The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Sensitivity of Smoothness Measures to Movement Duration, Amplitude, and Arrests
Open accessAbstract
Studies of sensory-motor performance, including those concerned with changes because of age, disease, or therapeutic intervention, often use measures based on jerk, the time derivative of acceleration, to quantify smoothness and coordination. However, results have been mixed: some researchers report sensitive discrimination of subtle differences, whereas others fail to find significant differences even when they are obviously present. One reason for this is that different measures have been used with different scaling factors. These measures are sensitive to movement amplitude or duration to different degrees. The authors show that jerk-based measures with dimensions vary counterintuitively with movement smoothness, whereas a dimensionless jerk-based measure properly quantifies common deviations from smooth, coordinated movement.
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Cites
The coordination of arm movements: an experimentally confirmed mathematical model
Flash, T., & Hogan, N. (1985) · The Journal of Neuroscience · doi:10.1523/jneurosci.05-07-01688.1985 · Cited by 4,395
Self-citationMovement Smoothness Changes during Stroke Recovery
Rohrer, B., Fasoli, S., Krebs, H. I., Hughes, R., Volpe, B., Frontera, W. R., Stein, J., & Hogan, N. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-18-08297.2002 · Cited by 767
Self-citationParkinsonism Reduces Coordination of Fingers, Wrist, and Arm in Fine Motor Control
Teulings, H.-L., Contreras-Vidal, J. L., Stelmach, G. E., & Adler, C. H. (1997) · Experimental Neurology · doi:10.1006/exnr.1997.6507 · Cited by 401
Motor disorder in Huntington's disease begins as a dysfunction in error feedback control
Smith, M. A., Brandt, J., & Shadmehr, R. (2000) · Nature · doi:10.1038/35000576 · Cited by 354
Ketcham, C. J., Seidler, R. D., Van Gemmert, A. W. A., & Stelmach, G. E. (2002) · The Journals of Gerontology Series B: Psychological Sciences and Social Sciences · doi:10.1093/geronb/57.1.p54 · Cited by 273
Quantization of continuous arm movements in humans with brain injury
Krebs, H. I., Aisen, M. L., Volpe, B. T., & Hogan, N. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.8.4645 · Cited by 269
Self-citationANALYSIS OF CEREBELLAR MOTOR DISORDERS BY VISUALLY GUIDED ELBOW TRACKING MOVEMENT
BEPPU, H., SUDA, M., & TANAKA, R. (1984) · Brain · doi:10.1093/brain/107.3.787 · Cited by 189
Submovements Grow Larger, Fewer, and More Blended during Stroke Recovery
Rohrer, B., Fasoli, S., Krebs, H. I., Volpe, B., Frontera, W. R., Stein, J., & Hogan, N. (2004) · Motor Control · doi:10.1123/mcj.8.4.472 · Cited by 163
Self-citationMotor learning after recovery from hemiparesis
Platz, T., Denzler, P., Kaden, B., & Mauritz, K.-H. (1994) · Neuropsychologia · doi:10.1016/0028-3932(94)90103-1 · Cited by 130
Using Wearable Sensors to Measure Motor Abilities following Stroke
Hester, T., Hughes, R., Sherrill, D. M., Knorr, B., Akay, M., Stein, J., & Bonato, P. (2006) · International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06) · doi:10.1109/bsn.2006.57 · Cited by 82
Cited by
Kal, E. C., van der Kamp, J., & Houdijk, H. (2013) · Human Movement Science · doi:10.1016/j.humov.2013.04.001 · Cited by 237
Mahadevan, N., Demanuele, C., Zhang, H., Volfson, D., Ho, B., Erb, M. K., & Patel, S. (2020) · npj Digital Medicine · doi:10.1038/s41746-019-0217-7 · Cited by 138
Bauer, C. M., Rast, F. M., Ernst, M. J., Kool, J., Oetiker, S., Rissanen, S. M., Suni, J. H., & Kankaanpää, M. (2015) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2015.06.001 · Cited by 97
Modeling Surgical Technical Skill Using Expert Assessment for Automated Computer Rating
Azari, D. P., Frasier, L. L., Quamme, S. R. P., Greenberg, C. C., Pugh, C. M., Greenberg, J. A., & Radwin, R. G. (2019) · Annals of Surgery · doi:10.1097/sla.0000000000002478 · Cited by 84
Palmer, C. J., Paton, B., Hohwy, J., & Enticott, P. G. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.06.020 · Cited by 55
Metadata
- Authors
- Hogan, N., & Sternad, D.
- Venue
- Journal of Motor Behavior
- Publisher
- Informa UK Limited
- Published
- 2009-01
- Volume
- 41
- Issue
- 6
- Pages
- 529-534
- ISSN
- 0022-2895 (ISSN-L)
- 1940-1027
- OpenAlex
- W2097919178
- Cited by
- 440
- References
- 13
- FWCI
- 2.44
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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