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1.
J Neuroeng Rehabil ; 4: 3, 2007 Feb 19.
Article in English | MEDLINE | ID: mdl-17309790

ABSTRACT

BACKGROUND: Motivation is an important factor in rehabilitation and frequently used as a determinant of rehabilitation outcome. Several factors can influence patient motivation and so improve exercise adherence. This paper presents the design of two robot devices for use in the rehabilitation of upper limb movements, that can motivate patients during the execution of the assigned motor tasks by enhancing the gaming aspects of rehabilitation. In addition, a regular review of the obtained performance can reinforce in patients' minds the importance of exercising and encourage them to continue, so improving their motivation and consequently adherence to the program. In view of this, we also developed an evaluation metric that could characterize the rate of improvement and quantify the changes in the obtained performance. METHODS: Two groups (G1, n = 8 and G2, n = 12) of patients with chronic stroke were enrolled in a 3-week rehabilitation program including standard physical therapy (45 min. daily) plus treatment by means of robot devices (40 min., twice daily) respectively for wrist (G1) and elbow-shoulder movements (G2). Both groups were evaluated by means of standard clinical assessment scales and the new robot measured evaluation metric. Patients' motivation was assessed in 9/12 G2 patients by means of the Intrinsic Motivation Inventory (IMI) questionnaire. RESULTS: Both groups reduced their motor deficit and showed a significant improvement in clinical scales and the robot measured parameters. The IMI assessed in G2 patients showed high scores for interest, usefulness and importance subscales and low values for tension and pain subscales. CONCLUSION: Thanks to the design features of the two robot devices the therapist could easily adapt training to the individual by selecting different difficulty levels of the motor task tailored to each patient's disability. The gaming aspects incorporated in the two rehabilitation robots helped maintain patients' interest high during execution of the assigned tasks by providing feedback on performance. The evaluation metric gave a precise measure of patients' performance and thus provides a tool to help therapists promote patient motivation and hence adherence to the training program.


Subject(s)
Motor Skills Disorders/rehabilitation , Physical Therapy Modalities/instrumentation , Stroke Rehabilitation , Aged , Aged, 80 and over , Arm , Equipment Design , Humans , Male , Middle Aged , Motivation , Motor Skills Disorders/etiology , Patient Compliance , Robotics , Stroke/complications , Task Performance and Analysis
2.
IEEE Trans Biomed Eng ; 53(11): 2373-86, 2006 Nov.
Article in English | MEDLINE | ID: mdl-17073344

ABSTRACT

Several neural interfaces have been developed to control neuroprostheses and hybrid bionic systems. Among them, intraneural electrodes are very promising because they represent an interesting trade-off between the needs for high selectivity and for reduced invasiveness. However, in most of the cases, no particular attention has been devoted so far to the design of these systems starting from the mechanical properties of the system to be interfaced. The aim of this paper was to study and characterize in a quantitative way the piercing of peripheral nervous tissue in order to gather useful information to design intraneural interfaces able to reduce (as much as possible) the damages provoked by this task. In particular, attention has been paid to determine the values of force and pressure to carry out the piercing task in different velocity conditions. From the experimental data it was possible to characterize indirectly the tissue sinking under the needle tip. For each experimental velocity (ranging from 1 to 2000 mm/min) a threshold, under which the tissue cannot be pierced, has been calculated. The force magnitude required for piercing was shown to be in the range 0.3-25 mN for the different velocities. Moreover, differences between piercing carried out at very low velocity (multi-piercing) and at low velocity (mono-piercing) have been characterized and correlated with the physical characteristics of the nervous tissue. Experimental data have been integrated with a theoretical analysis of the neural interfaces piercing structures. The problem of buckling, representing for these structures the main cause of tissue piercing impossibility, has been analyzed. The nonlinear theoretical model allows to compare different needle geometries and materials with regard to piercing possibility at different velocities. Moreover, an optimization of piercing elements geometry with regard to amount of used material and space has been provided.


