The study of proprioception in motor control has always attracted widespread interest. Locomotion and upright standing are controlled by the central nervous system, and significantly depend on proprioception. Proprioceptive information of the dominant and non-dominant limbs’ muscles and joints may differ between left- and right-side dominant population, however, only a few studies aimed to investigate these patterns. Because neurological disorders are associated with proprioceptive dysfunction, it would be essential to properly understand the differences in proprioceptive signals’ processing between healthy adults and those who suffer from neurological disorders such as stroke.
In the field of biomechanics and kinesiology, the advent of noninvasive sensing techniques and biosignal processing methods open up new opportunities to analyze neurophysiological time-series signals in general such as Electromyography (EMG), Electroencephalography (EEG) connecting with motor control, movement and balance. Linear and non-linear techniques of time-series analysis are emerging quantitative techniques that derive information about the time-series fluctuations of physiological variability and, can therefore be used to reveal the processing of proprioceptive signals in locomotion-related tasks.
The purpose of this interdisciplinary Research Topic is to present current paradigm of research and application studies using non-invasive sensing technologies and biosignal processing methods to determine the differences between left-, and right-side dominant participants’ proprioception-related physiological data on a never before achieved level. Moreover, another goal is to identify the necessary lines of future research and to develop a framework of how sensing and biosignal processing methodologies can enhance time-series signal processing of proprioceptive information. This Research Topic will solicit and welcome high quality papers in all novel theoretical and applied aspects of proprioception with diverse backgrounds in biomedical engineering, human movement science, neurology, neuroscience, physical therapy, and physiology.
Topics of interest include, but are not limited to:
• Innovative Sensor technologies to measure the proprioceptive properties in motor control and movements.
• Analyzing a variety of proprioception-related tasks by quantifying patterns of movements.
• Physiological explanation of proprioceptive metrics.
• Biosignals of sensory receptors in the muscle, skin, and joints, and from central signals related to motor output.
• Asymmetry in left and right limbs’ proprioceptive characteristics.
• Describing the differences between left-, and right-side dominant participants’ physiological time-series signals by using innovative Biosignal processing techniques
• Emotional influence on proprioception
• Novel Theoretical and applied aspects of proprioception in neurophysiology, kinesiology and neuropsychiatry
The study of proprioception in motor control has always attracted widespread interest. Locomotion and upright standing are controlled by the central nervous system, and significantly depend on proprioception. Proprioceptive information of the dominant and non-dominant limbs’ muscles and joints may differ between left- and right-side dominant population, however, only a few studies aimed to investigate these patterns. Because neurological disorders are associated with proprioceptive dysfunction, it would be essential to properly understand the differences in proprioceptive signals’ processing between healthy adults and those who suffer from neurological disorders such as stroke.
In the field of biomechanics and kinesiology, the advent of noninvasive sensing techniques and biosignal processing methods open up new opportunities to analyze neurophysiological time-series signals in general such as Electromyography (EMG), Electroencephalography (EEG) connecting with motor control, movement and balance. Linear and non-linear techniques of time-series analysis are emerging quantitative techniques that derive information about the time-series fluctuations of physiological variability and, can therefore be used to reveal the processing of proprioceptive signals in locomotion-related tasks.
The purpose of this interdisciplinary Research Topic is to present current paradigm of research and application studies using non-invasive sensing technologies and biosignal processing methods to determine the differences between left-, and right-side dominant participants’ proprioception-related physiological data on a never before achieved level. Moreover, another goal is to identify the necessary lines of future research and to develop a framework of how sensing and biosignal processing methodologies can enhance time-series signal processing of proprioceptive information. This Research Topic will solicit and welcome high quality papers in all novel theoretical and applied aspects of proprioception with diverse backgrounds in biomedical engineering, human movement science, neurology, neuroscience, physical therapy, and physiology.
Topics of interest include, but are not limited to:
• Innovative Sensor technologies to measure the proprioceptive properties in motor control and movements.
• Analyzing a variety of proprioception-related tasks by quantifying patterns of movements.
• Physiological explanation of proprioceptive metrics.
• Biosignals of sensory receptors in the muscle, skin, and joints, and from central signals related to motor output.
• Asymmetry in left and right limbs’ proprioceptive characteristics.
• Describing the differences between left-, and right-side dominant participants’ physiological time-series signals by using innovative Biosignal processing techniques
• Emotional influence on proprioception
• Novel Theoretical and applied aspects of proprioception in neurophysiology, kinesiology and neuropsychiatry