An EMG-Controlled Exoskeleton for Hand Rehabilitation

Mulas, Maria Gabriella; Folgheraiter, Michele; Gini, Giuseppina

doi:10.1109/icorr.2005.1501122

Cited by 168 publications

(103 citation statements)

References 1 publication

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“…The BiManu-Track focuses on the distal upper limb (forearm and wrist) [12], as does a recent extension of the MITManus robotic device for training of wrist movements [20]. New robotic devices and evolutions of existing devices are continuously being designed (e.g., Furusho et al [21] and Colombo et al [22]) and include several systems for training hand movements (e.g., the force feedback glove of Merians et al [23] and the devices of Kline et al [24] and Mulas et al [25]). …”

Section: Introductionmentioning

confidence: 99%

Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke

Prange

Jannink²,

Groothuis-Oudshoorn³

et al. 2006

JRRD

830

450

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Abstract-A limited number of clinical studies have examined the effect of poststroke rehabilitation with robotic devices on hemiparetic arm function. We systematically reviewed the literature to assess the effect of robot-aided therapy on stroke patients' upper-limb motor control and functional abilities. Eight clinical trials were identified and reviewed. For four of these studies, we also pooled short-term mean changes in FuglMeyer scores before and after robot-aided therapy. We found that robot-aided therapy of the proximal upper limb improves short-and long-term motor control of the paretic shoulder and elbow in subacute and chronic patients; however, we found no consistent influence on functional abilities. In addition, robotaided therapy appears to improve motor control more than conventional therapy.

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Section: Introductionmentioning

confidence: 99%

Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke

Prange

Jannink²,

Groothuis-Oudshoorn³

et al. 2006

JRRD

830

450

View full text Add to dashboard Cite

show abstract

“…11) which is also controlled by EMG signals [24]. This is mainly developed for hand rehabilitation where people have partially lost the ability to correctly control their hand movements.…”

Section: Emg Based Controlled Exoskeleton For Hand Rehabilitationmentioning

confidence: 99%

“…Here EMG based control methods are categorized in detail, based on the structure of the controller algorithm, as pattern recognition based controls and non-pattern recognition based controls. Most of available control methodologies used with assistive robots are pattern recognition based controls [18,19,24,26,27]. The control methods belonging to non-pattern recognition based controls [28][29][30] are rare.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, DEKA Arm [21], Saga Prosthetic Arm [22], and Manus Hand [23] are some of the available prosthetic devices with EMG based controlling. Many researchers from different institutions have been working on EMG based control methods over several decades and their contribution has greatly influenced a new era of EMG based control of assistive robots [5,24,25].…”

Section: Introductionmentioning

confidence: 99%

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Recent Trends in EMG-Based Control Methods for Assistive Robots

Gopura¹,

Bandara²,

Gunasekara³

et al. 2013

Electrodiagnosis in New Frontiers of Clinical Research

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“…Some studies show the potential of using haptic devices and instrumented solutions as rehabilitation devices [2]. To accomplish this rehabilitation process, it is necessary to provide devices that enable registering and monitoring the patients' condition.…”

Section: Introductionmentioning

confidence: 99%

Data Acquisition Glove for Hand Movement Impairment Rehabilitation

2016

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Abstract-The present paper describes a data acquisition wearable device for hand rehabilitation. The main goal of this glove is to be used by patients with hand movement impairment. It has position sensors to measure the bending of synovial joints and sensors to measure the fingertip contact pressure. There is a coin motor and a LED placed on each finger to produce a vibratory and visual stimulus. The glove also tracks the hand rotation and translation using a MPU (Motion Processing Unit) that contains an accelerometer and a gyroscope. A graphical application for an HMI module was developed in order to create rehabilitation game-like exercises where sensor data can be logged for further analysis by a therapist. The wearable device electronic hardware comprises a Glove module and an HMI module that communicate through SPI protocol (Serial Peripheral Interface). The wearable device supports USB connection to send data to a computer or to be used as a peripheral device in virtual or augmented reality applications.

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An EMG-Controlled Exoskeleton for Hand Rehabilitation

Cited by 168 publications

References 1 publication

Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke

Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke

Recent Trends in EMG-Based Control Methods for Assistive Robots

Data Acquisition Glove for Hand Movement Impairment Rehabilitation

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