Review: Hand Exoskeleton Systems, Clinical Rehabilitation Practices, and Future Prospects

Tran, Phillip; Jeong, Seokhwan; Herrin, Kinsey; Desai, Jaydev P.

doi:10.1109/tmrb.2021.3100625

Cited by 59 publications

(28 citation statements)

References 152 publications

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“…To date, as shown 1, there is no literature on SR devices designed for hand function recovery exclusively for people with SCI. There are some studies that include people with SCI together with other conditions [28,31,33], but those studies did not present functional outcomes separately, which limits the interpretation of the results and hampers the translation to clinical practice, specifically for people with spinal cord injury.…”

Section: Related Reviewsmentioning

confidence: 99%

Soft robotics and functional electrical stimulation advances for restoring hand function in people with SCI: a narrative review, clinical guidelines and future directions

Cardoso

Bochkezanian

Forner-Cordero

et al. 2022

J NeuroEngineering Rehabil

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Background Recovery of hand function is crucial for the independence of people with spinal cord injury (SCI). Wearable devices based on soft robotics (SR) or functional electrical stimulation (FES) have been employed to assist the recovery of hand function both during activities of daily living (ADLs) and during therapy. However, the implementation of these wearable devices has not been compiled in a review focusing on the functional outcomes they can activate/elicit/stimulate/potentiate. This narrative review aims at providing a guide both for engineers to help in the development of new technologies and for clinicians to serve as clinical guidelines based on the available technology in order to assist and/or recover hand function in people with SCI. Methods A literature search was performed in Scopus, Pubmed and IEEE Xplore for articles involving SR devices or FES systems designed for hand therapy or assistance, published since 2010. Only studies that reported functional outcomes from individuals with SCI were selected. The final collections of both groups (SR and FES) were analysed based on the technical aspects and reported functional outcomes. Results A total of 37 out of 1101 articles were selected, 12 regarding SR and 25 involving FES devices. Most studies were limited to research prototypes, designed either for assistance or therapy. From an engineering perspective, technological improvements for home-based use such as portability, donning/doffing and the time spent with calibration were identified. From the clinician point of view, the most suitable technical features (e.g., user intent detection) and assessment tools should be determined according to the particular patient condition. A wide range of functional assessment tests were adopted, moreover, most studies used non-standardized tests. Conclusion SR and FES wearable devices are promising technologies to support hand function recovery in subjects with SCI. Technical improvements in aspects such as the user intent detection, portability or calibration as well as consistent assessment of functional outcomes were the main identified limitations. These limitations seem to be be preventing the translation into clinical practice of these technological devices created in the laboratory.

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Section: Related Reviewsmentioning

confidence: 99%

Soft robotics and functional electrical stimulation advances for restoring hand function in people with SCI: a narrative review, clinical guidelines and future directions

Cardoso

Bochkezanian

Forner-Cordero

et al. 2022

J NeuroEngineering Rehabil

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“…Spinal cord injury (SCI) and stroke are two major neurological diseases that cause motor disorders of the upper and lower extremities, and the mobility of limbs varies according to the degree of injuries. Although some muscles may still function in some ways, this does not necessarily mean that they have direct control over the limb, which can limit activities of daily living (ADL) [1,2]. Extremity disability will severely affect the autonomy and quality of life as well as burden families and society [2].…”

Section: Introductionmentioning

confidence: 99%

“…Extremity disability will severely affect the autonomy and quality of life as well as burden families and society [2]. It has been demonstrated that beginning inpatient rehabilitation interventions as soon as the injury occurs will make them more conducive to comprehensive functional recovery [1].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Exoskeleton Suit in Clinical and Home Use

Xu¹

2023

HSET

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The two most common causes of immobility that cause significant problems in everyday life are SCI and stroke. Recent research suggests that robotic exoskeletons may be able to help patients regain their motor function. This paper will evaluate existing exoskeleton suits, compare their functionality, and analyse their benefits and drawbacks compared to conventional rehabilitation equipment. It will also discuss the challenges it is encountering. It is discovered that the exoskeleton suit still requires more useable applications and precise design to meet clinical and domestic use.

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“…Exoskeleton robots for assistance of lower limbs can increase the convenience of human daily life. Exoskeletons of lower limbs have extremely important applications in the industrial, (1,2) military, (3,4) and medical (5,6) fields. The core problem of the exoskeleton robots used for assistance is predicting the position of the exoskeleton joint by recognizing the wearer's intended motion.…”

Section: Introductionmentioning

confidence: 99%

Human Motion Mode Recognition Based on Multi-parameter Fusion of Wearable Inertial Module Unit and Flexible Pressure Sensor

Zuyi¹,

Zheng²,

Liu³

2022

Sensors and Materials

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Aiming at the rapid recognition of human motion modes required in the intelligent control algorithm of exoskeleton robots, in this paper, on the basis of the characteristics of inertial data and pressure data collected by smart terminals carried by pedestrians, a dynamic block matching algorithm based on kinematics (DBMK) using motion mode recognition is proposed. This algorithm involves signal extraction and motion feature matching discrimination. More specifically, it first uses the method of periodic signal capture in adaptive motion mode to capture the heel touch event from the signal collected by a flexible pressure sensor mounted on the heel, and extracts the corresponding periodic signal. Finally, the DBMK algorithm uses a self-made lower limb motion information acquisition system to obtain human motion angle data. After kinematics preprocessing, the distance correlation coefficient based on Pearson weight proposed in this paper is used to identify the current human motion model category. The DBMK algorithm was used to identify five common human motion modes from the output data of inertial module units and flexible pressure sensors, and experimental results show that the proposed DBMK algorithm has an accuracy of 90.86% for the recognition of the five common motion modes.

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Review: Hand Exoskeleton Systems, Clinical Rehabilitation Practices, and Future Prospects

Cited by 59 publications

References 152 publications

Soft robotics and functional electrical stimulation advances for restoring hand function in people with SCI: a narrative review, clinical guidelines and future directions

Soft robotics and functional electrical stimulation advances for restoring hand function in people with SCI: a narrative review, clinical guidelines and future directions

Analysis of Exoskeleton Suit in Clinical and Home Use

Human Motion Mode Recognition Based on Multi-parameter Fusion of Wearable Inertial Module Unit and Flexible Pressure Sensor

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