Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 9 of 9 entries
Sorted by: Best Match Show Resources per page
Laparoscopic surgery skills evaluation: analysis based on accelerometers.

JSLS : Journal of the Society of Laparoendoscopic Surgeons

Sánchez A, Rodríguez O, Sánchez R, Benítez G, Pena R, Salamo O, Baez V.
PMID: 25489218
JSLS. 2014 Oct-Dec;18(4). doi: 10.4293/JSLS.2014.00234.

BACKGROUND AND OBJECTIVE: Technical skills assessment is considered an important part of surgical training. Subjective assessment is not appropriate for training feedback, and there is now increased demand for objective assessment of surgical performance. Economy of movement has been...

Cite
Sánchez A, Rodríguez O, Sánchez R, et al. Laparoscopic surgery skills evaluation: analysis based on accelerometers. JSLS. 2014;18(4)doi: 10.4293/JSLS.2014.00234.
Sánchez, A., Rodríguez, O., Sánchez, R., Benítez, G., Pena, R., Salamo, O., & Baez, V. (2014). Laparoscopic surgery skills evaluation: analysis based on accelerometers. JSLS : Journal of the Society of Laparoendoscopic Surgeons, 18(4), . https://doi.org/10.4293/JSLS.2014.00234
Sánchez, Alexis, et al. "Laparoscopic surgery skills evaluation: analysis based on accelerometers." JSLS : Journal of the Society of Laparoendoscopic Surgeons vol. 18,4 (2014). doi: https://doi.org/10.4293/JSLS.2014.00234
Sánchez A, Rodríguez O, Sánchez R, Benítez G, Pena R, Salamo O, Baez V. Laparoscopic surgery skills evaluation: analysis based on accelerometers. JSLS. 2014 Oct-Dec;18(4). doi: 10.4293/JSLS.2014.00234. PMID: 25489218; PMCID: PMC4254482.
Copy Download .nbib Format: NLM
Emerging collaborative research platforms for the next generation of physical activity, sleep and exercise medicine guidelines: the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS).

British journal of sports medicine

Stamatakis E, Koster A, Hamer M, Rangul V, Lee IM, Bauman AE, Atkin AJ, Aadahl M, Matthews CE, Mork PJ, Askie L, Cistulli P, Granat M, Palm P, Crowley PJ, Stevens M, Gupta N, Pulakka A, Stenholm S, Arvidsson D, Mishra G, Wennberg P, Chastin S, Ekelund U, Holtermann A.
PMID: 31076396
Br J Sports Med. 2020 Apr;54(8):435-437. doi: 10.1136/bjsports-2019-100786. Epub 2019 May 10.

No abstract available.

Cite
Stamatakis E, Koster A, Hamer M, et al. Emerging collaborative research platforms for the next generation of physical activity, sleep and exercise medicine guidelines: the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS). Br J Sports Med. 2019;54(8):435-437doi: 10.1136/bjsports-2019-100786.
Stamatakis, E., Koster, A., Hamer, M., Rangul, V., Lee, I. M., Bauman, A. E., Atkin, A. J., Aadahl, M., Matthews, C. E., Mork, P. J., Askie, L., Cistulli, P., Granat, M., Palm, P., Crowley, P. J., Stevens, M., Gupta, N., Pulakka, A., Stenholm, S., Arvidsson, D., Mishra, G., Wennberg, P., Chastin, S., Ekelund, U., & Holtermann, A. (2020). Emerging collaborative research platforms for the next generation of physical activity, sleep and exercise medicine guidelines: the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS). British journal of sports medicine, 54(8), 435-437. https://doi.org/10.1136/bjsports-2019-100786
Stamatakis, Emmanuel, et al. "Emerging collaborative research platforms for the next generation of physical activity, sleep and exercise medicine guidelines: the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS)." British journal of sports medicine vol. 54,8 (2020): 435-437. doi: https://doi.org/10.1136/bjsports-2019-100786
Stamatakis E, Koster A, Hamer M, Rangul V, Lee IM, Bauman AE, Atkin AJ, Aadahl M, Matthews CE, Mork PJ, Askie L, Cistulli P, Granat M, Palm P, Crowley PJ, Stevens M, Gupta N, Pulakka A, Stenholm S, Arvidsson D, Mishra G, Wennberg P, Chastin S, Ekelund U, Holtermann A. Emerging collaborative research platforms for the next generation of physical activity, sleep and exercise medicine guidelines: the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS). Br J Sports Med. 2020 Apr;54(8):435-437. doi: 10.1136/bjsports-2019-100786. Epub 2019 May 10. PMID: 31076396; PMCID: PMC7146929.
Copy Download .nbib Format: NLM
Training intensity quantification of core stability exercises based on a smartphone accelerometer.

