Hybrid Assistive Limb Functional Treatment for a Patient with Chronic Incomplete Cervical Spinal Cord Injury

Soma, Yuichiro; Kuzuhara, Shigeki; Kadone, Hideki; Shimizu, Yoshiki; Takahashi, Hiroshi; Hada, Yasushi; Koda, Masao; Sankai, Yoshiyuki; Yamazaki, Masashi

doi:10.2147/imcrj.s306558

Cited by 8 publications

(6 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In another word, HAL technology utilises intention to make movements to precisely control exoskeletons and reproduce intended movements, known to enhance motor control functions and improve neurological disorders [53,54]. Ankle-HAL technology was developed for rehabilitation to focus on joint motion training by users' own neuro-signals, therefore not designed to directly assist active walking [55,56].…”

Section: Discussionmentioning

confidence: 99%

A Machine Learning Model for Predicting Critical Minimum Foot Clearance (MFC) Heights

Asogwa,

Nagano,

Sarashina

et al. 2023

Preprint

View full text Add to dashboard Cite

Tripping is the largest cause of falls and low swing foot ground clearance during the mid-swing phase, particularly at the critical gait event known as Minimum Foot Clearance (MFC) is the major risk factor for tripping-related falls. Intervention strategies to increase MFC height can be effective if applied in real-time based on feed-forward prediction. The current study investigated the capability of machine learning models to classify the MFC into various categories using toe-off kinematics data. Specifically, three MFC sub-categories (less than 1.5cm, between 1.5-2.0cm and higher than 2.0cm) were predicted applying machine learning approaches. A total of 18,490 swing phase gait cycles’ data were extracted from six healthy young adults, each walking for 5-minutes at a constant speed of 4km/h on a motorised treadmill. Both K-Nearest Neighbour (KNN) and Random-Forest were utilised for prediction based on the data from toe-off for five consecutive frames (0.025s duration). Foot kinematics data were obtained from inertial measurement unit attached to the mid-foot, recording tri-axial linear accelerations and angular velocities of the local coordinate. KNN and Random-Forest achieved 84% and 86% accuracy, respectively, in classifying MFC into the three sub-categories with run time of 0.39 seconds and 13.98 seconds respectively. The KNN-based model was found to be more effective if incorporated into an active exoskeleton as the intelligent system to control MFC based on the preceding gait event, toe-off due to its quicker computation time. The machine learning based prediction model shows promise for the prediction of critical MFC data indicating higher tripping risk.

show abstract

Section: Discussionmentioning

confidence: 99%

A Machine Learning Model for Predicting Critical Minimum Foot Clearance (MFC) Heights

Asogwa,

Nagano,

Sarashina

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The potential for gait training using HAL to improve the ability of patients with chronic severe incomplete tetraplegic SCI to walk was also shown. HAL motion-assistive technologies contributed to improvement in patient walking ability by facilitating proper joint motion and loading and unloading muscle movements (Soma et al, 2021).…”

Section: Rehabilitation Approaches For Chronic Spinal Cord Injurymentioning

confidence: 99%

Current Concepts of Neural Stem/Progenitor Cell Therapy for Chronic Spinal Cord Injury

Suzuki

Imajo

Funaba

et al. 2022

Front. Cell. Neurosci.

View full text Add to dashboard Cite

Chronic spinal cord injury (SCI) is a devastating condition that results in major neurological deficits and social burden. It continues to be managed symptomatically, and no real therapeutic strategies have been devised for its treatment. Neural stem/neural progenitor cells (NSCs/NPCs) being used for the treatment of chronic SCI in experimental SCI models can not only replace the lost cells and remyelinate axons in the injury site but also support their growth and provide neuroprotective factors. Currently, several clinical studies using NSCs/NPCs are underway worldwide. NSCs/NPCs also have the potential to differentiate into all three neuroglial lineages to regenerate neural circuits, demyelinate denuded axons, and provide trophic support to endogenous cells. This article explains the challenging pathophysiology of chronic SCI and discusses key NSC/NPC-based techniques having the greatest potential for translation over the next decade.

show abstract

“…There are various versions of HALs, such as a double-leg version 7) , single-leg version 8) , single-joint version (for a shoulder, elbow, or knee) [9][10][11] , and a version for hips 12) . Indeed, previous studies showed the benefits of HAL gait training in cases of spinal cord injury 13) , acute and chronic myelopathy 7,14,15) , spinal dural arteriovenous fistula 16) , and spinal cord infarction 17) . However, there have been no reports on the use of the ankle HAL in cases of peroneal nerve palsy, and its effectiveness in this regard has not been fully investigated.…”

Section: Introductionmentioning

confidence: 99%

Ankle dorsiflexion training with a newly developed Hybrid Assistive Limb for a patient with foot drop caused by common peroneal nerve palsy: a case report

Matsuda¹,

Kuzuhara

Akinaga³

et al. 2022

J Phys Ther Sci

Self Cite

View full text Add to dashboard Cite

An ankle disorder (foot drop) caused by common peroneal nerve palsy or cerebrovascular accident (stroke) interferes with patients' ability to walk and hinders in activities of daily living. A new robotic ankle, the Hybrid Assistive Limb, has been developed for the treatment of foot drop caused by common peroneal nerve palsy or sequelae of stroke. The purpose in this study was to report and examine the efficacy and feasibility of a case who was treated with voluntary ankle dorsiflexion training with the ankle Hybrid Assistive Limb. [Participant and Method] A 60-year-old man with foot drop due to peroneal nerve palsy that occurred without a contributory cause was treated via ankle dorsiflexion training with the use of a new robotic ankle, the "Ankle Hybrid Assistive Limb". [Results] Following total ankle rehabilitation training with the Ankle Hybrid Assistive Limb, improvements in ankle dorsiflexor strength, gait, and sensory function of the lower leg and foot were observed. [Conclusion] The newly developed ankle Hybrid Assistive Limb could be an effective training tool for foot drop caused by common peroneal nerve palsy.

show abstract

Hybrid Assistive Limb Functional Treatment for a Patient with Chronic Incomplete Cervical Spinal Cord Injury

Cited by 8 publications

References 18 publications

A Machine Learning Model for Predicting Critical Minimum Foot Clearance (MFC) Heights

A Machine Learning Model for Predicting Critical Minimum Foot Clearance (MFC) Heights

Current Concepts of Neural Stem/Progenitor Cell Therapy for Chronic Spinal Cord Injury

Ankle dorsiflexion training with a newly developed Hybrid Assistive Limb for a patient with foot drop caused by common peroneal nerve palsy: a case report

Contact Info

Product

Resources

About