Influence of muscular fatigue on skiing performance during parallel turns.

Muscular fatigue and muscle-activation patterns during a skiing demonstration (down a coarse around 4000 m long) was evaluated. Nine subjects participated in skiing trials and pre-training with a squat exercise. Surface electromyogram (SEMG) signals from the agonist and antagonist muscles around the knee at certain knee-joint angles were recorded. The SEMG signals showed that experienced skiers maintained their posture regardless of muscle fatigue by means of sustained muscle contractions in accordance with the change in inclination of the slope. In contrast, intermediate skiers did not maintain their posture (because of muscle fatigue) and distributed their strength over muscles to co-contract with each other. It is concluded from this result that the influence of muscle fatigue on skiing performance is related to skill level.(1).

Integrated evaluation of visually induced motion sickness in terms of autonomic nervous regulation.

To evaluate visually-induced motion sickness, we integrated subjective and objective responses in terms of autonomic nervous regulation. Twenty-seven subjects viewed a 2-min-long first-person-view video section five times (total 10 min) continuously. Measured biosignals, the RR interval, respiration, and blood pressure, were used to estimate the indices related to autonomic nervous activity (ANA). Then we determined the trigger points and some sensation sections based on the time-varying behavior of ANA-related indices. We found that there was a suitable combination of biosignals to present the symptoms of visually-induced motion sickness. Based on the suitable combination, integrating trigger points and subjective scores allowed us to represent the time-distribution of subjective responses during visual exposure, and helps us to understand what types of camera motions will cause visually-induced motion sickness.

A ubiquitous wearable unit for controlling muscular fatigue during cycling exercise sessions.

For health promotion and motor rehabilitation, controlling muscular fatigue on-site is important during exercise sessions. We have developed a ubiquitous wearable unit with a Linux board and tried to apply it to the control of a torque-assisted bicycle with a biosignal-based fuzzy system designed for a cycle ergometer. The results showed that an appropriate design for the cycle ergometor (indoor exercise) would be sufficiently applicable for the torque-assisted bicycle (outdoor exercise) in terms of heart rate, but was not sufficient in terms of muscular fatigue. It needs more detailed control for muscular activity.

Relationships between sensory stimuli and autonomic nervous regulation during real and virtual exercises.

BACKGROUND: Application of virtual environment (VE) technology to motor rehabilitation increases the number of possible rehabilitation tasks and/or exercises. However, enhancing a specific sensory stimulus sometimes causes unpleasant sensations or fatigue, which would in turn decrease motivation for continuous rehabilitation. To select appropriate tasks and/or exercises for individuals, evaluation of physical activity during recovery is necessary, particularly the changes in the relationship between autonomic nervous activity (ANA) and sensory stimuli. METHODS: We estimated the ANA from the R-R interval time series of electrocardiogram and incoming sensory stimuli that would activate the ANA. For experiments in real exercise, we measured vehicle data and electromyogram signals during cycling exercise. For experiments in virtual exercise, we measured eye movement in relation to image motion vectors while the subject was viewing a mountain-bike video image from a first-person viewpoint. RESULTS: For the real cycling exercise, the results were categorized into four groups by evaluating muscle fatigue in relation to the ANA. They suggested that fatigue should be evaluated on the basis of not only muscle activity but also autonomic nervous regulation after exercise. For the virtual exercise, the ANA-related conditions revealed a remarkable time distribution of trigger points that would change eye movement and evoke unpleasant sensations. CONCLUSION: For expanding the options of motor rehabilitation using VE technology, approaches need to be developed for simultaneously monitoring and separately evaluating the activation of autonomic nervous regulation in relation to neuromuscular and sensory systems with different time scales.

Sensation of presence and cybersickness in applications of virtual reality for advanced rehabilitation.

Around three years ago, in the special issue on augmented and virtual reality in rehabilitation, the topics of simulator sickness was briefly discussed in relation to vestibular rehabilitation. Simulator sickness with virtual reality applications have also been referred to as visually induced motion sickness or cybersickness. Recently, study on cybersickness has been reported in entertainment, training, game, and medical environment in several journals. Virtual stimuli can enlarge sensation of presence, but they sometimes also evoke unpleasant sensation. In order to safely apply augmented and virtual reality for long-term rehabilitation treatment, sensation of presence and cybersickness should be appropriately controlled. This issue presents the results of five studies conducted to evaluate visually-induced effects and speculate influences of virtual rehabilitation. In particular, the influence of visual and vestibular stimuli on cardiovascular responses are reported in terms of academic contribution.

Low-cost, email-based system for self blood pressure monitoring at home.

