Towards intelligent robot-assisted rehabilitation systems

References

• Antsaklis, P.J., and Koutsoukos, X.D. (2003), ‘Hybrid Systems: Review and Recent Progress, Software-Enabled Control’, in Information Technologies for Dynamical Systems, eds. T. Samad and G. Balas, New York: IEEE Press, pp. 1–29
   Google Scholar
• American Heart Association (2006), Heart and Stroke Statistical Update
   Google Scholar
• Bach-y-Rita , P , Wood , S , Leder , R , Paredes , O , Bahr , D , Bach-y-Rita , EW and Murillo , N . 2002 . Computer Assisted Motivating Rehabilitation for Institutional, Home, and Educational Late Stroke Programs . Top Stroke Rehabilitation , 8 : 1 – 10 .
   PubMedGoogle Scholar
• Cauraugh , JH and Summers , JJ . 2005 . Neural Plasticity and Bilateral Movements: A Rehabilitation Approach for Chronic Stroke . Progress in Neurobiology , 75 : 309 – 320 .
   PubMed Web of Science ®Google Scholar
• Chen S., Kazi Z., Beitler M., Salganicoff M., Chester D. and Foulds R. (1996), ‘Gesture-speech Based HMI for a Rehabilitation Robot’, in Ieee Southeastcon Conference, pp. 29–36
   Google Scholar
• Cheng , HS , Ju , MS and Lin , CCK . 2003 . Improving Elbow Torque Output of Stroke Patients with Assistive Torque Controlled by EMG Signals . Journal of Biomechanical Engineering , 125 : 881 – 886 .
   PubMed Web of Science ®Google Scholar
• Choi , EHC . 2006 . On Compensating the Mel-frequency Cepstral Coefficients for Noisy Speech Recognition . 29th Australasian Computer Science Conference , 48 : 49 – 54 .
   Google Scholar
• Data Acquisition Toolbox User's Guide, Matlab R2007a, Mathworks
   Google Scholar
• Deller , JR Jr , Hansen , JHL and Proakis , JG . 1993 . Discrete-time Processing of Speech Signals , New York : Macmillian .
   Google Scholar
• DiCicco M., Lucas L., and Matsuoka Y., (2004), ‘Comparison of Control Strategies for an EMG Controlled Orthotic Exoskeleton for the Hand’, in IEEE International Conference on Robotics and Automation, pp. 1622–1627
   Google Scholar
• Erol D. (2007), ‘Design of an Intelligent Control Architecture for Rehabilitation Robotics’, Ph.D. thesis, Vanderbilt University
   Google Scholar
• Erol , D and Sarkar , N . 2007 . Intelligent Control for Robotic Rehabilitation after Stroke . Journal of Intelligent and Robotic Systems , 50 : 341 – 360 .
   Web of Science ®Google Scholar
• Erol , D and Sarkar , N . 2008 . Coordinated Control of Assistive Robotic Devices for Activities of Daily Living Tasks . IEEE Transactions on Neural Systems and Rehabilitation Engineering , 16 : 278 – 285 .
   PubMed Web of Science ®Google Scholar
• Gülmezoglu , MB , Dzhafarov , V , Edizkan , R and Barkana , A . 2007 . The Common Vector Approach and Its Comparison with other Subspace Methods in Case of Sufficient Data . Computer Speech and Language Archive , 21 : 266 – 281 .
   Google Scholar
• Immersion Corporation, www.immersion.com/
   Google Scholar
• Jack , D , Boian , R , Merians , AS , Tremaine , M , Burdea , GC , Adamovich , SV , Recce , M and Poizner , H . 2001 . Virtual Reality-enhanced Stroke Rehabilitation . IEEE Transactions on Neural Systems and Rehabilitation Engineering , 9 : 308 – 318 .
   PubMed Web of Science ®Google Scholar
• Jeannerod , M . 1981 . “ Intersegmental Coordination during Reaching at Natural Visual Objects ” . In Attention and Performance IX , Edited by: Long , J and Baddeley , A . 153 – 168 . New Jersey : Lawrence Erlbaum Associates .
   Google Scholar
• Kahn , LE , Lum , PS , Rymer , WZ and Reinkensmeyer , DJ . 2006 . Robot-assisted Movement Training for the Stroke-impaired Arm: Does it Matter What the Robot Does? . Journal of Rehabilitation Research & Development , 43 : 619 – 630 .
   PubMed Web of Science ®Google Scholar
• Kawamura K., Bishay M., Bagchi S., Saad A., Iskarous M., and Fumoto M. (1994), ‘Intelligent user Interface for a Rehabilitation Robot’, in IEEE International Conference on Rehabilitation Robotics, pp. 31–35
   Google Scholar
• Kiguchi , K , Kariya , K , Watanabe , K , Izumi , K and Fukuda , T . 2001 . An Exoskeletal Robot for Human Elbow Motion Support-sensor Fusion, Adaptation, and Control . IEEE Transactions on System, Man and Cybernetics, Part B: Cybernetics , 31 ( 3 ) : 353 – 361 .
   PubMedGoogle Scholar
• Kline T., Kamper D., and Schmit B. (2005), ‘Control System for Pneumatically Controlled Glove to Assist in Grasp Activities’, in IEEE 9th International Conference on Rehabilitation Robotics, pp. 78–81
   Google Scholar
• Koutsoukos , XD , Antsaklis , PJ , Stiver , JA and Lemmon , MD . 2000 . Supervisory Control of Hybrid Systems . IEEE on Special Issue on Hybrid Systems: Theory and Applications , 88 : 1026 – 1049 .
