Buryanov A, Kotiuk V (2010) Proportions of hand segments. Int J Morphol 28(3):755–758
Article
Google Scholar
Carey JR, Kimberley TJ, Lewis SM, Auerbach EJ, Dorsey L, Rundquist P, Ugurbil K (2002) Analysis of fMRI and finger tracking training in subjects with chronic stroke. Brain 125:773–788
Article
PubMed
Google Scholar
Chapuis D, Gassert R, Sache L, Burdet E, Bleuler H (2004) Design of a simple MRI/fMRI compatible force/torque sensor. In: IEEE/RSJ international conference on intelligent robots and systems, 2004, pp 2593–2599
Determination of signal-to-noise ratio (SNR) in diagnostic magnetic resonance imaging. In: national electrical manufacturers association NEMA MS 1, 2008, pp 1–19
El Bannan K, Handler WB, Wyenberg C, Chronik BA, Salisbury SP (2013) Prediction of force and image artifacts under MRI for metals used in medical devices. IEEE/ASME Trans Mechatron 18(3):954–962
Article
Google Scholar
Erwin A, Malley MKO, Ress D, Sergi F (2015) Development, control, and MRI-compatibility of the MR-SoftWrist. In: IEEE international conference on rehabilitation robotics (ICORR), 2015, pp 187–192
Gassert R, Moser R, Burdet E, Bleuler H (2006) MRI/fMRI-compatible robotic system with force feedback for interaction with human motion. IEEE/ASME Trans Mechatron 11(2):216–224
Article
Google Scholar
Gassert R, Dovat L, Lambercy O, Ruffieux Y, Chapuis D, Ganesh G, et.al. (2006) A 2-DOF fMRI compatible haptic interface to investigate the neural control of arm movements. In: IEEE international conference on robotics and automation, ICRA, 2006, pp 3825–3831
Gu GM, Shin YK, Son J, Kim J (2012) Design and characterization of a photo-sensor based force measurement unit (FMU). Sens Actuators, A 182:49–56
CAS
Article
Google Scholar
Heo P, Gu GM, Lee SJ, Rhee K, Kim J (2012) Current hand exoskeleton technologies for rehabilitation and assistive engineering. Int J Precis Eng Manuf 13(5):807–824
Article
Google Scholar
Heuer H, Lüttgen J (2015) Robot assistance of motor learning: a neuro-cognitive perspective. Neurosci Biobehav Rev 56:222–240
Article
PubMed
Google Scholar
Jacq C, Lüthi B, Maeder T, Lambercy O, Gassert R, Ryser P (2010) Thick-film multi-DOF force/torque sensor for wrist rehabilitation. Sens Actuators, A 162:361–366
CAS
Article
Google Scholar
Jones CL, Wang F, Morrison R, Sarkar N, Kamper DG (2014) Design and development of the cable actuated finger exoskeleton for hand rehabilitation following stroke. IEEE/ASME Trans Mechatron 19:131–140
Article
Google Scholar
Khanicheh A, Mintzopoulos D, Weinberg B, Tzika A, Mavroidis C (2008) MR_CHIROD v. 2: magnetic resonance compatible smart hand rehabilitation device for brain imaging. IEEE Trans Neural Syst Rehabil Eng 16(1):91–98
Article
PubMed
Google Scholar
Kim HM, Kim GS (2013) Development of a finger-rehabilitation robot for fingers’ flexibility rehabilitation exercise. Int J Precis Eng Manuf 14(4):535–541
Article
Google Scholar
Kim YH, Park JW, Ko MH, Jang SH, Lee PKW (2004) Plastic changes of motor network after constraint-induced movement therapy. Yonsei Med J 45(2):241–246
Article
PubMed
Google Scholar
Komi ER, Roberts JR, Rothberg SJ (2007) Evaluation of thin, flexible sensors for time-resolved grip force measurement. J Mech Eng Sci 221:1687–1699
Article
Google Scholar
Lee SJ, Kim YJ, Jeong GH, Yoon BR, Jho JY, Kim DM, Rhee K (2012) Computational analyses of pinching dynamics of a finger exoskeleton composed of IPMC actuators. Int J Precis Eng Manuf 13(12):2135–2141
Article
Google Scholar
Li Z (2003) Using robotic hand technology for the rehabilitation of recovering stroke patients with loss of hand power
Li G, Li B, Sun J, Zhang W, Sun Z, Chen Q (2013) Development of a directly self-adaptive robot hand with pulley-belt mechanism. Int J Precis Eng Manuf 14(8):1361–1368
Article
Google Scholar
Lin J, Wu Y, Huang TS (2000) Modeling the constraints of human hand motion. In: proceedings work human motion, pp 21–126
Monfaredi R, Seifabadi R, Fichtinger G, Iordachita I (2013) Design of a decoupled MRI-compatible force sensor using fiber bragg grating sensors for robot-assisted prostate interventions. 8671:1–9
Richer E, Hurmuzlu Y (2016) Force actuator system : part II—Nonlinear controller design vol. 122, no. Sept 2000
Shellock FG (2000) Radiofrequency energy-induced heating during MR procedures: a review. J Magn Reson Imag 12:30–36
CAS
Article
Google Scholar
Taffoni F, Formica D, Saccomandi P, Di Pino G, Schena E (2013) Optical fiber-based MR-compatible sensors for medical applications: an overview. Sensors 13(10):14105–14120
Article
PubMed
PubMed Central
Google Scholar
Takahashi CD, Der-Yeghiaian L, Le V, Motiwala RR, Cramer SC (2008) Robot-based hand motor therapy after stroke. Brain 131:425–437
Article
PubMed
Google Scholar
Tan U, Yang B, Gullapalli R, Desai JP (2011) Triaxial MRI-compatible fiber-optic force sensor. IEEE Trans Robot 27(1):65–74
Article
PubMed
PubMed Central
Google Scholar
Tang Z, Iwata H, Shigeki S (2015) An fMRI pilot study evaluating brain activation during different finger training exercises. In: IEEE international conference on rehabilitation robotics (ICORR), 2015, pp 967–972
Tsekos NV, Khanicheh A, Christoforou E, Mavroidis C (2007) Magnetic resonance-compatible robotic and mechatronics systems for image-guided interventions and rehabilitation: a review study. Annu Rev Biomed Eng 9:351–387
CAS
Article
PubMed
Google Scholar
Yap HK, Lim JH, Nasrallah F, Low FZ, Goh JCH, Yeow RCH (2015) MRC-Glove : a fMRI compatible soft robotic glove for hand rehabilitation application. In: IEEE international conference on rehabilitation robotics (ICORR), 2015, pp 735–740
Yu N, Estévez N, Hepp-Reymond MC, Kollias SS, Riener R (2011) FMRI assessment of upper extremity related brain activation with an MRI-compatible manipulandum. Int J Comput Assist Radiol Surg 6:447–455
Article
PubMed
Google Scholar