Preliminary Validation of a Device for the Upper and Lower Limb Robotic Rehabilitation

Objective: Robotic devices are commonly used in rehabilitation as support to physiotherapists in their daily rehabilitation activities, since they can monitor and quantify the subject's performance and deliver feedback, as well as supply physical therapy. This work aims at performing a preliminary validation of an innovative device, developed within the SIMeRiON funded project, and identifying the optimal experimental setup for the clinical trials, through the analysis of the characteristics of a planar reaching movement impressed to the upper limb of the subject in a sequence of repetitions. Methods: A male healthy subject (26 years old) has been recruited, and asked to perform an imposed reaching movement with his left arm, during three consecutive sessions. The subject was instrumented with two triaxial accelerometers, placed in two possible configurations, and eight passive optical markers evaluated with a two fixed cameras optoelectronic system. To identify and compare different motion cycles, the collected data have been analyzed in MATLAB and R environment. Results: Data emphasize a high repeatability of the imposed movement, especially at human-machine interface, and suggest that accelerometers data could be integrated with different sensors (e.g. sEMG sensors).

[1]  Marcia Kilchenman O'Malley,et al.  Design, Control and Performance of RiceWrist: A Force Feedback Wrist Exoskeleton for Rehabilitation and Training , 2008, Int. J. Robotics Res..

[2]  Mauro Serpelloni,et al.  Use of Wearable Inertial Sensor in the Assessment of Timed-Up-and-Go Test: Influence of Device Placement on Temporal Variable Estimation , 2016, MobiHealth.

[3]  Toshiyo Tamura,et al.  Fractal dynamics of body motion in patients with Parkinson's disease , 2004, Journal of neural engineering.

[4]  L. Der-Yeghiaian,et al.  Robot-based hand motor therapy after stroke. , 2007, Brain : a journal of neurology.

[5]  Alberto Borboni,et al.  Parallel Robot for Lower Limb Rehabilitation Exercises , 2016, Applied bionics and biomechanics.

[6]  J W Błaszczyk,et al.  Postural stability and fractal dynamics. , 2001, Acta neurobiologiae experimentalis.

[7]  J. B. J. Bussmann,et al.  Measuring daily behavior using ambulatory accelerometry: The Activity Monitor , 2001, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[8]  M Akay,et al.  Fractal dynamics of body motion in post-stroke hemiplegic patients during walking , 2004, Journal of neural engineering.

[9]  Silvestro Micera,et al.  MUNDUS project: MUltimodal Neuroprosthesis for daily Upper limb Support , 2013, Journal of NeuroEngineering and Rehabilitation.

[10]  Alberto Borboni,et al.  Robotics rehabilitation of the elbow based on surface electromyography signals , 2018 .

[11]  W. Rymer,et al.  Robotic Devices for Movement Therapy After Stroke: Current Status and Challenges to Clinical Acceptance , 2002, Topics in stroke rehabilitation.

[12]  N. Hogan,et al.  Robot-aided neurorehabilitation. , 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[13]  Junji Furusho,et al.  Development of isokinetic and iso-contractile exercise machine “MEM-MRB” using MR brake , 2009, 2009 IEEE International Conference on Rehabilitation Robotics.

[14]  Jay L Alberts,et al.  Effects of combined robotic therapy and repetitive-task practice on upper-extremity function in a patient with chronic stroke. , 2008, The American journal of occupational therapy : official publication of the American Occupational Therapy Association.

[15]  W. Saeys,et al.  Feasibility and effectiveness of repetitive gait training early after stroke: A systematic review and meta-analysis. , 2019, Journal of rehabilitation medicine.

[16]  J. J. Gil,et al.  Lower-Limb Robotic Rehabilitation: Literature Review and Challenges , 2011, J. Robotics.

[17]  F.C.T. van der Helm,et al.  Kinematic Design to Improve Ergonomics in Human Machine Interaction , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[18]  G. Legnani,et al.  A homogeneous matrix approach to 3D kinematics and dynamics — I. Theory , 1996 .

[19]  C. Sparrow The Fractal Geometry of Nature , 1984 .

[20]  M.J. Johnson,et al.  Feasibility of integrating FES grasp assistance with a task-oriented robot-assisted therapy environment: A case study , 2008, 2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.

[21]  S. Leonhardt,et al.  A survey on robotic devices for upper limb rehabilitation , 2014, Journal of NeuroEngineering and Rehabilitation.

[22]  H.F.V. Boshoff A fast box counting algorithm for determining the fractal dimension of sampled continuous functions , 1992, Proceedings of the 1992 South African Symposium on Communications and Signal Processing.

[23]  Ming-Shaung Ju,et al.  Design of a forearm rehabilitation robot , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.

[24]  K Aminian,et al.  Multi-parametric evaluation of sit-to-stand and stand-to-sit transitions in elderly people. , 2011, Medical engineering & physics.

[25]  R. Siezen,et al.  others , 1999, Microbial Biotechnology.

[26]  余虹仪,et al.  Physical exercise machine , 2011 .

[27]  Roberto Bussola,et al.  Innovative Mechanical Devices as Servo-system Components for Automation , 2003, Modelling, Identification and Control.