Engagement-sensitive interactive neuromuscular electrical therapy system for post-stroke balance rehabilitation - a concept study

Kumar, Deepesh; Aggarwal, Gorish; Sehgal, Rishabh; Das, Abhijit; Lahiri, Uttama; Dutta, Anirban

doi:10.1109/ner.2015.7146592

Cited by 5 publications

(4 citation statements)

References 21 publications

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“…In our previous work we presented a low-cost VR-based rehabilitation exercise platform developed as a proof-of-concept application. 9 The difficulty level of the presented task can be decided based on the task conditions of the VR-based tasks. As shown in right panel of fig 2, in DL1, the task required the participant to shift weight in the instructed direction (namely North, East,South and West), while moving a virtual object in the VR environment to a predefined position and then hold the object in that position for one second.…”

Section: Methodsmentioning

confidence: 99%

Engagement sensitive visual stimulation

et al. 2016

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Stroke is one of leading cause of death and disability worldwide. Early detection during golden hour and treatment of individual neurological dysfunction in stroke using easy-to-access biomarkers based on a simple-to-use, cost-effective, clinically-valid screening tool can bring a paradigm shift in healthcare, both urban and rural. In our research we have designed a quantitative automatic home-based oculomotor assessment tool that can play an important complementary role in prognosis of neurological disorders like stroke for the neurologist. Once the patient has been screened for stroke, the next step is to design proper rehabilitation platform to alleviate the disability. In addition to the screening platform, in our research, we work in designing virtual reality based rehabilitation exercise platform that has the potential to deliver visual stimulation and in turn contribute to improving one’s performance.

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Section: Methodsmentioning

confidence: 99%

Engagement sensitive visual stimulation

et al. 2016

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“…Observation of electrocortical activity related to walking gait-cycle and balancing experiments has been reported in Presacco et al ( 2011b ). Electrocortical activity resulting from gait-like movements and balancing with treadmill, Erigo R tilt table, and customized stationary bicycle with rigid reclined backboard (as pedaling device) have been discussed in Wieser et al ( 2010 ), Gwin et al ( 2011 ), Presacco et al ( 2011a ), Jain et al ( 2013 ), Petrofsky and Khowailed ( 2014 ), Bulea et al ( 2015 ), Kumar et al ( 2015 ), and Liu et al ( 2015 ).…”

Section: User Adaptability and Eeg Signal Acquisitionmentioning

confidence: 99%

“…The importance of cortical activation upon motor imagery (MI) of locomotor tasks has been reported in Malouin et al ( 2003 ) and Pfurtscheller et al ( 2006b ). Similarly, the confirmation of electrocortical activity coupled to gait cycle, during treadmill walking or LL control, for applications as EEG-BCI exoskeletons and orthotic devices, has been discerned by (He et al, 2018b , Gwin et al ( 2010 , 2011 ), Wieser et al ( 2010 ), Presacco et al ( 2011a ), Presacco et al ( 2011b ), Chéron et al ( 2012 ), Bulea et al ( 2013 ), Bulea et al ( 2015 ), Jain et al ( 2013 ), Petrofsky and Khowailed ( 2014 ), Kumar et al ( 2015 ), and Liu et al ( 2015 ). This provides the rationale for BCI controllers that incorporate cortical signals for high-level commands, based on user intent to walk/bipedal locomotion or kinesthetic motor imagery of LL.…”

Section: Introductionmentioning

confidence: 99%

EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots

Tariq

Trivailo

Simić

2018

Front. Hum. Neurosci.

