SOPHIA: Soft Orthotic Physiotherapy Hand Interactive Aid

McConnell, Alistair C.; Vallejo, Marta; Moioli, Renan Cipriano; Brasil, Fabrício Lima; Secciani, Nicola; Nemitz, Markus P.; Riquart, Cecile P.; Corne, David; Vargas, Patrícia A.; Stokes, Adam A.

doi:10.3389/fmech.2017.00003

Cited by 23 publications

(26 citation statements)

References 55 publications

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“…Even though pneumatic actuation is heavily utilized in the field of soft robotics, the use of sensory feedback is still in its nascent stage. [197][198][199] To improve the combination of pneumatic actuators with stretchable strain sensors, a sensorized actuated glove has been developed to perform accurate finger kinematics with dexterity and control for rehabilitation applications. [200] In a similar study, Cheng et al demonstrated a pneumatic actuator with the capability of the bending angle monitoring using a hydrogel-based stretchable strain sensor (Figure 13b).…”

Section: Soft Robotics and Neuromechanicsmentioning

confidence: 99%

Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications

Souri¹,

Banerjee

Jusufi

et al. 2020

Advanced Intelligent Systems

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289

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Recent advances in the design and implementation of wearable resistive, capacitive, and optical strain sensors are summarized herein. Wearable and stretchable strain sensors have received extensive research interest due to their applications in personalized healthcare, human motion detection, human–machine interfaces, soft robotics, and beyond. The disconnection of overlapped nanomaterials, reversible opening/closing of microcracks in sensing films, and alteration of the tunneling resistance have been successfully adopted to develop high‐performance resistive‐type sensors. On the other hand, the sensing behavior of capacitive‐type and optical strain sensors is largely governed by their geometrical changes under stretching/releasing cycles. The sensor design parameters, including stretchability, sensitivity, linearity, hysteresis, and dynamic durability, are comprehensively discussed. Finally, the promising applications of wearable strain sensors are highlighted in detail. Although considerable progress has been made so far, wearable strain sensors are still in their prototype stage, and several challenges in the manufacturing of integrated and multifunctional strain sensors should be yet tackled.

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Section: Soft Robotics and Neuromechanicsmentioning

confidence: 99%

Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications

Souri¹,

Banerjee

Jusufi

et al. 2020

Advanced Intelligent Systems

Self Cite

404

289

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“…[26,103] In the area of rehabilitation, patients exhibiting reduction in sensation (e.g., as the result of stroke or injury) may benefit from the use of kinesthetic devices. [103,104] Most types of kinesthetic appliances are non-portable, which require placing the hands in bulky stirrups or take the form of gloves with large inflatable pneumatic attachments with their attendant pumps. [105][106][107][108] In this work, we developed a wearable, highly portable, composite of a textile and acrylic thermoplastic in a glove in which the stiffness could be changed by heating and cooling with embedded thermoelectric devices.…”

Section: Kinesthetic Simulation Using Organic Materialsmentioning

confidence: 99%

Organic Haptics: Intersection of Materials Chemistry and Tactile Perception

Lipomi

Dhong

Carpenter

et al. 2019

Adv Funct Materials

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The goal of the field of haptics is to create technologies that manipulate the sense of touch. In virtual and augmented reality, haptic devices are for touch what loudspeakers and RGB displays are for hearing and vision. Haptic systems that utilize micromotors or other miniaturized mechanical devices (e.g., for vibration and pneumatic actuation) produce interesting effects, but are quite far from reproducing the feeling of real materials. They are especially deficient in recapitulating surface This article is protected by copyright. All rights reserved. 2 properties: fine texture, friction, viscoelasticity, tack, and softness. The central argument of this progress report is that in order to reproduce the feel of everyday objects, molecular control must be established over the properties of materials and ultimately the design of materials which can change these properties in real time. Stimuli-responsive organic materials, such as polymers and composites, are a class of materials which can change their oxidation state, conductivity, shape, and rheological properties, and thus might be useful in future haptic technologies. Moreover, the use of such materials in research on tactile perception could help elucidate the limits of human tactile sensitivity. The work described represents the beginnings of this new area of inquiry, in which the defining approach is the marriage of materials science and psychology.

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“…Relacionado a lo anterior, SOPHIA (Soft Orthotic Physiotherapy Hand Interactive Aid) es un sistema de rehabilitación mediante extensión asistida, que monitorea los ejercicios del paciente y guia pasivamente el procedimiento, el cual puede ser usado de manera eficiente en pruebas clínicas futuras (McConnell et al, 2017).…”

Section: Aplicaciones Del Aprendizaje Automático En La Medicina Físicunclassified

Aprendizaje Automático en Aplicaciones Fisioterapéuticas

González-Islas

2019

ICBI

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El aprendizaje automático (AA) o aprendizaje máquina se centra en el desarrollo de sistemas de análisis que aprenden de datos existentes para predecir o agrupar datos futuros. El AA se ha desarrollado sustancialmente en años recientes en muchas áreas de la ciencia y de la ingeniería, siendo una de las de mayor interés el área de la medicina. En los ambientes médicos reales existe una gran cantidad de datos de naturaleza multivariable y multidimensional, que requieren analizarse para diagnóstico y tratamiento médico, lo que representa un área de oportunidad importante para el aprendizaje máquina. Este trabajo presenta una revisión de algunas de las aplicaciones más relevantes del aprendizaje automático, así como las tendencias y expectativas emergentes del mismo. Posteriormente, se hace una descripción de los trabajos más significativos del aprendizaje máquina aplicados a la medicina, haciendo especial énfasis en aplicaciones fisioterapéuticas. Finalmente, un tema de particular interés en el contexto de la medicina física es el análisis de la marcha, por lo que se hace una revisión de los trabajos realizados para dicho propósito.

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SOPHIA: Soft Orthotic Physiotherapy Hand Interactive Aid

Cited by 23 publications

References 55 publications

Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications

Wearable and Stretchable Strain Sensors: Materials, Sensing Mechanisms, and Applications

Organic Haptics: Intersection of Materials Chemistry and Tactile Perception

Aprendizaje Automático en Aplicaciones Fisioterapéuticas

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