The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Quantization of continuous arm movements in humans with brain injury
Open accessAbstract
Segmentation of apparently continuous movement has been reported for over a century by human movement researchers, but the existence of primitive submovements has never been proved. In 20 patients recovering from a single cerebral vascular accident (stroke), we identified the apparent submovements that composed a continuous arm motion in an unloaded task. Kinematic analysis demonstrated a submovement speed profile that was invariant across patients with different brain lesions and provided experimental verification of the detailed shape of primitive submovements. The submovement shape was unaffected by its peak speed, and to test further the invariance of shape with speed, we analyzed movement behavior in a patient with myoclonus. This patient occasionally made involuntary shock-like arm movements, which occurred near the maximum capacity of the neuromuscular system, exhibited speed profiles that were comparable to those identified in stroke patients, and were also independent of speed.
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Cites
Multilayer feedforward networks are universal approximators
Hornik, K., Stinchcombe, M., & White, H. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90020-8 · Cited by 21,728
Approximation by superpositions of a sigmoidal function
Cybenko, G. (1989) · Mathematics of Control, Signals, and Systems · doi:10.1007/bf02551274 · Cited by 13,883
The information capacity of the human motor system in controlling the amplitude of movement.
Fitts, P. M. (1954) · Journal of Experimental Psychology · doi:10.1037/h0055392 · Cited by 6,466
The information capacity of the human motor system in controlling the amplitude of movement.
Fitts, P. M. (1992) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.121.3.262 · Cited by 6,278
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-citationSpatial control of arm movements
Morasso, P. (1981) · Experimental Brain Research · doi:10.1007/bf00236911 · Cited by 1,668
Robot-aided neurorehabilitation
Krebs, H. I., Hogan, N., Aisen, M. L., & Volpe, B. T. (1998) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.662623 · Cited by 1,425
Self-citationAn organizing principle for a class of voluntary movements
Hogan, N. (1984) · The Journal of Neuroscience · doi:10.1523/jneurosci.04-11-02745.1984 · Cited by 1,330
Self-citationRegularization Algorithms for Learning That Are Equivalent to Multilayer Networks
Poggio, T., & Girosi, F. (1990) · Science · doi:10.1126/science.247.4945.978 · Cited by 1,026
Physical principles for economies of skilled movements
Nelson, W. L. (1983) · Biological Cybernetics · doi:10.1007/bf00339982 · Cited by 979
Cited by
Lum, P. S., Burgar, C. G., Shor, P. C., Majmundar, M., & Van der Loos, M. (2002) · Archives of Physical Medicine and Rehabilitation · doi:10.1053/apmr.2001.33101 · Cited by 1,159
Motor Patterns in Human Walking and Running
Cappellini, G., Ivanenko, Y. P., Poppele, R. E., & Lacquaniti, F. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00081.2006 · Cited by 798
Rehabilitation Robotics: Performance-Based Progressive Robot-Assisted Therapy
Krebs, H. I., Palazzolo, J. J., Dipietro, L., Ferraro, M., Krol, J., Rannekleiv, K., Volpe, B. T., & Hogan, N. (2003) · Autonomous Robots · doi:10.1023/a:1024494031121 · Cited by 714
Self-citationPatton, J. L., Stoykov, M. E., Kovic, M., & Mussa-Ivaldi, F. A. (2006) · Experimental Brain Research · doi:10.1007/s00221-005-0097-8 · Cited by 469
On rhythmic and discrete movements: reflections, definitions and implications for motor control
Hogan, N., & Sternad, D. (2007) · Experimental Brain Research · doi:10.1007/s00221-007-0899-y · Cited by 285
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Metadata
- Authors
- Krebs, H. I., Aisen, M. L., Volpe, B. T., & Hogan, N.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 1999-04-13
- Volume
- 96
- Issue
- 8
- Pages
- 4645-4649
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2001067471
- Cited by
- 269
- References
- 25
- FWCI
- 4.81
- Type
- journal article
- Language
- en
- Open access
- green
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- Krebs, H. I., Aisen, M. L., Volpe, B. T., & Hogan, N. (1999). Quantization of continuous arm movements in humans with brain injury. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.96.8.4645
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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