192

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Over recent years, brain-computer interface (BCI) has emerged as an alternative communication system between the human brain and an output device. Deciphered intents, after detecting electrical signals from the human scalp, are translated into control commands used to operate external devices, computer displays and virtual objects in the real-time. BCI provides an augmentative communication by creating a muscle-free channel between the brain and the output devices, primarily for subjects having neuromotor disorders, or trauma to nervous system, notably spinal cord injuries (SCI), and subjects with unaffected sensorimotor functions but disarticulated or amputated residual limbs. This review identifies the potentials of electroencephalography (EEG) based BCI applications for locomotion and mobility rehabilitation. Patients could benefit from its advancements such as wearable lower-limb (LL) exoskeletons, orthosis, prosthesis, wheelchairs, and assistive-robot devices. The EEG communication signals employed by the aforementioned applications that also provide feasibility for future development in the field are sensorimotor rhythms (SMR), event-related potentials (ERP) and visual evoked potentials (VEP). The review is an effort to progress the development of user's mental task related to LL for BCI reliability and confidence measures. As a novel contribution, the reviewed BCI control paradigms for wearable LL and assistive-robots are presented by a general control framework fitting in hierarchical layers. It reflects informatic interactions, between the user, the BCI operator, the shared controller, the robotic device and the environment. Each sub layer of the BCI operator is discussed in detail, highlighting the feature extraction, classification and execution methods employed by the various systems. All applications' key features and their interaction with the environment are reviewed for the EEG-based activity mode recognition, and presented in form of a table. It is suggested to structure EEG-BCI controlled LL assistive devices within the presented framework, for future generation of intent-based multifunctional controllers. Despite the development of controllers, for BCI-based wearable or assistive devices that can seamlessly integrate user intent, practical challenges associated with such systems exist and have been discerned, which can be constructive for future developments in the field.

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“…In the recent years, the use of VR in stroke rehabilitation has increased, for example, Broeren et al developed VR‐based 3D games to promote motor skills and pattern of arm movements of patients suffering from left arm paresis; Holden, Saposnik et al, and Adams et al showed the importance of designing skill‐specific meaningful activities in the VR environment for rehabilitation; Sucar et al presented VR‐based Gesture Therapy platform for upper limb rehabilitation; and Ballester et al showed the efficacy of the VR‐based intervention in enhancing motor skills of the paretic limb in hemiparetic stroke patients. Also, researchers have used VR in conjunction with external peripherals, for example, Wii (Nintendo), Kinect Sensor (Microsoft), and haptic devices, which add to delivering a feeling of immersion in the task environment, thereby making the task motivating.…”

Section: Introductionmentioning

confidence: 99%

An intelligent, adaptive, performance‐sensitive, and virtual reality‐based gaming platform for the upper limb

Dhiman

Solanki

Bhasin

et al. 2018

Computer Animation & Virtual

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Stroke is a leading cause of adult disability, characterized by a spectrum of muscle weakness and movement abnormalities related to the upper limb. About 80% of individuals who had a stroke suffer from upper limb dysfunction. Conventional rehabilitation aims to improve one's ability to use paralyzed limbs through repetitive exercise under one‐on‐one supervision by physiotherapists. This poses difficulty given the limited availability of healthcare resources and the high cost of availing specialized services at healthcare centers, particularly in developing countries like India. Thus, the design of cost‐effective, home‐based, and technology‐assisted individualized rehabilitation platform that can deliver real‐time feedback on one's skill progress is critical. This paper describes the design of a novel, multimodal, virtual reality (VR)‐based, and performance‐sensitive exercise platform that can intelligently adapt its task presentation to one's performance. Here, we aim to address unilateral shoulder abduction and adduction that are essential for the performance of daily living activities. We designed an experimental study in which six individuals who had chronic stroke (post‐stroke period: >6 months) participated. While they interacted with our VR‐based tasks, we recorded their physiological signals in a synchronized manner. Preliminary results indicate the potential of our VR‐based, adaptive individualized system in the performance of individuals who had a stroke suffering from upper limb movement disorders.

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Engagement-sensitive interactive neuromuscular electrical therapy system for post-stroke balance rehabilitation - a concept study

Cited by 5 publications

References 21 publications

Engagement sensitive visual stimulation

Engagement sensitive visual stimulation

EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots

An intelligent, adaptive, performance‐sensitive, and virtual reality‐based gaming platform for the upper limb

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