   Web of Science ®Google Scholar
• Krebs , HI , Ferraro , M , Buerger , SP , Newbery , MJ , Makiyama , A , Sandmann , M , Lynch , D , Volpe , BT and Hogan , N . 2004 . Rehabilitation Robotics: Pilot Trial of a Spatial Extension for MIT-Manus . Journal of Neuroengineering Rehabilitation , 1 : 1 – 15 .
   PubMedGoogle Scholar
• Liepert , J , Bauder , H , Miltner , WHR , Taub , E and Weiller , C . 2000 . Treatment-induced Massive Cortical Reorganization after Stroke in Humans . Stroke , 31 : 1210 – 1216 .
   PubMed Web of Science ®Google Scholar
• Loureiro , R , Amirabdollahian , F , Topping , M , Driessen , B and Harwin , W . 2003 . Upper Limb Mediated Stroke Therapy–GENTLE/s Approach . Autonomous Robots , 15 : 35 – 51 .
   Web of Science ®Google Scholar
• Lum , PS , Burgar , CG , Van der Loos , HFM , Shor , PC , Majmundar , M and Yap , R . 2006 . MIME Robotic Device for Upper-limb Neurorehabilitation in Subacute Stroke Subjects: A Follow-up Study . Journal of Rehabilitation Research & Development , 43 : 631 – 642 .
   PubMed Web of Science ®Google Scholar
• Ma , H and Trombly , CA . 2002 . A Synthesis of the Effects of Occupational Therapy for Persons with Stroke, Part II: Remediation of Impairments . American Journal of Occupational Therapy , 56 : 260 – 274 .
   PubMed Web of Science ®Google Scholar
• Matchar , DB and Duncan , PW . 1994 . Cost of Stroke . Stroke Clinical Updates , 5 : 9 – 12 .
   Google Scholar
• Molau , S , Pitz , M , Schluter , R and Ney , H . 2001 . Computing Mel-frequency Cepstral Coefficients on the Power Spectrum . IEEE International Conference on Acoustics, Speech and Signal Processing , 1 : 73 – 76 .
   Google Scholar
• Murphy , MA , Sunnerhagen , KS , Johnels , B and Willen , C . 2006 . Three-dimensional Kinematic Motion Analysis of a Daily Activity Drinking from a Glass: A Pilot Study . Journal of Neuroengineering Rehabilitation , 16 : 3 – 18 .
   Google Scholar
• Nasersharif , B and Akbari , A . 2007 . SNR-dependent Compression of Enhanced Mel Sub-band Energies for Compensation of Noise Effects on MFCC Features . Pattern Recognition Letters , 28 : 320 – 1326 .
   Google Scholar
• Nudo , RJ . 2003 . Functional and Structural Plasticity in Motor Cortex: Implications for Stroke Recovery . Physical Medicine and Rehabilitation Clinics of North America , 14 : 57 – 76 .
   PubMedGoogle Scholar
• Park , E and Meek , SG . 1993 . Fatigue Compensation of the Electromyographic Signal for Prosthetic Control and Force Estimation . IEEE Transactions on Biomedical Engineering , 40 : 1019 – 1023 .
   PubMed Web of Science ®Google Scholar
• Pires , G and Nunes , U . 2002 . A Wheelchair Steered through Voice Commands and Assisted by a Reactive Fuzzy-logic Controller . Journal of Intelligent and Robotic System , 34 : 301 – 314 .
   Web of Science ®Google Scholar
• Rabiner , LR and Sambur , MR . 1975 . An Algorithm for Determining the Endpoints of Isolated Utterences . The Bell System Technical Journal , 54 : 297 – 315 .
   Google Scholar
• Rosen , J , Brand , M , Fuchs , MB and Arcan , M . 2001 . A Myosignal-based Powered Exoskeleton System . IEEE Transactions on Systems, Man, and Cybernetics, Part A , 31 : 210 – 212 .
   Web of Science ®Google Scholar
• Sawner , K and Lavigne , J . 1992 . Brunnstrom's Movement Therapy in Hemiplegia: A Neurophysiological Approach , Philadelphia : JB Lippincott Co .
   Google Scholar
• Sigurdsson S., Petersen K.B, and Lehn-Schioler T. (2006), ‘Mel Frequency Cepstral Coefficients: An Evaluation of Robustness of MP3 Encoded Music’, in Seventh International Conference on Music Information Retieval (ISMIR), pp. 286–289
   Google Scholar
• Takahashi C.D., Der-Yeghiaian L., Le V.H., Cramer S.C. (2005), ‘A Robotic Device for Hand Motor Therapy after Stroke’, in IEEE 9th International Conference on Rehabilitation Robotics, pp. 17–20
   Google Scholar
• Taub , E , Crago , JE and Burgio , LD . 1994 . An Operant Approach to Rehabilitation Medicine: Overcoming Learned Nonuse by Shaping . Journal of the Experimental Analysis of Behavior , 61 : 281 – 293 .
   PubMed Web of Science ®Google Scholar
• Trombly , CA and Hui-ing , MA . 2002 . A Synthesis of the Effects of Occupational Therapy for Persons with Stroke, Part I: Restoration of Roles, Tasks, and Activities . American Journal of Occupational Therapy , 56 : 250 – 259 .
   PubMed Web of Science ®Google Scholar
• Wood , SR , Murillo , N , Bach-y-Rita , P , Leder , RS , Marks , JT and Page , SJ . 2003 . Motivating, Game-based Stroke Rehabilitation: A Brief Report . Top Stroke Rehabilitation , 10 : 134 – 140 .
   PubMedGoogle Scholar