Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 50 of 118

1.

Bimanual wheelchair propulsion by people with severe hemiparesis after stroke.

Smith BW, Bueno DR, Zondervan DK, Montano L, Reinkensmeyer DJ.

Disabil Rehabil Assist Technol. 2019 Jun 28:1-14. doi: 10.1080/17483107.2019.1630018. [Epub ahead of print]

PMID:
31248296
2.

Somatosensory system integrity explains differences in treatment response after stroke.

Ingemanson ML, Rowe JR, Chan V, Wolbrecht ET, Reinkensmeyer DJ, Cramer SC.

Neurology. 2019 Mar 5;92(10):e1098-e1108. doi: 10.1212/WNL.0000000000007041. Epub 2019 Feb 6.

PMID:
30728310
3.

Correction to: Dissociating motor learning from recovery in exoskeleton training post-stroke.

Schweighofer N, Wang C, Mottet D, Laffont I, Bakhti K, Reinkensmeyer DJ, Rémy-Néris O.

J Neuroeng Rehabil. 2018 Dec 17;15(1):120. doi: 10.1186/s12984-018-0473-9.

4.

Directly Measuring the Rate of Slacking as Stroke Survivors produced Isometric Forces during a Tracking Task.

Smith BW, Rowe JB, Reinkensmeyer DJ.

Conf Proc IEEE Eng Med Biol Soc. 2018 Jul;2018:2519-2522. doi: 10.1109/EMBC.2018.8512740.

PMID:
30440920
5.

Dissociating motor learning from recovery in exoskeleton training post-stroke.

Schweighofer N, Wang C, Mottet D, Laffont I, Bakhti K, Reinkensmeyer DJ, Rémy-Néris O.

J Neuroeng Rehabil. 2018 Oct 5;15(1):89. doi: 10.1186/s12984-018-0428-1. Erratum in: J Neuroeng Rehabil. 2018 Dec 17;15(1):120.

6.

Neural circuits activated by error amplification and haptic guidance training techniques during performance of a timing-based motor task by healthy individuals.

Milot MH, Marchal-Crespo L, Beaulieu LD, Reinkensmeyer DJ, Cramer SC.

Exp Brain Res. 2018 Nov;236(11):3085-3099. doi: 10.1007/s00221-018-5365-5. Epub 2018 Aug 21.

7.

Real-time slacking as a default mode of grip force control: implications for force minimization and personal grip force variation.

Smith BW, Rowe JB, Reinkensmeyer DJ.

J Neurophysiol. 2018 Oct 1;120(4):2107-2120. doi: 10.1152/jn.00700.2017. Epub 2018 Aug 8.

PMID:
30089024
8.

Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke.

Norman SL, McFarland DJ, Miner A, Cramer SC, Wolbrecht ET, Wolpaw JR, Reinkensmeyer DJ.

J Neural Eng. 2018 Oct;15(5):056026. doi: 10.1088/1741-2552/aad724. Epub 2018 Jul 31.

9.

Finger strength, individuation, and their interaction: Relationship to hand function and corticospinal tract injury after stroke.

Wolbrecht ET, Rowe JB, Chan V, Ingemanson ML, Cramer SC, Reinkensmeyer DJ.

Clin Neurophysiol. 2018 Apr;129(4):797-808. doi: 10.1016/j.clinph.2018.01.057. Epub 2018 Feb 3.

10.

How a diverse research ecosystem has generated new rehabilitation technologies: Review of NIDILRR's Rehabilitation Engineering Research Centers.

Reinkensmeyer DJ, Blackstone S, Bodine C, Brabyn J, Brienza D, Caves K, DeRuyter F, Durfee E, Fatone S, Fernie G, Gard S, Karg P, Kuiken TA, Harris GF, Jones M, Li Y, Maisel J, McCue M, Meade MA, Mitchell H, Mitzner TL, Patton JL, Requejo PS, Rimmer JH, Rogers WA, Zev Rymer W, Sanford JA, Schneider L, Sliker L, Sprigle S, Steinfeld A, Steinfeld E, Vanderheiden G, Winstein C, Zhang LQ, Corfman T.

J Neuroeng Rehabil. 2017 Nov 6;14(1):109. doi: 10.1186/s12984-017-0321-3. Review.

11.

A Home-Based Telerehabilitation Program for Patients With Stroke.

Dodakian L, McKenzie AL, Le V, See J, Pearson-Fuhrhop K, Burke Quinlan E, Zhou RJ, Augsberger R, Tran XA, Friedman N, Reinkensmeyer DJ, Cramer SC.

Neurorehabil Neural Repair. 2017 Oct-Nov;31(10-11):923-933. doi: 10.1177/1545968317733818. Epub 2017 Oct 26.

12.

