Technology Inc., Pensacola, FL, USA), usados durante 7 dias e com o IAF. O coeficiente de correlação de Pearson (rs) foi calculado para explorar as correlações entre os minutos de AF moderada a vigorosa (AFMV) (min.dia-1) e os passos por dia vs. o IAF. Para analisar a capacidade dos participantes seguirem as recomendações dos níveis de AF, foram considerados 60 minutos.dia-1 de AFMV e os 10,000 a 11,700 passos por dia. Testes Quiquadrado (χ2) foram usados para explorar diferenças na capacidade de atingir os níveis de AF estabelecidos em orientações internacionais entre rapazes e raparigas. Resultados: Quarenta e nove adolescentes (57.14% raparigas; idade média 14.43 ±0.96 anos) participaram no estudo. Raparigas e rapazes apresentaram níveis de AF semelhantes, medidos com medidas subjetivas ou objetivas. As correlações entre as medidas subjetiva e objetiva foram significativas e positivas apenas para os rapazes (AFMV: r=.514, p=.017; Passos por dia: r=.460, p=.041). A maioria dos adolescentes mostraram-se sedentários na análise dos dados objetivos e das recomendações de AF. Apenas 1 rapariga (3.57%) e 3 rapazes (14.29%) ultrapassaram a marca dos 60 minutos.dia-1 de AFMV e em relação aos passos por dia, apenas 13 raparigas (46.43%) e 13 rapazes (61.90%) registaram valores acima dos 10,000 passos por dia. Conclusão: O IAF mostrou-se uma ferramenta válida na medição de AF em comparação com a acelerometria, apenas para os rapazes. Adolescentes de ambos os sexos apresentaram níveis de AF semelhantes, em ambos os instrumentos de medida, tendo-se a maioria revelado como sedentários através da análise dos resultados obtidos pela acelerometria Desta forma, é necessário investigar-se mais, no futuro, sobre a correlação entre a acelerometria e o IAF, bem como sobre os hábitos sedentários dos adolescentes.
van, Hees Vincent Theodoor. "Implementation of raw accelerometry in physical activity epidemiology." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610767.
Full textSato, Kimitake, William A. Sands, and Michael H. Stone. "The Reliability of Accelerometry to Measure Weightlifting Performance." Digital Commons @ East Tennessee State University, 2012. https://dc.etsu.edu/etsu-works/4616.
Full textSiebert, Christopher Michael. "Heart Rate and Accelerometry during Footbag Net Singles Play." Portland State University, 2013.
Find full textKotru, Krish. "Timekeeping and accelerometry with robust light pulse atom interferometers." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98681.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 165-173).
Light pulse atom interferometry (LPAI) is a powerful technique for precision measurements of inertial forces and time. Laboratory LPAI systems currently achieve state-ofthe- art acceleration sensitivity and establish the international atomic time standard. However, the realization of practical LPAI in dynamic environments (e.g., rapidly accelerating or rotating platforms) has been limited in part by atom optics-the analogues to optical beamsplitters and mirrors. Atom optics in traditional LPAIs are composed of resonant laser pulses that are susceptible to variations in optical detuning and intensity expected in sensors designed for dynamic environments. This thesis investigates atom optics that use frequency- and intensity-modulated laser pulses to suppress sensitivity to these inhomogeneities. For atomic timekeeping applications, a Ramsey LPAI sequence based on stimulated Raman transitions and frequency-swept adiabatic rapid passage (ARP) was developed. Raman ARP drives coherent transfer in an effective two-level atomic system by sweeping the Raman detuning through the two-photon resonance. In experiments with ¹³³Cs atoms, Raman ARP reduced the sensitivity of Ramsey sequences to differential AC Stark shifts by about two orders of magnitude, relative to standard Raman transitions. Raman ARP also preserved fringe contrast despite substantial intensity inhomogeneity. The fractional frequency uncertainty of the ARP Ramsey sequence was limited by second-order Zeeman shifts to ~3.5 x 10-¹² after about 2500 s of averaging. For accelerometry applications, Raman ARP provided efficient, large momentum transfer (LMT) atom optics in an acceleration-sensitive LPAI. These atom optics produced momentum splittings of up to 30 photon recoil momenta between interfering wavepackets-the largest to date for Raman atom optics. This splitting, in principle, enables up to a factor-of-15 improvement in sensitivity over the nominal interferometer. By forgoing cooling methods that reduce atom number, this LMT method reduces the measurement uncertainty due to atom shot-noise and enables large area atom interferometry at higher data-rates. These features could prove useful for fielded inertial sensors based on atom interferometry.
by Krish Kotru.
Ph. D.
