Primary sensory and motor cortex activities during voluntary and passive ankle mobilization by the SHADE orthosis

Pittaccio, Simone; Zappasodi, Filippo; Viscuso, Stefano; Mastrolilli, Francesca; Ercolani, Matilde; Passarelli, Francesco; Molteni, Franco; Besseghini, S.; Rossini, Paolo Maria; Tecchio, Franca

doi:10.1002/hbm.20998

Cited by 26 publications

(38 citation statements)

References 43 publications

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“…Some authors [31][32][33][34][35][36][37][38][39][40][41] investigated the possibility of employing SMA to make portable or wearable devices to act as functional exercising robots.…”

Section: Functional Exercisementioning

confidence: 99%

“…Other papers [35][36][37][38][39][40][41] concentrated on the lower limb. In [35], a concept for a paediatric boot is described.…”

Section: Functional Exercisementioning

confidence: 99%

“…In the intention of the authors, a control system would activate two NiTi wires producing slow movement of the ankle and provide the possibility for home passive mobilisation. Two different implementations of a wearable ankle mobiliser were published by another group [36][37][38][39][40][41]. In the first paper [36] a description of the design procedure is presented, including mechanical and power dimensioning of SMA linear actuators based upon biomechanical considerations.…”

Section: Functional Exercisementioning

confidence: 99%

“…SMA actuators have found little application in this field as yet: only two examples of SMAbased devices for use in Neuroscience were identified in the literature [37][38][39][40][41]. These publications describe a linear and a rotary actuator designed to comply with electromagnetic noise constraints, and be compatible in particular with MEG and fMRI.…”

Section: Neurosciencementioning

confidence: 99%

See 3 more Smart Citations

Shape Memory Actuators for Medical Rehabilitation and Neuroscience

Pittaccio¹,

Viscuso²

2012

Smart Actuation and Sensing Systems - Recent Advances and Future Challenges

Self Cite

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“…Some authors [31][32][33][34][35][36][37][38][39][40][41] investigated the possibility of employing SMA to make portable or wearable devices to act as functional exercising robots.…”

Section: Functional Exercisementioning

confidence: 99%

“…Other papers [35][36][37][38][39][40][41] concentrated on the lower limb. In [35], a concept for a paediatric boot is described.…”

Section: Functional Exercisementioning

confidence: 99%

Section: Functional Exercisementioning

confidence: 99%

Section: Neurosciencementioning

confidence: 99%

See 2 more Smart Citations

Shape Memory Actuators for Medical Rehabilitation and Neuroscience

Pittaccio¹,

Viscuso²

2012

Smart Actuation and Sensing Systems - Recent Advances and Future Challenges

Self Cite

View full text Add to dashboard Cite

“…Further studies on EEG [12] and MEG data [13] were also reported on voluntary and passive movement of the foot. These studies also revealed that the performance of motor imagery induced both ERD and ERS patterns in the mu rhythms [14] whereas passive movement induced ERS patterns in the beta rhythms [8], [9], [12].…”

Section: Introductionmentioning

confidence: 99%

Calibrating EEG-based motor imagery brain-computer interface from passive movement

Ang

Guan

Wang

et al. 2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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EEG data from performing motor imagery are usually collected to calibrate a subject-specific model for classifying the EEG data during the evaluation phase of motor imagery Brain-Computer Interface (BCI). However, there is no direct objective measure to determine if a subject is performing motor imagery correctly for proper calibration. Studies have shown that passive movement, which is directly observable, induces Event-Related Synchronization patterns that are similar to those induced from motor imagery. Hence, this paper investigates the feasibility of calibrating EEG-based motor imagery BCI from passive movement. EEG data of 12 healthy subjects were collected during motor imagery and passive movement of the hand by a haptic knob robot. The calibration models using the Filter Bank Common Spatial Pattern algorithm on the EEG data from motor imagery were compared against using the EEG data from passive movement. The performances were compared based on the 10×10-fold cross-validation accuracies of the calibration data, and off-line session-to-session transfer kappa values to other sessions of motor imagery performed on another day. The results showed that the calibration performed using passive movement yielded higher model accuracy and off-line session-to-session transfer (73.6% and 0.354) than the calibration performed using motor imagery (71.3% and 0.311), and no significant differences were observed between the two groups (p=0.20, 0.23). Hence, this study shows that it is feasible to calibrate EEG-based motor imagery BCI from passive movement.

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Soft Wearable Rehabilitation Robots with Artificial Muscles based on Smart Materials: A Review

Gonzalez-Vazquez

Garcia

Kilby

et al. 2023

Advanced Intelligent Systems

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During the past decade, wearable devices such as exoskeletons have gained popularity [1] in different fields, such as the military, [2] industry, [3] and rehabilitation. [4] In the latter, rehabilitation exoskeletons are used to restore or maintain the functionality and mobility of people with physical disabilities. [5] These are receiving greater attention as the number of people with disabilities affecting physical performance will increase in the following decades as the population ages and individuals live longer with noncommunicable conditions (e.g., cerebral palsy, stroke, acquired brain injuries, and muscular dystrophies). [6][7][8] Most current exoskeletons use electric motors and rigid links to realize actuation and often have heavy and bulky designs that are difficult to safely wear outside clinical facilities. [9] Hence, researchers in this area are working to develop soft wearable rehabilitation robots (SWRRs), featuring soft actuators that are agreeable to the users as they have increased compliance, adaptability, comfort, safety, and less weight. [10][11][12] Currently, SWRR relies mainly upon two soft robotic technologies, cable-driven and fluidic actuators. For a cable-driven system, the wire is embedded into clothes or tubes and attached to an anchor point. The other side of the wire is connected to an electric motor to generate the desired movement and force by pulling the cable [13,14] (Figure 1a). Alternatively, in fluidic actuation (Hydraulic/Pneumatic), a pressurized fluid is inserted into a chamber made of highly deformable material to generate a displacement [11,15,16] (Figure 1b). However, these require large and heavy external pumps and valves to compress the fluid. [17] Unfortunately, cable-driven and fluidic actuation need cumbersome components (e.g., electric motors, pumps, and valves) to work, compromising the portability of the systems when used in daily life. [18] Therefore, in recent years, research has been committed to developing new actuator technologies that can overcome the drawbacks of the current actuators used in SWRR. These technologies include artificial muscles based on smart materials (AMSMs). AMSMs are soft actuators composed primarily of material with a low Young's modulus similar to that of soft biological materials (10 ^4-10 ^9 Pa) that can sense and directly convert physical stimulus (e.g., light, electrical, heat) into physical displacement. [19][20][21][22][23] Some examples of smart materials are shape-memory alloy (SMA), [24] dielectric elastomer actuators (DEAs), [25] ionic polymer-metal composites (IPMC), [26] shapememory polymers (SMPs), [27] and twisted and coiled polymer actuators (TCPs). [28] Due to their inherent properties and manufacturing processes, AMSM can be fabricated in various shapes, allowing them to be embedded into flexible and deformable wearable devices. [29][30][31][32] Furthermore, it is possible to fabricate robots with a relatively small weight and volume as they present a power density comparable to the skeletal muscles. [33] Neverthe...

show abstract

Primary sensory and motor cortex activities during voluntary and passive ankle mobilization by the SHADE orthosis

Cited by 26 publications

References 43 publications

Shape Memory Actuators for Medical Rehabilitation and Neuroscience

Shape Memory Actuators for Medical Rehabilitation and Neuroscience

Calibrating EEG-based motor imagery brain-computer interface from passive movement

Soft Wearable Rehabilitation Robots with Artificial Muscles based on Smart Materials: A Review

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