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Physiologic Network-Based Brain-Heart Interaction Quantification During Visual Emotional Elicitation
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2482-2491 (2024)
In recent years, there has been a surge in interest regarding the intricate physiological interplay between the brain and the heart, particularly during emotional processing. This has led to the development of various signal processing techniques aim
Externí odkaz:
https://doaj.org/article/abc45cae8c614f82990472438d43ae78
Autor:
Ze Wang, Lu Shen, Yi Yang, Yueqi Ma, Chi Man Wong, Zige Liu, Cuiyun Lin, Chi Tin Hon, Tao Qian, Feng Wan
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2470-2481 (2024)
The steady-state visual evoked potential (SSVEP) has become one of the most prominent BCI paradigms with high information transfer rate, and has been widely applied in rehabilitation and assistive applications. This paper proposes a least-square (LS)
Externí odkaz:
https://doaj.org/article/76b2922a97cb44b6bdbf1cd6867bca94
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2492-2502 (2024)
The process of reconstructing underlying cortical and subcortical electrical activities from Electroencephalography (EEG) or Magnetoencephalography (MEG) recordings is called Electrophysiological Source Imaging (ESI). Given the complementarity betwee
Externí odkaz:
https://doaj.org/article/d023c0fc74834b858a2e3b82a5bad17c
Autor:
Jianyu Fu, Shanyong Huang, Jianglang Cao, Jianping Huang, Debin Xu, Naifu Jiang, Xiangxin Li, Guanglin Li, Peng Fang
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2460-2469 (2024)
Electrophysiological recordings are vital in assessing biological functions, diagnosing diseases, and facilitating biofeedback and rehabilitation. The applications of conventional wet (gel) electrodes often come with some limitations. Microneedle arr
Externí odkaz:
https://doaj.org/article/d4f29441855a4c1b802b67e49d9961b4
Autor:
Alex C. Dzewaltowski, Philippe Malcolm
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2432-2440 (2024)
Robotic rehabilitation has been shown to match the effects of conventional physical therapy on motor function for patients with neurological diseases. Rehabilitation robots have the potential to reduce therapists’ workload in time-intensive trainin
Externí odkaz:
https://doaj.org/article/56ec0a11c0c84df7a299c2a26c6d053b
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2450-2459 (2024)
Acupuncture is an important therapeutic method of traditional Chinese medicine and can effectively modulate brain disorders. The therapeutic efficacy of acupuncture is hard to evaluate due to lacking of effective measurements of brain activity. In th
Externí odkaz:
https://doaj.org/article/045107166d3e4544a9901012f932e988
Autor:
Gabriel Diamond-Ouellette, Miorie Le Quang, Thomas Karakolis, Laurent J. Bouyer, Krista L. Best
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2441-2449 (2024)
Walking patterns are modified during load carriage, resulting in an increased activation of lower limb muscles and energy expenditure. Negative effects of load carriage could be minimized by wearing an exoskeleton, but evidence on the effects are con
Externí odkaz:
https://doaj.org/article/a2cac9a859b84ca1bd67e2f1145e3450
Autor:
Menghui Yang, Zhibin Li, Feiyu Pan, Shaobo Wu, Xinyi Jia, Rencheng Wang, Linhong Ji, Wei Li, Chong Li
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2398-2407 (2024)
Approximately one third of the population is prone to motion sickness (MS), which is associated with the dysfunction in the integration of sensory inputs. Transcranial alternating current stimulation (tACS) has been widely used to modulate neurologic
Externí odkaz:
https://doaj.org/article/e06e007a334e407c9145e872f517c71d
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2408-2431 (2024)
Brain-computer interfaces (BCIs) provide a communication interface between the brain and external devices and have the potential to restore communication and control in patients with neurological injury or disease. For the invasive BCIs, most studies
Externí odkaz:
https://doaj.org/article/f8be5b2431404834bb00127509fd8f4b
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 2376-2387 (2024)
Various training-based spatial filtering methods have been proposed to decode steady-state visual evoked potentials (SSVEPs) efficiently. However, these methods require extensive calibration data to obtain valid spatial filters and temporal templates
Externí odkaz:
https://doaj.org/article/70ebef0a577f4fa09038b9c6da2377fc