Two decades of breakthroughs: charting the future of NeuroEngineering and Rehabilitation.

IF 5.2 2区 医学 Q1 ENGINEERING, BIOMEDICAL Journal of NeuroEngineering and Rehabilitation Pub Date : 2025-03-13 DOI:10.1186/s12984-025-01580-5
Paolo Bonato, David Reinkensmeyer, Mario Manto
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Abstract

The Journal of NeuroEngineering and Rehabilitation (JNER) has become a major actor for the dissemination of knowledge in the scientific community, bridging the gaps between innovative neuroengineering and rehabilitation. Major fields of innovations have emerged these last 25 years, such as machine learning and the ongoing AI revolution, wearable technologies, human machine interfaces, robotics, advanced prosthetics, functional electrical stimulation and various neuromodulation techniques. With the major burden of disorders impacting on the central/peripheral nervous system and the musculoskeletal system both in adults and in children, successful tailored neurorehabilitation has become a major objective for the research and clinical community at a world scale. JNER contributes to this challenging goal, publishing groundbreaking cutting-edge research using the open access model. The multidisciplinary approaches at the crossroads of biomedical engineering, neuroscience, physical medicine and rehabilitation make of the journal a unique growing platform welcoming breakthrough discoveries to reshape the field and restore function.

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来源期刊
Journal of NeuroEngineering and Rehabilitation
Journal of NeuroEngineering and Rehabilitation 工程技术-工程:生物医学
CiteScore
9.60
自引率
3.90%
发文量
122
审稿时长
24 months
期刊介绍: Journal of NeuroEngineering and Rehabilitation considers manuscripts on all aspects of research that result from cross-fertilization of the fields of neuroscience, biomedical engineering, and physical medicine & rehabilitation.
期刊最新文献
Wearable fall risk assessment by discriminating recessive weak foot individual. Imu-based kinematic analysis to enhance upper limb motor function assessment in neuromuscular diseases. Investigating the cortical effect of false positive feedback on motor learning in motor imagery based rehabilitative BCI training. Therapeutic and orthotic effects of an adaptive functional electrical stimulation system on gait biomechanics in participants with stroke. A motor unit action potential-based method for surface electromyography decomposition.
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