Wearable sensing for rehabilitation after stroke: Bimanual jerk asymmetry encodes unique information about the variability of upper extremity recovery.

de Lucena DS, Stoller O, Rowe JB, Chan V, Reinkensmeyer DJ.

IEEE Int Conf Rehabil Robot. 2017 Jul;2017:1603-1608. doi: 10.1109/ICORR.2017.8009477.

PMID:
28814049
13.

How do strength and coordination recovery interact after stroke? A computational model for informing robotic training.

Norman SL, Lobo-Prat J, Reinkensmeyer DJ.

IEEE Int Conf Rehabil Robot. 2017 Jul;2017:181-186. doi: 10.1109/ICORR.2017.8009243.

PMID:
28813815
14.

There is plenty of room for motor learning at the bottom of the Fugl-Meyer: Acquisition of a novel bimanual wheelchair skill after chronic stroke using an unmasking technology.

Sarigul-Klijn Y, Lobo-Prat J, Smith BW, Thayer S, Zondervan D, Chan V, Stoller O, Reinkensmeyer DJ.

IEEE Int Conf Rehabil Robot. 2017 Jul;2017:50-55. doi: 10.1109/ICORR.2017.8009220.

15.

Robotic Assistance for Training Finger Movement Using a Hebbian Model: A Randomized Controlled Trial.

Rowe JB, Chan V, Ingemanson ML, Cramer SC, Wolbrecht ET, Reinkensmeyer DJ.

Neurorehabil Neural Repair. 2017 Aug;31(8):769-780. doi: 10.1177/1545968317721975.

16.

Design and experimental evaluation of yoked hand-clutching for a lever drive chair.

Sarigul-Klijn Y, Smith BW, Reinkensmeyer DJ.

Assist Technol. 2018;30(5):281-288. doi: 10.1080/10400435.2017.1326413. Epub 2017 Jun 19.

PMID:
28506153
17.

Model-based assistance-as-needed for robotic movement therapy after stroke.

Taheri H, Reinkensmeyer DJ, Wolbrecht ET.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:2124-2127. doi: 10.1109/EMBC.2016.7591148.

PMID:
28268751
18.

Design of a thumb module for the FINGER rehabilitation robot.

Wolbrecht ET, Morse KJ, Perry JC, Reinkensmeyer DJ.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:582-585. doi: 10.1109/EMBC.2016.7590769.

PMID:
28268397
19.

Home-based hand rehabilitation after chronic stroke: Randomized, controlled single-blind trial comparing the MusicGlove with a conventional exercise program.

Zondervan DK, Friedman N, Chang E, Zhao X, Augsburger R, Reinkensmeyer DJ, Cramer SC.

J Rehabil Res Dev. 2016;53(4):457-72. doi: 10.1682/JRRD.2015.04.0057.

20.

Computational neurorehabilitation: modeling plasticity and learning to predict recovery.

Reinkensmeyer DJ, Burdet E, Casadio M, Krakauer JW, Kwakkel G, Lang CE, Swinnen SP, Ward NS, Schweighofer N.

J Neuroeng Rehabil. 2016 Apr 30;13(1):42. doi: 10.1186/s12984-016-0148-3. Review.

21.

Design and Evaluation of the Kinect-Wheelchair Interface Controlled (KWIC) Smart Wheelchair for Pediatric Powered Mobility Training.

Zondervan DK, Secoli R, Darling AM, Farris J, Furumasu J, Reinkensmeyer DJ.

Assist Technol. 2015 Fall;27(3):183-92. doi: 10.1080/10400435.2015.1012607.

PMID:
26427746
22.

Robotic Rehabilitator of the Rodent Upper Extremity: A System and Method for Assessing and Training Forelimb Force Production after Neurological Injury.

Sharp KG, Duarte JE, Gebrekristos B, Perez S, Steward O, Reinkensmeyer DJ.

J Neurotrauma. 2016 Mar 1;33(5):460-7. doi: 10.1089/neu.2015.3987. Epub 2016 Jan 18.

23.

Use of a robotic device to measure age-related decline in finger proprioception.

Ingemanson ML, Rowe JB, Chan V, Wolbrecht ET, Cramer SC, Reinkensmeyer DJ.

Exp Brain Res. 2016 Jan;234(1):83-93. doi: 10.1007/s00221-015-4440-4. Epub 2015 Sep 16.

24.

A novel device for studying weight supported, quadrupedal overground locomotion in spinal cord injured rats.

Hamlin M, Traughber T Jr, Reinkensmeyer DJ, de Leon RD.

J Neurosci Methods. 2015 May 15;246:134-41. doi: 10.1016/j.jneumeth.2015.03.015. Epub 2015 Mar 18.

25.

Effects of robotically modulating kinematic variability on motor skill learning and motivation.

