Use of the Leap Motion Controller® System in the Rehabilitation of the Upper Limb in Stroke. A Systematic Review

Aguilera-Rubio, Ángela; Alguacil-Diego, Isabel M.; Mallo-López, Ana; Cuesta-Gómez, Alicia

doi:10.1016/j.jstrokecerebrovasdis.2021.106174

Cited by 33 publications

(16 citation statements)

References 26 publications

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“…Knowing that improvements in the UE in stroke patients are not only limited to the first months, but appear even after many years of evolution [ 40 , 42 ], together with the lack of literature found on the use of LMC in chronic patients [ 44 ], and the difficulty of accessing rehabilitation services in these phases, justify the need for studies of these characteristics.…”

Section: Discussionmentioning

confidence: 99%

“…No quality of life questionnaire was used in previous studies, and although in our research we analyzed the general quality of life questionnaire SF-36, perhaps, as no significant changes were observed, it may be necessary in future trials to add specific quality of life questionnaires analyzing quality of life in relation to the UE. Even so, it is necessary to take into account the lack of consensus in all these studies, in terms of time and dose of treatment, complementary use or not to other therapy, as well as common criteria for quantifying the degree of dysfunctionality of the UE to serve as a starting point [ 44 ].…”

Section: Discussionmentioning

confidence: 99%

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Feasibility and Efficacy of a Virtual Reality Game-Based Upper Extremity Motor Function Rehabilitation Therapy in Patients with Chronic Stroke: A Pilot Study

Aguilera-Rubio

Cuesta-Gómez

Mallo-López

et al. 2022

IJERPH

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Background: The objective of the present study was to develop a virtual reality protocol based on activities of daily living and conventional rehabilitation, using Leap Motion Controller to improve motor function in upper extremity rehabilitation in stroke patients. At the same time, the purpose was to explore its efficacy in the recovery of upper extremity motor function in chronic stroke survivors, and to determine feasibility, satisfaction and attendance rate; Methods: A prospective pilot experimental clinical trial was conducted. The outcome measures used were the grip strength, the Action Research Arm Test (ARAT), the Block and Box Test (BBT), the Short Form Health Survey-36 Questionnaire, a satisfaction questionnaire and attendance rate; Results: Our results showed statistically significant changes in the variables grip strength, BBT and ARAT as well as high levels of satisfaction and attendance; Conclusions: This virtual reality platform represents an effective tool in aspects of upper extremity functionality rehabilitation in patients with chronic stroke, demonstrating feasibility and high levels of attendance and satisfaction.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Feasibility and Efficacy of a Virtual Reality Game-Based Upper Extremity Motor Function Rehabilitation Therapy in Patients with Chronic Stroke: A Pilot Study

Aguilera-Rubio

Cuesta-Gómez

Mallo-López

et al. 2022

IJERPH

Self Cite

View full text Add to dashboard Cite

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“…In the case of AR, this simulation directly overlays the real world, providing computer-generated perceptual information that complements our view of the surrounding environment. Examples of applications of these technologies to a wide range of motor pathologies can be found in a variety of studies which include approaches with virtual environments [ 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ], immersive environments using head-mounted devices [ 40 , 41 , 42 , 43 , 44 ] or the more recent use of AR [ 45 , 46 , 47 , 48 , 49 , 50 ].…”

Section: Discussionmentioning

confidence: 99%

ARMIA: A Sensorized Arm Wearable for Motor Rehabilitation

et al. 2022

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In this paper, we present ARMIA: a sensorized arm wearable that includes a combination of inertial and sEMG sensors to interact with serious games in telerehabilitation setups. This device reduces the cost of robotic assistance technologies to be affordable for end-users at home and at rehabilitation centers. Hardware and acquisition software specifications are described together with potential applications of ARMIA in real-life rehabilitation scenarios. A detailed comparison with similar medical technologies is provided, with a specific focus on wearable devices and virtual and augmented reality approaches. The potential advantages of the proposed device are also described showing that ARMIA could provide similar, if not better, the effectivity of physical therapy as well as giving the possibility of home-based rehabilitation.

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“…One of the interfaces that have demonstrated versatility to control multiple systems is the Leap Motion (LM) sensor [20], [21], [22], [23], [24], [25], [26]. This is a motion sensor that allows us to acquire and interpret gestures that we make with our hands in the workspace captured by the device.…”

Section: Introductionmentioning

confidence: 99%

Optimal Signal Processing for Steady Control of a Robotic Arm Suppressing Hand Tremors for EOD Applications

Chilo

Ccari

Supo³

et al. 2023

IEEE Access

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Teleoperated robotics in recent years has proven to be valuable support in EOD tasks; a remarkable improvement in the systems that control these robots has been the Natural User Interfaces (NUI); however, the research that implements this type of system does not focus on the stability of the robotic arm movements, necessary for this type of applications due to the danger of working with explosives. In this paper, we propose the implementation of an Optimal Signal Processing for a NUI interface based on the Leap Motion (LM) controller. The main objective of this research is to correctly identify the intentional movements of the operator, achieve high stability of the robotic gripper and suppress the physiological tremors from the hand of the operator, considering not to increase the mental workload and not decrease the usability of the system. The signal processing proposed in this paper is composed of three filtering algorithms: Kalman, FIR, and moving average with a threshold. In addition, the obtained results are compared with the most representative processing of recent research using LM for robotic arm control. To evaluate and validate the proposed signal processing, a target path tracking test, a stability analysis of the robotic gripper, and a performance analysis in the execution of Pick and Place tasks, NASA-TLX and SUS questionnaires are developed. Finally, the proposed Optimal Signal processing is implemented in the DOBOT-MAGICIAN and tested by police officers of the EOD Unit-Arequipa (UDEX-AQP); the results indicate a reduction of the average Vibration of 31.61% and the Target Path Tracking error of 67.57%.

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Use of the Leap Motion Controller® System in the Rehabilitation of the Upper Limb in Stroke. A Systematic Review

Cited by 33 publications

References 26 publications

Feasibility and Efficacy of a Virtual Reality Game-Based Upper Extremity Motor Function Rehabilitation Therapy in Patients with Chronic Stroke: A Pilot Study

Feasibility and Efficacy of a Virtual Reality Game-Based Upper Extremity Motor Function Rehabilitation Therapy in Patients with Chronic Stroke: A Pilot Study

ARMIA: A Sensorized Arm Wearable for Motor Rehabilitation

Optimal Signal Processing for Steady Control of a Robotic Arm Suppressing Hand Tremors for EOD Applications

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