Subject(s)
Biomechanical Phenomena/methods , Electrodes, Implanted , Models, Neurological , Needles , Prosthesis Implantation/methods , Sciatic Nerve/physiology , Animals , Computer Simulation , Elasticity , Hardness , In Vitro Techniques , Stress, Mechanical , Swine
3.
IEEE Trans Neural Syst Rehabil Eng ; 13(3): 311-24, 2005 Sep.
Article in English | MEDLINE | ID: mdl-16200755

ABSTRACT

This paper presents two robot devices for use in the rehabilitation of upper limb movements and reports the quantitative parameters obtained to characterize the rate of improvement, thus allowing a precise monitoring of patient's recovery. A one degree of freedom (DoF) wrist manipulator and a two-DoF elbow-shoulder manipulator were designed using an admittance control strategy; if the patient could not move the handle, the devices completed the motor task. Two groups of chronic post-stroke patients (G1 n = 7, and G2 n = 9) were enrolled in a three week rehabilitation program including standard physical therapy (45 min daily) plus treatment by means of robot devices, respectively, for wrist and elbow-shoulder movements (40 min, twice daily). Both groups were evaluated by means of standard clinical assessment scales and a new robot measured evaluation metrics that included an active movement index quantifying the patient's ability to execute the assigned motor task without robot assistance, the mean velocity, and a movement accuracy index measuring the distance of the executed path from the theoretic one. After treatment, both groups improved their motor deficit and disability. In G1, there was a significant change in the clinical scale values (p < 0.05) and range of motion wrist extension (p < 0.02). G2 showed a significant change in clinical scales (p < 0.01), in strength (p < 0.05) and in the robot measured parameters (p < 0.01). The relationship between robot measured parameters and the clinical assessment scales showed a moderate and significant correlation (r > 0.53 p < 0.03). Our findings suggest that robot-aided neurorehabilitation may improve the motor outcome and disability of chronic post-stroke patients. The new robot measured parameters may provide useful information about the course of treatment and its effectiveness at discharge.


Subject(s)
Diagnosis, Computer-Assisted/methods , Motion Therapy, Continuous Passive/methods , Paresis/diagnosis , Paresis/rehabilitation , Robotics/methods , Stroke Rehabilitation , Stroke/diagnosis , Therapy, Computer-Assisted/methods , Aged , Chronic Disease , Female , Humans , Male , Middle Aged , Motor Skills , Paresis/etiology , Physical Examination/methods , Physical Stimulation/methods , Stroke/complications , Upper Extremity/physiopathology
4.
IEEE Trans Biomed Eng ; 52(6): 1110-9, 2005 Jun.
Article in English | MEDLINE | ID: mdl-15977740

ABSTRACT

The main goal of this paper is to study the feasibility of a novel implantable micro-system able to record information about tendon sliding movements by using contactless measurement devices (magnetic sources and sensors). The system, named "Biomechatronic Position Transducer" (BPT), can be used for the implementation of advanced control strategies in neuroprostheses. After a preliminary analysis based on finite element model simulations, an experimental setup was developed in order to simulate the recording conditions (the sensors fixed to the bones and the magnetic sources placed on the tendons). In order to limit the number of implanted components of the system, a fuzzy Mamdani-like architecture was developed to extract the information from the raw data. The results confirm the possibility of using the presented approach for developing an implantable micro-sensor able to extract kinematic information useful for the control of neuroprostheses. Future works will go in the direction of integrating and testing the sensors and the electronic circuitry (to provide power supply and to record the data) during in vitro and in situ experiments.


Subject(s)
Biomechanical Phenomena/instrumentation , Magnetics/instrumentation , Models, Biological , Movement/physiology , Prostheses and Implants , Tendons/physiology , Transducers , Computer Simulation , Computer-Aided Design , Diagnosis, Computer-Assisted/instrumentation , Diagnosis, Computer-Assisted/methods , Electronics, Medical , Equipment Failure Analysis , Feasibility Studies , Humans , Prosthesis Design
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