Interfacing with the nervous system: a review of current bioelectric technologies

Sahyouni, Ronald; Mahmoodi, Amin; Chen, Jefferson; Chang, David T.; Moshtaghi, Omid; Djalilian, Hamid R.; Lin, Harrison W.

doi:10.1007/s10143-017-0920-2

Cited by 20 publications

(12 citation statements)

References 165 publications

(180 reference statements)

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“…Not only does the ability of the spine to be in a stable and balanced position during exercise require the strength of the core muscles to maintain, but also the endurance of the muscles is also a very important factor, especially the ability to control the movement beyond a stable position during exercise, and muscle endurance is needed to maintain the spine [18][19][20][21]. Abdominal and deep muscles generally account for a large proportion of slow-twitch fibres, which are related to the continuous maintenance of trunk stability.…”

Section: Optimization Of Efficacymentioning

confidence: 99%

Optimization of Surface Electromyography-Based Neurofeedback Rehabilitation Intervention System

Sun

et al. 2021

Journal of Healthcare Engineering

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In this paper, we study the effects of the neurofeedback method of surface EMG on electrophysiology and evaluate its effects on postural control, balance, and motor function using relevant scales. We optimize the neurofeedback rehabilitation intervention system based on surface EMG, study the objective assessment of neurofeedback rehabilitation intervention of surface EMG, and initially try to apply mirror therapy to the treatment of surface EMG. According to the different treatment methods, they were divided into the drug-only group, drug combined with electroacupuncture group, drug combined with facial muscle function training group, and drug combined with electroacupuncture combined with facial muscle function training group. Starting from the 10th day of the disease course, a course of 15 days contains three courses of treatment with a 3-day break for each course. Patients were tested on day 10, day 25, and day 40 of the disease course and the results of each test were recorded and analyzed. The results of each test were recorded and analyzed. The efficacy of four different methods for simple neurofeedback rehabilitation was compared according to the mean ratio of the root mean square of the patient’s affected and healthy sides. The close relationship between surface EMG neurofeedback rehabilitation intervention and rehabilitation efficacy was also investigated, and the effect of different feedback modes on neurofeedback rehabilitation intervention was explored for the neurofeedback protocol and whether the use of the optimized neurorehabilitation protocol could achieve improved efficacy and have a sustained effect. The study showed that neurofeedback training interventions based on optimized surface EMG can achieve good long-term results, as demonstrated by improved postural control, balance, and motor function of patients; optimized neurofeedback rehabilitation intervention systems; and guiding physicians or nurses to work more effective clinically.

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Section: Optimization Of Efficacymentioning

confidence: 99%

Optimization of Surface Electromyography-Based Neurofeedback Rehabilitation Intervention System

Sun

et al. 2021

Journal of Healthcare Engineering

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“…[ 184 ] A major hurdle preventing effective neural interfacing with the CNS is that electrical signals tend to spread out within brain tissue, thus without a proper mode of application, neural interfacing with the CNS presents issues of low selectivity, and could lead to major neural damage in the brain. [ 248–250 ] Consequently, current studies are generally focused on neural interfacing with the PNS. It is conceivable to see, however, how such a microscaled technology as TENGs could be applied to the CNS upon development of proper neural interfacing mechanisms adapted to the anatomy of the CNS.…”

Section: Neural Engineeringmentioning

confidence: 99%

Triboelectric Nanogenerators for Therapeutic Electrical Stimulation

et al. 2021

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Current solutions developed for the purpose of in and on body (IOB) electrical stimulation (ES) lack autonomous qualities necessary for comfortable, practical, and self‐dependent use. Consequently, recent focus has been placed on developing self‐powered IOB therapeutic devices capable of generating therapeutic ES for human use. With the recent invention of the triboelectric nanogenerator (TENG), harnessing passive human biomechanical energy to develop self‐powered systems has allowed for the introduction of novel therapeutic ES solutions. TENGs are especially effective at providing ES for IOB therapeutic systems given their bioconformability, low cost, simple manufacturability, and self‐powering capabilities. Due to the key role of naturally induced electrical signals in many physiological functions, TENG‐induced ES holds promise to provide a novel paradigm in therapeutic interventions. The aim here is to detail research on IOB TENG devices applied for ES‐based therapy in the fields of regenerative medicine, neurology, rehabilitation, and pharmaceutical engineering. Furthermore, considering TENG‐produced ES can be measured for sensing applications, this technology is paving the way to provide a fully autonomous personalized healthcare system, capable of IOB energy generation, sensing, and therapeutic intervention. Considering these grounds, it seems highly relevant to review TENG‐ES research and applications, as they could constitute the foundation and future of personalized healthcare.

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“…General classes of invasive electrodes for PNS in increasing order of invasiveness include extraneural, interfascicular, intrafascicular and those relying on the regeneration of the neural tissue in them. Examples of these electrodes are cuff electrodes, flat interface nerve electrodes (FINESs), longitudinal intrafascicular electrodes (LIFEs), transverse intrafascicular electrodes (TIMEs) and various multi-channel electrodes [10]. For the CNS, the general classification of electrodes is superficial/distal and those for deeper structures.…”

Section: Fundamentals Of Neuromodulationmentioning

confidence: 99%

Wearable Neuromodulators

Shiraz¹,

Leaker²,

Demosthenous³

2018

Wearable Technologies

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In neuromodulation, by delivering a form of stimulus to neural tissue the response of an associated neural circuit may be changed, enhanced or inhibited (i.e., modulated) as desired. This powerful technique may be used to treat various medical conditions as outlined in this chapter. After a brief introduction to the human nervous system, key example applications of electrical neuromodulation such as cardiac pacemakers, devices for pain relief, deep brain stimulation, cochlear implant and visual prosthesis and their respective methods of deployment are discussed. Furthermore, key features of wearable neuromodulators with reference to some existing devices are briefly reviewed. This chapter is concluded by a case study on design and development of a wearable device with non-invasive electrodes for treating lower urinary tract dysfunctions after spinal cord injury.

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Interfacing with the nervous system: a review of current bioelectric technologies

Cited by 20 publications

References 165 publications

Optimization of Surface Electromyography-Based Neurofeedback Rehabilitation Intervention System

Optimization of Surface Electromyography-Based Neurofeedback Rehabilitation Intervention System

Triboelectric Nanogenerators for Therapeutic Electrical Stimulation

Wearable Neuromodulators

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