Books on the topic "Accelerometry"
Shephard, Roy J., and Catrine Tudor-Locke, eds. The Objective Monitoring of Physical Activity: Contributions of Accelerometry to Epidemiology, Exercise Science and Rehabilitation. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29577-0.
Full textDauderstädt, Ulrike Anna. A thermal accelerometer. Delft: Delft University Press, 1999.
Find full textOlcott, Joanne E. Fiber-optic flexural disk accelerometer. Monterey, Calif: Naval Postgraduate School, 1991.
Find full textLevinzon, Felix. Piezoelectric Accelerometers with Integral Electronics. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08078-9.
Full textVarum, Humberto, and Sérgio de Brito André. Accelerometers: Principles, structure and applications. Hauppauge, New York: Nova Science Publishers, Inc., 2011.
Find full textB, Rogers Melissa J., and United States. National Aeronautics and Space Administration., eds. Accelerometer data analysis and presentation techniques. [Washington, D.C: National Aeronautics and Space Administration, 1997.
Find full textA, Rogers John, and Geological Survey (U.S.), eds. Relative performance of several inexpensive accelerometers. [Reston, Va.]: U.S. Dept. of the Interior, U.S. Geological Survey, 1995.
Find full textC, Blanchard Robert, Larman K. T, and Langley Research Center, eds. Improved HIRAP flight calibration technique. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.
Find full textXu, Yong Ping. MEMS Silicon Oscillating Accelerometers and Readout Circuits. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338826.
Full textJohn, Lekki, and NASA Glenn Research Center, eds. A self-diagnostic system for the M6 accelerometer. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2001.
Find full textBook chapters on the topic "Accelerometry"
Abrams, David B., J. Rick Turner, Linda C. Baumann, Alyssa Karel, Susan E. Collins, Katie Witkiewitz, Terry Fulmer, et al. "Accelerometry." In Encyclopedia of Behavioral Medicine, 12. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_100008.
Full textSchwintzer, Peter, Z. Kang, and F. Perosanz. "Accelerometry Aboard CHAMP." In International Association of Geodesy Symposia, 197–200. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59745-9_39.
Full textConnes, Pierre. "Absolute Astronomical Accelerometry." In Seismology of the Sun and the Distant Stars, 403–4. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4608-8_43.
Full textConnes, Pierre. "Development of Absolute Accelerometry." In Planetary Systems: Formation, Evolution, and Detection, 357–67. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1154-6_37.
Full textInnerd, Paul. "The technology of accelerometry." In Physical Activity Assessment, 141–57. New York : Routledge, 2020.: Routledge, 2019. http://dx.doi.org/10.4324/9781315163260-8.
Full textSanso, Fernando, A. Albertella, G. Bianco, A. Della Torre, M. Fermi, V. Iafolla, A. Lenti, F. Migliaccio, A. Milani, and A. Rossi. "SAGE: An Italian Project of Satellite Accelerometry." In International Association of Geodesy Symposia, 193–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59745-9_38.
Full textVeltink, P. H., and H. B. K. Boom. "3D Movement Analysis Using Accelerometry — Theoretical Concepts." In Neuroprosthetics: from Basic Research to Clinical Applications, 317–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80211-9_39.
Full textAmor, J. D., and C. J. James. "Personalized Ambient Monitoring: Accelerometry for Activity Level Classification." In IFMBE Proceedings, 866–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89208-3_207.
Full textAminian, Kamiar, Eduardo De Andres, Karen Rezakhanlou, Carlo Fritsch, Y. Schutz, Michèle Depairon, Pierre-François Leyvraz, and Philippe Robert. "Motion Analysis in Clinical Practice Using Ambulatory Accelerometry." In Modelling and Motion Capture Techniques for Virtual Environments, 1–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49384-0_1.
Full textMartinikorena, Ion, Alicia Martínez-Ramírez, Pablo Lecumberri, Nora Millor, Marisol Gómez, and Mikel Izquierdo. "Frailty Assessment Based on Trunk Accelerometry during Walking." In Biosystems & Biorobotics, 537–42. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08072-7_79.
Full textConference papers on the topic "Accelerometry"
Agrawal, Aman R., Mitul Dey Chowdhury, Christian M. Pluchar, and Dalziel Wilson. "Membrane-based optomechanical accelerometry." In CLEO: Applications and Technology. Washington, D.C.: OSA, 2021. http://dx.doi.org/10.1364/cleo_at.2021.jtu2i.3.
Full textZhu, Ruoxi, Zifan Zhou, Jason Bonacum, and Selim Shahriar. "Slow Light Enhanced Accelerometry." In Frontiers in Optics. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/fio.2022.jtu4b.8.
