Elbow angle generation during activities of daily living using a submovement prediction model (original) (raw)

• Ackery A, Tator C, Krassioukov A (2004) A global perspective on spinal cord injury epidemiology. J Neurotrauma 21(10):1355–1370. https://doi.org/10.1089/neu.2004.21.1355
  Article PubMed Google Scholar
• Akhtar A, Hargrove LJ, Bretl T (2012) Prediction of distal arm joint angles from EMG and shoulder orientation for prosthesis control. In: 2012 Annual international conference of the IEEE engineering in medicine and biology society. IEEE, pp 4160–4163 http://doi.org/10.1109/EMBC.2012.6346883
• Akoglu H (2018) User’s guide to correlation coefficients. Turk J Emerg Med 18(3):91–93. https://doi.org/10.1016/j.tjem.2018.08.001
  Article PubMed PubMed Central Google Scholar
• Ashegh Toosi M (2011) Synergy based anticipation of elbow joint angle using kinematic and EMG data of upper limb. Amirkabir University of Technology, Tehran
  Google Scholar
• Chen LL, Lee D, Fukushima K, Fukushima J (2012) Submovement composition of head movement. PLoS ONE 7(11):4–7. https://doi.org/10.1371/journal.pone.0047565
  Article CAS Google Scholar
• Crago PE, Memberg WD, Usey MK, Keith MW, Kirsch RF, Chapman GJ et al (1998) An elbow extension neuroprosthesis for individuals with tetraplegia. IEEE Trans Rehabil Eng. https://doi.org/10.1109/86.662614
  Article PubMed Google Scholar
• Dipietro L, Krebs HI, Fasoli SE, Volpe BT, Hogan N (2009) Submovement changes characterize generalization of motor recovery after stroke. Cortex 45(3):318–324. https://doi.org/10.1016/j.cortex.2008.02.008
  Article PubMed Google Scholar
• Eraifej J, Clark W, France B, Desando S, Moore D (2017) Effectiveness of upper limb functional electrical stimulation after stroke for the improvement of activities of daily living and motor function: a systematic review and meta-analysis. Syst Rev 6(1):1–21. https://doi.org/10.1186/s13643-017-0435-5
  Article Google Scholar
• Farokhzadi M, Maleki A, Fallah A, Rashidi S (2017) Online estimation of elbow joint angle using upper arm acceleration: a movement partitioning approach. J Biomed Phys Eng 7(3):305–314
  CAS PubMed PubMed Central Google Scholar
• Fishbach A, Roy SA, Bastianen C, Miller LE, Houk JC (2005) Kinematic properties of on-line error corrections in the monkey. Exp Brain Res 164(4):442–457. https://doi.org/10.1007/s00221-005-2264-3
  Article PubMed Google Scholar
• Fishbach A, Roy S, Bastianen C, Miller LE, Houk JC (2006) Deciding when and how to correct a movement: discrete submovements as a decision making process. Exp Brain Res 177(1):45–63. https://doi.org/10.1007/s00221-006-0652-y
  Article PubMed Google Scholar
• Flash T, Hogan N (1985) The coordination of arm movements: an experimentally confirmed mathematical model. J Neurosci 5(7):1688–1703. https://doi.org/10.1523/JNEUROSCI.05-07-01688.1985
  Article CAS PubMed PubMed Central Google Scholar
• Friedman J, Finkbeiner M (2010) Temporal dynamics of masked congruence priming: evidence from reaching trajectories. In: ASCS09: Proceedings of the 9th conference of the Australasian society for cognitive science. pp 98–105. http://doi.org/10.5096/ascs200916
• Friedman J, Brown S, Finkbeiner M (2013) Linking cognitive and reaching trajectories via intermittent movement control. J Math Psychol 57(3–4):140–151. https://doi.org/10.1016/j.jmp.2013.06.005
  Article Google Scholar
• Frisoli A, Loconsole C, Bartalucci R, Bergamasco M (2013) A new bounded jerk on-line trajectory planning for mimicking human movements in robot-aided neurorehabilitation. Robot Auton Syst 61(4):404–415. https://doi.org/10.1016/J.ROBOT.2012.09.003
  Article Google Scholar
• Grafton ST, Tunik E (2011) Human basal ganglia and the dynamic control of force during on-line corrections. J Neurosci 31(5):1600–1605. https://doi.org/10.1523/JNEUROSCI.3301-10.2011
  Article CAS PubMed PubMed Central Google Scholar
• Guidali M, Büchel M, Klamroth V, Nef T, Riener R (2009) Trajectory planning in ADL tasks for an exoskeletal arm rehabilitation robot. In: European conference on technically assisted rehabilitation (TAR). Deutsche Gesellschaft für Biomedizinische Technik, Berlin, pp 20–24. https://www.research-collection.ethz.ch/handle/20.500.11850/17939
• Henderson A, Korner-Bitensky N, Levin M (2007) Virtual reality in stroke rehabilitation: a systematic review of its effectiveness for upper limb motor recovery. Top Stroke Rehabil 14(2):52–61. https://doi.org/10.1310/tsr1402-52
  Article PubMed Google Scholar
• Hogan N, Sternad D (2013) Dynamic primitives in the control of locomotion. Front Comput Neurosci. https://doi.org/10.3389/FNCOM.2013.00071