Duarte JE, Reinkensmeyer DJ.

J Neurophysiol. 2015 Apr 1;113(7):2682-91. doi: 10.1152/jn.00163.2014. Epub 2015 Feb 11.

26.

Feasibility of a bimanual, lever-driven wheelchair for people with severe arm impairment after stroke.

Smith BW, Zondervan DK, Lord TJ, Chan V, Reinkensmeyer DJ.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:5292-5. doi: 10.1109/EMBC.2014.6944820.

PMID:
25571188
27.

The variable relationship between arm and hand use: a rationale for using finger magnetometry to complement wrist accelerometry when measuring daily use of the upper extremity.

Rowe JB, Friedman N, Chan V, Cramer SC, Bachman M, Reinkensmeyer DJ.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:4087-90. doi: 10.1109/EMBC.2014.6944522.

PMID:
25570890
28.

Robot-assisted motor training: assistance decreases exploration during reinforcement learning.

Sans-Muntadas A, Duarte JE, Reinkensmeyer DJ.

Conf Proc IEEE Eng Med Biol Soc. 2014;2014:3516-20. doi: 10.1109/EMBC.2014.6944381.

PMID:
25570749
29.

Machine-Based, Self-guided Home Therapy for Individuals With Severe Arm Impairment After Stroke: A Randomized Controlled Trial.

Zondervan DK, Augsburger R, Bodenhoefer B, Friedman N, Reinkensmeyer DJ, Cramer SC.

Neurorehabil Neural Repair. 2015 Jun;29(5):395-406. doi: 10.1177/1545968314550368. Epub 2014 Oct 1.

30.

The manumeter: a wearable device for monitoring daily use of the wrist and fingers.

Friedman N, Rowe JB, Reinkensmeyer DJ, Bachman M.

IEEE J Biomed Health Inform. 2014 Nov;18(6):1804-12. doi: 10.1109/JBHI.2014.2329841. Epub 2014 Jun 30.

PMID:
25014974
31.

Performance assessment of a brain-computer interface driven hand orthosis.

King CE, Dave KR, Wang PT, Mizuta M, Reinkensmeyer DJ, Do AH, Moromugi S, Nenadic Z.

Ann Biomed Eng. 2014 Oct;42(10):2095-105. doi: 10.1007/s10439-014-1066-9. Epub 2014 Jul 11.

PMID:
25012465
32.

Judging complex movement performances for excellence: a principal components analysis-based technique applied to competitive diving.

Young C, Reinkensmeyer DJ.

Hum Mov Sci. 2014 Aug;36:107-22. doi: 10.1016/j.humov.2014.05.009. Epub 2014 Jun 24.

PMID:
24968369
33.

Retraining and assessing hand movement after stroke using the MusicGlove: comparison with conventional hand therapy and isometric grip training.

Friedman N, Chan V, Reinkensmeyer AN, Beroukhim A, Zambrano GJ, Bachman M, Reinkensmeyer DJ.

J Neuroeng Rehabil. 2014 Apr 30;11:76. doi: 10.1186/1743-0003-11-76.

34.

Gesture therapy: an upper limb virtual reality-based motor rehabilitation platform.

Sucar LE, Orihuela-Espina F, Velazquez RL, Reinkensmeyer DJ, Leder R, Hernández-Franco J.

IEEE Trans Neural Syst Rehabil Eng. 2014 May;22(3):634-43. doi: 10.1109/TNSRE.2013.2293673. Epub 2013 Dec 5.

35.

Corticospinal excitability as a predictor of functional gains at the affected upper limb following robotic training in chronic stroke survivors.

Milot MH, Spencer SJ, Chan V, Allington JP, Klein J, Chou C, Pearson-Fuhrhop K, Bobrow JE, Reinkensmeyer DJ, Cramer SC.

Neurorehabil Neural Repair. 2014 Nov-Dec;28(9):819-27. doi: 10.1177/1545968314527351. Epub 2014 Mar 18.

36.

Design and preliminary evaluation of the FINGER rehabilitation robot: controlling challenge and quantifying finger individuation during musical computer game play.

Taheri H, Rowe JB, Gardner D, Chan V, Gray K, Bower C, Reinkensmeyer DJ, Wolbrecht ET.

J Neuroeng Rehabil. 2014 Feb 4;11:10. doi: 10.1186/1743-0003-11-10.

37.

Time flies when you are in a groove: using entrainment to mechanical resonance to teach a desired movement distorts the perception of the movement's timing.

Zondervan DK, Duarte JE, Rowe JB, Reinkensmeyer DJ.

Exp Brain Res. 2014 Mar;232(3):1057-70. doi: 10.1007/s00221-013-3819-3. Epub 2014 Jan 8.