PloS one

Barbado D, Irles-Vidal B, Prat-Luri A, García-Vaquero MP, Vera-Garcia FJ.
PMID: 30517171
PLoS One. 2018 Dec 05;13(12):e0208262. doi: 10.1371/journal.pone.0208262. eCollection 2018.

Although core stability (CS) training is largely used to enhance motor performance and prevent musculoskeletal injuries, the lack of methods to quantify CS training intensity hinders the design of CS programs and the comparison and generalization of their effects....

Cite
Barbado D, Irles-Vidal B, Prat-Luri A, et al. Training intensity quantification of core stability exercises based on a smartphone accelerometer. PLoS One. 2018;13(12):e0208262doi: 10.1371/journal.pone.0208262.
Barbado, D., Irles-Vidal, B., Prat-Luri, A., García-Vaquero, M. P., & Vera-Garcia, F. J. (2018). Training intensity quantification of core stability exercises based on a smartphone accelerometer. PloS one, 13(12), e0208262. https://doi.org/10.1371/journal.pone.0208262
Barbado, David, et al. "Training intensity quantification of core stability exercises based on a smartphone accelerometer." PloS one vol. 13,12 (2018): e0208262. doi: https://doi.org/10.1371/journal.pone.0208262
Barbado D, Irles-Vidal B, Prat-Luri A, García-Vaquero MP, Vera-Garcia FJ. Training intensity quantification of core stability exercises based on a smartphone accelerometer. PLoS One. 2018 Dec 05;13(12):e0208262. doi: 10.1371/journal.pone.0208262. eCollection 2018. PMID: 30517171; PMCID: PMC6281233.
Copy Download .nbib Format: NLM
Physical activity characterization: does one site fit all?.

Physiological measurement

Clark CCT, Nobre GC, Fernandes JFT, Moran J, Drury B, Mannini A, Gronek P, Podstawski R.
PMID: 30113317
Physiol Meas. 2018 Sep 24;39(9):09TR02. doi: 10.1088/1361-6579/aadad0.

BACKGROUND: It is evident that a growing number of studies advocate a wrist-worn accelerometer for the assessment of patterns of physical activity a priori, yet the veracity of this site rather than any other body-mounted location for its accuracy...

Cite
Clark CCT, Nobre GC, Fernandes JFT, et al. Physical activity characterization: does one site fit all?. Physiol Meas. 2018;39(9):09TR02doi: 10.1088/1361-6579/aadad0.
Clark, C. C. T., Nobre, G. C., Fernandes, J. F. T., Moran, J., Drury, B., Mannini, A., Gronek, P., & Podstawski, R. (2018). Physical activity characterization: does one site fit all?. Physiological measurement, 39(9), 09TR02. https://doi.org/10.1088/1361-6579/aadad0
Clark, Cain C T, et al. "Physical activity characterization: does one site fit all?." Physiological measurement vol. 39,9 (2018): 09TR02. doi: https://doi.org/10.1088/1361-6579/aadad0
Clark CCT, Nobre GC, Fernandes JFT, Moran J, Drury B, Mannini A, Gronek P, Podstawski R. Physical activity characterization: does one site fit all?. Physiol Meas. 2018 Sep 24;39(9):09TR02. doi: 10.1088/1361-6579/aadad0. PMID: 30113317.
Copy Download .nbib Format: NLM
Accelerometer-derived physical activity and sedentary time by cancer type in the United States.