Full textZahnd, Etienne, Faezeh Movahedi, James L. Coyle, Ervin Sejdić, and Prahlad G. Menon. "Correlating Tri-Accelerometer Swallowing Vibrations and Hyoid Bone Movement in Patients With Dysphagia." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66133.
Full textGarnotel, M., C. Simon, and S. Bonnet. "Physical activity estimation from accelerometry." In 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2019. http://dx.doi.org/10.1109/embc.2019.8856957.
Full textXu, Min, Albert Goldfain, Atanu Roy Chowdhury, and Jim DelloStritto. "Towards accelerometry based static posture identification." In 2011 IEEE Consumer Communications and Networking Conference (CCNC). IEEE, 2011. http://dx.doi.org/10.1109/ccnc.2011.5766477.
Full text"MECHANOMYOGRAPHIC SENSOR - A Triaxial Accelerometry Approach." In International Conference on Biomedical Electronics and Devices. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001054601760179.
Full textVasilyev, Vladimir, Vasilii Borisov, and Alexey Syskov. "Accelerometry for Human Activity Recognition: an Overview." In 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB). IEEE, 2021. http://dx.doi.org/10.1109/csgb53040.2021.9496042.
Full textKusmakar, Shitanshu, Chandan K. Karmakar, Bernard Yan, Terence J. O'Brien, Ramanathan Muthuganapathy, and Marimuthu Palaniswami. "Onset Detection of Epileptic Seizures From Accelerometry Signal." In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018. http://dx.doi.org/10.1109/embc.2018.8513669.
Full textPandia, Keya, Sourabh Ravindran, Gregory T. A. Kovacs, Laurent Giovangrandi, and Randy Cole. "Chest-accelerometry for hemodynamic trending during valsalva-recovery." In 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010). IEEE, 2010. http://dx.doi.org/10.1109/isabel.2010.5702877.
Full textRussell, James, Dana Zive, and Mohamud Daya. "Effect of Chest Compression Leaning on Accelerometry Waveforms." In 2016 Computing in Cardiology Conference. Computing in Cardiology, 2016. http://dx.doi.org/10.22489/cinc.2016.295-322.
Full textReports on the topic "Accelerometry"
Siebert, Christopher. Heart Rate and Accelerometry during Singles Footbag Net Play. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.650.
Full textButler, Michelle A., Brandon K. Doan, Michael Hanna, Gina A. Adam, Al Wile, Brian Self, Kristin J. Heaton, Teresa Brininger, and Elizabeth Kryskow. An Investigation of Head Accelerometry, Cognitive Function, and Brain Blood Flow During Intercollegiate Boxing and its Impact Regarding Head Injury Assessment In Combat. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada564443.
Full textHamlin, Alexandra, Erik Kobylarz, James Lever, Susan Taylor, and Laura Ray. Assessing the feasibility of detecting epileptic seizures using non-cerebral sensor. Engineer Research and Development Center (U.S.), December 2021. http://dx.doi.org/10.21079/11681/42562.
Full textWarne, Larry Kevin, Carrie Frances Schmidt, Kenneth Allen Peterson, Stanley H. Kravitz, Rosemarie A. Renn, Frank J. Peter, Ragon D. Kinney, and Jeffrey C. Gilkey. Levitated micro-accelerometer. Office of Scientific and Technical Information (OSTI), June 2004. http://dx.doi.org/10.2172/919151.
Full textKoehler, D. R., S. H. Kravitz, and P. T. Vianco. Ultraminiature resonator accelerometer. Office of Scientific and Technical Information (OSTI), April 1996. http://dx.doi.org/10.2172/231652.
Full textPorterfield, Malcolm Kenneth. Accelerometer Drift Study. Office of Scientific and Technical Information (OSTI), February 2020. http://dx.doi.org/10.2172/1601376.
Full textBalls, J. D. Neurological Diagnostic Accelerometer. Office of Scientific and Technical Information (OSTI), May 2000. http://dx.doi.org/10.2172/755833.
Full textAmmerman, D. J., M. M. Madsen, W. L. Uncapher, D. R. Stenberg, and D. R. Bronowski. Accelerometer and strain gage evaluation. Office of Scientific and Technical Information (OSTI), June 1991. http://dx.doi.org/10.2172/5213009.
Full textMATERIALS SYSTEMS INC LITTLETON MA. 1-3 Composite Accelerometer Array. Fort Belvoir, VA: Defense Technical Information Center, September 1994. http://dx.doi.org/10.21236/ada299622.
Full textSoh, Daniel, Jongmin Lee, and Peter Schwindt. Modeling of Atom Interferometer Accelerometer. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1670252.
Full text