PMID:
24398898
38.

A crossover pilot study evaluating the functional outcomes of two different types of robotic movement training in chronic stroke survivors using the arm exoskeleton BONES.

Milot MH, Spencer SJ, Chan V, Allington JP, Klein J, Chou C, Bobrow JE, Cramer SC, Reinkensmeyer DJ.

J Neuroeng Rehabil. 2013 Dec 19;10:112. doi: 10.1186/1743-0003-10-112.

39.

Effort, performance, and motivation: insights from robot-assisted training of human golf putting and rat grip strength.

Duarte JE, Gebrekristos B, Perez S, Rowe JB, Sharp K, Reinkensmeyer DJ.

IEEE Int Conf Rehabil Robot. 2013 Jun;2013:6650461. doi: 10.1109/ICORR.2013.6650461.

PMID:
24187278
40.

Lever-actuated resonance assistance (LARA): a wheelchair-based method for upper extremity therapy and overground ambulation for people with severe arm impairment.

Zondervan DK, Smith B, Reinkensmeyer DJ.

IEEE Int Conf Rehabil Robot. 2013 Jun;2013:6650400. doi: 10.1109/ICORR.2013.6650400.

PMID:
24187219
41.

The Manumeter: a non-obtrusive wearable device for monitoring spontaneous use of the wrist and fingers.

Rowe JB, Friedman N, Bachman M, Reinkensmeyer DJ.

IEEE Int Conf Rehabil Robot. 2013 Jun;2013:6650397. doi: 10.1109/ICORR.2013.6650397.

42.

A standardized approach to the Fugl-Meyer assessment and its implications for clinical trials.

See J, Dodakian L, Chou C, Chan V, McKenzie A, Reinkensmeyer DJ, Cramer SC.

Neurorehabil Neural Repair. 2013 Oct;27(8):732-41. doi: 10.1177/1545968313491000. Epub 2013 Jun 17.

43.

The Resonating Arm Exerciser: design and pilot testing of a mechanically passive rehabilitation device that mimics robotic active assistance.

Zondervan DK, Palafox L, Hernandez J, Reinkensmeyer DJ.

J Neuroeng Rehabil. 2013 Apr 18;10:39. doi: 10.1186/1743-0003-10-39.

44.

Robot-assisted Guitar Hero for finger rehabilitation after stroke.

Taheri H, Rowe JB, Gardner D, Chan V, Reinkensmeyer DJ, Wolbrecht ET.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:3911-7. doi: 10.1109/EMBC.2012.6346822.

45.

Single degree-of-freedom exoskeleton mechanism design for thumb rehabilitation.

Yihun Y, Miklos R, Perez-Gracia A, Reinkensmeyer DJ, Denney K, Wolbrecht ET.

Conf Proc IEEE Eng Med Biol Soc. 2012;2012:1916-20. doi: 10.1109/EMBC.2012.6346328.

46.

Comparison of three-dimensional, assist-as-needed robotic arm/hand movement training provided with Pneu-WREX to conventional tabletop therapy after chronic stroke.

Reinkensmeyer DJ, Wolbrecht ET, Chan V, Chou C, Cramer SC, Bobrow JE.

Am J Phys Med Rehabil. 2012 Nov;91(11 Suppl 3):S232-41. doi: 10.1097/PHM.0b013e31826bce79.

47.

Substituting auditory for visual feedback to adapt to altered dynamic and kinematic environments during reaching.

Oscari F, Secoli R, Avanzini F, Rosati G, Reinkensmeyer DJ.

Exp Brain Res. 2012 Aug;221(1):33-41. doi: 10.1007/s00221-012-3144-2. Epub 2012 Jun 26.

PMID:
22733310
48.

Breaking it down is better: haptic decomposition of complex movements aids in robot-assisted motor learning.

Klein J, Spencer SJ, Reinkensmeyer DJ.

IEEE Trans Neural Syst Rehabil Eng. 2012 May;20(3):268-75. doi: 10.1109/TNSRE.2012.2195202. Epub 2012 Apr 18.

49.

Major trends in mobility technology research and development: overview of the results of the NSF-WTEC European study.

Reinkensmeyer DJ, Bonato P, Boninger ML, Chan L, Cowan RE, Fregly BJ, Rodgers MM.

J Neuroeng Rehabil. 2012 Apr 20;9:22. doi: 10.1186/1743-0003-9-22. Review.

50.

Recent trends in assistive technology for mobility.

Cowan RE, Fregly BJ, Boninger ML, Chan L, Rodgers MM, Reinkensmeyer DJ.

J Neuroeng Rehabil. 2012 Apr 20;9:20. doi: 10.1186/1743-0003-9-20. Review.

Supplemental Content

Loading ...
Support Center