PloS one

Thraen-Borowski KM, Gennuso KP, Cadmus-Bertram L.
PMID: 28806753
PLoS One. 2017 Aug 14;12(8):e0182554. doi: 10.1371/journal.pone.0182554. eCollection 2017.

The 2003-2004 and 2005-2006 cycles of the National Health and Nutrition Examination Survey (NHANES) were among the first population-level studies to incorporate objectively measured physical activity and sedentary behavior, allowing for greater understanding of these behaviors. However, there has...

Cite
Thraen-Borowski KM, Gennuso KP, Cadmus-Bertram L. Accelerometer-derived physical activity and sedentary time by cancer type in the United States. PLoS One. 2017;12(8):e0182554doi: 10.1371/journal.pone.0182554.
Thraen-Borowski, K. M., Gennuso, K. P., & Cadmus-Bertram, L. (2017). Accelerometer-derived physical activity and sedentary time by cancer type in the United States. PloS one, 12(8), e0182554. https://doi.org/10.1371/journal.pone.0182554
Thraen-Borowski, Keith M, et al. "Accelerometer-derived physical activity and sedentary time by cancer type in the United States." PloS one vol. 12,8 (2017): e0182554. doi: https://doi.org/10.1371/journal.pone.0182554
Thraen-Borowski KM, Gennuso KP, Cadmus-Bertram L. Accelerometer-derived physical activity and sedentary time by cancer type in the United States. PLoS One. 2017 Aug 14;12(8):e0182554. doi: 10.1371/journal.pone.0182554. eCollection 2017. PMID: 28806753; PMCID: PMC5555687.
Copy Download .nbib Format: NLM
Bandwidth optimization design of a multi degree of freedom MEMS gyroscope.

Sensors (Basel, Switzerland)

Si C, Han G, Ning J, Yang F.
PMID: 23948872
Sensors (Basel). 2013 Aug 14;13(8):10550-60. doi: 10.3390/s130810550.

A new robust multi-degree of freedom (multi-DOF) MEMS gyroscope is presented in this paper. The designed gyroscope has its bandwidth and amplification factor of the sense mode adjusted more easily than the previous reported multi-DOF MEMS gyroscopes. Besides, a...

Cite
Si C, Han G, Ning J, et al. Bandwidth optimization design of a multi degree of freedom MEMS gyroscope. Sensors (Basel). 2013;13(8):10550-60doi: 10.3390/s130810550.
Si, C., Han, G., Ning, J., & Yang, F. (2013). Bandwidth optimization design of a multi degree of freedom MEMS gyroscope. Sensors (Basel, Switzerland), 13(8), 10550-60. https://doi.org/10.3390/s130810550
Si, Chaowei, et al. "Bandwidth optimization design of a multi degree of freedom MEMS gyroscope." Sensors (Basel, Switzerland) vol. 13,8 (2013): 10550-60. doi: https://doi.org/10.3390/s130810550
Si C, Han G, Ning J, Yang F. Bandwidth optimization design of a multi degree of freedom MEMS gyroscope. Sensors (Basel). 2013 Aug 14;13(8):10550-60. doi: 10.3390/s130810550. PMID: 23948872; PMCID: PMC3812617.
Copy Download .nbib Format: NLM
Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study.

JMIR mHealth and uHealth

Davoudi A, Wanigatunga AA, Kheirkhahan M, Corbett DB, Mendoza T, Battula M, Ranka S, Fillingim RB, Manini TM, Rashidi P.
PMID: 30724739
JMIR Mhealth Uhealth. 2019 Feb 06;7(2):e11270. doi: 10.2196/11270.

