Search Results - Chest

Seeberg, T. M. “…IMUs also enabled the estimation of total variation of chest acceleration, which serves as a measure of biomechanical intensity. …”

Rindal, O. M. H., Gløersen, Ø., Kvåle, K., Tjønnås, J., Liverud, A. “…METHODS: We recorded data from IMUs mounted on the arm and chest and a video of classical cross-country skiing. …”

Masaki, T., Naoto, M., Shunya, U., Linnamo, V., Lindinger, S., Stöggl, T. “…A video camera (GoPro Hero 9 Black) was attached to the chest of the participant to focus on skiing movement to detect the technique used during skiing. …”

Seeberg, T. M., Kocbach, J., Talsnes, R. K., Meyer, F., Losnegard, T., Tjønnås, J., Sandbakk, Ø. B., Solli, G. S. “…RESULTS: From Race1 to Race2, INT increased the total variation of chest acceleration on all hilltops (p<.001) and reduced the time spent in a specifically targeted downhill segment (mean group difference: -0.55 s, CI95[-0.9,-0.19 s], p=.003), as well as the overall time spent in downhill (-14.4 [-21.4,-7.4] s, p<.001) and flat terrain (-6.5 [-11.0,-1,9] s; p=.006) compared to CON. …”

Seeberg, T. M., Kocbach, J., Talsnes, R. K., Meyer, F., Losnegard, T., Tjønnås, J., Sandbakk, Ø., Solli, G. S. “…Results: From Race1 to Race2, the intervention group increased the total variation of chest acceleration on all hilltops (P < .001) and reduced time compared with the control group in a specifically targeted downhill segment (mean group difference: -0.55 s; 95% confidence interval [CI], -0.9 to -0.19 s; P = .003), as well as in overall time spent in downhill (-14.4 s; 95% CI, -21.4 to -7.4 s; P < .001) and flat terrain (-6.5 s; 95% CI, -11.0 to -1.9 s; P = .006). …”

M. Khodaee, A. L. Waterbrook, M. Gammons “…Deu, Morteza Khodaee; Pages 693-702 Other Sports-Related Trauma Chest Trauma; Jeffrey P. Feden; Pages 705-713 Abdominal Trauma; Jaron Santelli, Jeremiah W. …”

Choi, Y. C., Kim, J. K. “…There were significant differences (p<0.001) in the chest size and bra-chial muscle but no significant differences (p>0.05) in the antebrachial, femoral, and crural muscles. …”

Hoel Rindal, O. M., Seeberg, T. M., Tjønnås, J., Haugnes, P., Sandbakk, O. “…In this study, we aimed to optimize the accuracy of the automatic classification of classical cross-country skiing sub-techniques by using two IMUs attached to the skier`s arm and chest together with a machine learning algorithm. …”

Stöggl, T., Holst, A., Jonasson, A., Andersson, E., Wunsch, T., Norström, C., Holmberg, H. C. “…Gear classification by the Smartphone (on the chest) and based on video recordings were compared. …”

Rindal, O. M. H., Seeberg, T. M., Tjønnås, J., Haugnes, P., Sandbakk, O. “…In this study, we aimed to optimize the accuracy of the automatic classification of classical cross-country skiing sub-techniques by using two IMUs attached to the skier`s arm and chest together with a machine learning algorithm. …”

Andersson, F., Skoglund, P., Viktorsson, J., Ainegren, M. “…The system has a three-way valve placed on the athletes chest, specially designed for the system and 3D-printed in ABS material (uPRINT SE PLUS, Stratasys, USA) and a timer to measure the sampling sequence. …”

Homewood, T., Hussein-Jamal, R. “…Instead of high-speed cameras, accelerometers in either a smartphone or a sensor node would be used to capture the movement of the skier on three axes, and wired physiological sensors would be replaced by a wireless sensor belt worn by the skier on their chest. This project has been run in conjunction with the Swedish Institute of Computer Science (SICS), who were responsible for developing the software that analyses the skier's technique using accelerometer data. …”

Bougault, V., Turmel, J., Boulet, L. P. “…Chest…”

Lund, M. “…This investigation is a biomechanical study of how the stiffness in pectoralis major (the big chest muscle) affects the muscles in the upper back during the fourth gear in Cross-country skiing free-style technique. …”

Rundell, K. W., Anderson, S. D., Spiering, B. A., Judelson, D. A. “…Chest…”