  Article PubMed PubMed Central Google Scholar
• Iuppariello L (2015) Modelling and performance assessment of human reaching movements for disease classification. Università degli Studi di Napoli Federico II, Napoli
  Google Scholar
• Krebs HI, Aisen ML, Volpe BT, Hogan N (1999) Quantization of continuous arm movements in humans with brain injury. Proc Natl Acad Sci USA 96(8):4645–4649. https://doi.org/10.1073/pnas.96.8.4645
  Article CAS PubMed Google Scholar
• Ku HH, Ryu JH, Bae HS, Jeong C, Lee SE (2019) Modeling a long-term effect of rice straw incorporation on SOC content and grain yield in rice field. Arch Agron Soil Sci 65(14):1941–1954. https://doi.org/10.1080/03650340.2019.1583330
  Article CAS Google Scholar
• Liao JY, Kirsch RF (2014) Characterizing and predicting submovements during human three-dimensional arm reaches. PLoS ONE. https://doi.org/10.1371/journal.pone.0103387
  Article PubMed PubMed Central Google Scholar
• Liu MM, Herzog W, Savelberg HHCM (1999) Dynamic muscle force predictions from EMG: an artificial neural network approach. J Electromyogr Kinesiol 9(6):391–400. https://doi.org/10.1016/S1050-6411(99)00014-0
  Article CAS PubMed Google Scholar
• Marchal-Crespo L, Reinkensmeyer DJ (2009) Review of control strategies for robotic movement training after neurologic injury. J Neuroeng Rehabil 6:20. https://doi.org/10.1186/1743-0003-6-20
  Article PubMed PubMed Central Google Scholar
• Meng Q, Shao H, Wang L, Yu H (2019) Task-based trajectory planning for an exoskeleton upper limb rehabilitation robot. In: International conference on man-machine-environment system engineering. Springer, Singapore, pp. 141–149. http://doi.org/10.1007/978-981-13-2481-9_18
• Murphy MA, Sunnerhagen KS, Johnels B, Willén C (2006) Three-dimensional kinematic motion analysis of a daily activity drinking from a glass: a pilot study. J Neuroeng Rehabil 3(1):18. https://doi.org/10.1186/1743-0003-3-18
  Article PubMed Central Google Scholar
• Naghibi SS, Maleki A, Fallah A, Ghassemi F (2017) A modified method of submovement decomposition based on velocity profile and endpoint position. In: 24th Iranian conference of biomedical engineering (ICBME). IEEE, Tehran, pp 1–4. https://doi.org/10.1109/ICBME.2017.8430253
• Plamondon R, Alimi AM, Yergeau P, Leclerc F (1993) Modelling velocity profiles of rapid movements: a comparative study. Biol Cyber 69(2):119–128. https://doi.org/10.1007/BF00226195
• Raghavan VS, Albrecht J, Irwin D (2011) Finding a “Kneedle” in a haystack: detecting knee points in system behavior. In: 31st International conference on distributed computing systems workshops. pp 166–171. https://doi.org/10.1109/ICDCSW.2011.20
• Ramírez-García A, Leija L, Muñoz R (2010) Active upper limb prosthesis based on natural movement trajectories. Prosthet Orthot Int 34(1):58–72. https://doi.org/10.3109/03093640903463792
  Article PubMed Google Scholar
• Rohrer BR (2002) Evolution of movement smoothness and submovement patterns in persons with stroke. Massachusetts Institute of Technology, Cambridge
  Google Scholar
• Rohrer B, Hogan N (2006) Avoiding spurious submovement decompositions II: a scattershot algorithm. Biol Cybern 94(5):409–414. https://doi.org/10.1007/s00422-006-0055-y
  Article PubMed Google Scholar
• Ruparel R, Johnson MJ (2008) A task-oriented, trajectory planner: could it train stroke survivors to move normally on ADLs? In: 2008 2nd IEEE RAS & EMBS International conference on biomedical robotics and biomechatronics. IEEE, pp 813–818. http://doi.org/10.1109/BIOROB.2008.4762930
• Sinclair J, John Taylor P, Jane Hobbs S (2013) Digital filtering of three-dimensional lower extremity kinematics: an assessment. J Hum Kinet 39(1):25–36. https://doi.org/10.2478/hukin-2013-0065
  Article PubMed PubMed Central Google Scholar
• Triwiyanto T, Wahyunggoro O, Nugroho HA, Herianto H (2018) Estimation of elbow joint angle based on electromyography using the sign-slope change feature and Kalman filtering. IOP Conf Ser Mater Sci Eng 384(1):012014. https://doi.org/10.1088/1757-899X/384/1/012014
  Article Google Scholar
• WHO (2018) Stroke, cerebrovascular accident. Retrieved May 19, 2019 from http://www.who.int/topics/cerebrovascular_accident/en/
• Wisneski KJ, Johnson MJ (2007) Trajectory planning for functional wrist movements in an ADL-oriented, robot-assisted therapy environment. In: Proceedings 2007 IEEE international conference on robotics and automation. IEEE, pp 3365–3370. http://doi.org/10.1109/ROBOT.2007.363992
• Woodworth RS (1899) The accuracy of voluntary movements. Psychol Rev 3:1–114
  Google Scholar