BACKGROUND: Wearable accelerometers have greatly improved measurement of physical activity, and the increasing popularity of smartwatches with inherent acceleration data collection suggest their potential use in the physical activity research domain; however, their use needs to be validated.OBJECTIVE: This...

Cite
Davoudi A, Wanigatunga AA, Kheirkhahan M, et al. Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study. JMIR Mhealth Uhealth. 2019;7(2):e11270doi: 10.2196/11270.
Davoudi, A., Wanigatunga, A. A., Kheirkhahan, M., Corbett, D. B., Mendoza, T., Battula, M., Ranka, S., Fillingim, R. B., Manini, T. M., & Rashidi, P. (2019). Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study. JMIR mHealth and uHealth, 7(2), e11270. https://doi.org/10.2196/11270
Davoudi, Anis, et al. "Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study." JMIR mHealth and uHealth vol. 7,2 (2019): e11270. doi: https://doi.org/10.2196/11270
Davoudi A, Wanigatunga AA, Kheirkhahan M, Corbett DB, Mendoza T, Battula M, Ranka S, Fillingim RB, Manini TM, Rashidi P. Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study. JMIR Mhealth Uhealth. 2019 Feb 06;7(2):e11270. doi: 10.2196/11270. PMID: 30724739; PMCID: PMC6386649.
Copy Download .nbib Format: NLM
Static and dynamic validation of inertial measurement units.

Gait & posture

Taylor L, Miller E, Kaufman KR.
PMID: 28578138
Gait Posture. 2017 Sep;57:80-84. doi: 10.1016/j.gaitpost.2017.05.026. Epub 2017 May 26.

Optical motion capture systems are used to assess human motion. While these systems provide a reliable analysis, they limit collection to a laboratory based setting. Devices such as Inertial Measurement Units (IMUs) have been developed as alternative tools. Commercially...

Cite
Taylor L, Miller E, Kaufman KR. Static and dynamic validation of inertial measurement units. Gait Posture. 2017;57:80-84doi: 10.1016/j.gaitpost.2017.05.026.
Taylor, L., Miller, E., & Kaufman, K. R. (2017). Static and dynamic validation of inertial measurement units. Gait & posture, 5780-84. https://doi.org/10.1016/j.gaitpost.2017.05.026
Taylor, Leah, et al. "Static and dynamic validation of inertial measurement units." Gait & posture vol. 57 (2017): 80-84. doi: https://doi.org/10.1016/j.gaitpost.2017.05.026
Taylor L, Miller E, Kaufman KR. Static and dynamic validation of inertial measurement units. Gait Posture. 2017 Sep;57:80-84. doi: 10.1016/j.gaitpost.2017.05.026. Epub 2017 May 26. PMID: 28578138.
Copy Download .nbib Format: NLM
Accelerometry-Simple, but challenging.

Scandinavian journal of medicine & science in sports

Sievänen H, Kujala UM.
PMID: 28466474
Scand J Med Sci Sports. 2017 Jun;27(6):574-578. doi: 10.1111/sms.12887.

No abstract available.

Cite
Sievänen H, Kujala UM. Accelerometry-Simple, but challenging. Scand J Med Sci Sports. 2017;27(6):574-578doi: 10.1111/sms.12887.
Sievänen, H., & Kujala, U. M. (2017). Accelerometry-Simple, but challenging. Scandinavian journal of medicine & science in sports, 27(6), 574-578. https://doi.org/10.1111/sms.12887
Sievänen, H, and Kujala, U M. "Accelerometry-Simple, but challenging." Scandinavian journal of medicine & science in sports vol. 27,6 (2017): 574-578. doi: https://doi.org/10.1111/sms.12887
Sievänen H, Kujala UM. Accelerometry-Simple, but challenging. Scand J Med Sci Sports. 2017 Jun;27(6):574-578. doi: 10.1111/sms.12887. PMID: 28466474.
Copy Download .nbib Format: NLM
Showing 1 to 9 of 9 entries