We have developed a low-cost monitoring system, which allows subjects to send blood pressure (BP) data obtained at home to health-care professionals by email. The system consists of a wrist BP monitor and a personal computer (PC) with an Internet connection. The wrist BP monitor includes an advanced positioning sensor to verify that the wrist is placed properly at heart level. Subjects at home can self-measure their BP every day, automatically transfer the BP data to their PC each week, and then send a comma-separated values (CSV) file to their health-care professional by email. In a feasibility study, 10 subjects used the system for a mean period of 207 days (SD 149). The mean percent achievement of measurement in the 10 subjects was 84% (SD 12). There was a seasonal variation in systolic and diastolic BP, which was inversely correlated with temperature. Eight of the 10 subjects evaluated the system favourably. The results of the present study demonstrate the feasibility of our email-based system for self-monitoring of blood pressure. Its low cost means that it may have widespread application in future home telecare studies.

A Java-based enterprise system architecture for implementing a continuously supported and entirely Web-based exercise solution.

Since machine-based exercise still uses local facilities, it is affected by time and place. We designed a web-based system architecture based on the Java 2 Enterprise Edition that can accomplish continuously supported machine-based exercise. In this system, exercise programs and machines are loosely coupled and dynamically integrated on the site of exercise via the Internet. We then extended the conventional health promotion model, which contains three types of players (users, exercise trainers, and manufacturers), by adding a new player: exercise program creators. Moreover, we developed a self-describing strategy to accommodate a variety of exercise programs and provide ease of use to users on the web. We illustrate our novel design with examples taken from our feasibility study on a web-based cycle ergometer exercise system. A biosignal-based workload control approach was introduced to ensure that users performed appropriate exercise alone.

Relationships between muscle activity and autonomic regulation during cycling with a torque-assisted bicycle.

For customizing the assistance scheme of a torque-assisted bicycle, we estimated physical activity during cycling with ECG and surface EMG for the circuit including a steep uphill section near the middle and compared it with the vehicle data. Using the respiratory-sinus-arrhythmia-related power ratio in the fluctuation of the R-R interval, prRSA and a muscular fatigue index, we classified physical activity into four groups for each trial. Results showed that the assist enlarged prRSA but did not sufficiently support muscular fatigue.

Personal customizing exercise with a wearable measurement and control unit.

BACKGROUND: Recently, wearable technology has been used in various health-related fields to develop advanced monitoring solutions. However, the monitoring function alone cannot meet all the requirements of customizing machine-based exercise on an individual basis by relying on biosignal-based controls. We propose a new wearable unit design equipped with measurement and control functions to support the customization process. METHODS: The wearable unit can measure the heart rate and electromyogram signals during exercise performance and output workload control commands to the exercise machines. The workload is continuously tracked with exercise programs set according to personally customized workload patterns and estimation results from the measured biosignals by a fuzzy control method. Exercise programs are adapted by relying on a computer workstation, which communicates with the wearable unit via wireless connections. A prototype of the wearable unit was tested together with an Internet-based cycle ergometer system to demonstrate that it is possible to customize exercise on an individual basis. RESULTS: We tested the wearable unit in nine people to assess its suitability to control cycle ergometer exercise. The results confirmed that the unit could successfully control the ergometer workload and continuously support gradual changes in physical activities. CONCLUSION: The design of wearable units equipped with measurement and control functions is an important step towards establishing a convenient and continuously supported wellness environment.

Relationships between Sensory Stimuli and Autonomic Regulation During Real and Virtual Exercises.

For expanding application of virtual reality, such as rehabilitation engineering, concerns of cybersicknes should be cleared. We have investigated changes in autonomic regulations under real cycling and virtual mountain biking video with the first-person viewpoint. The results showed that the dominant sensory stimuli affected autonomic regulation with different process. The different process will lead to the hints for preventing cybersickness.

Development of a wearable measurement and control unit for personal customizing machine-supported exercise.

Wearable technology has been used in various health-related fields to develop advanced monitoring solutions. However, the monitoring function alone cannot meet all the requirements of personal customizing machine-supported exercise that have biosignal-based controls. In this paper, we propose a new wearable unit design equipped with measurement and control functions to support the personal customization process. The wearable unit can measure the heart rate and electromyogram signals during exercise and output workload control commands to the exercise machines. We then applied a prototype of the wearable unit to an Internet-based cycle ergometer system. The wearable unit was examined using twelve young people to check its feasibility. The results verified that the unit could successfully adapt to the control of the workload and was effective for continuously supporting gradual changes in physical activities.

Time-varying behavior of motion vectors in vection-induced images in relation to autonomic regulation.

Virtual reality (VR) is a promising technology in biomedical engineering, but at the same time enlarges another problem called cybersickness. Aiming at suppression of cybersicknes, we are investigating the influences of vection-induced images on the autonomic regulation quantitatively. We used the motion vectors to quantify image scenes and measured electrocardiogram, blood pressure, and respiration for evaluating the autonomic regulation. Using the estimated motion vectors, we further synthesized random-dot pattern images to survey which component of the global motion vectors seriously affected the autonomic regulation. The results showed that the zoom component with a specific frequency band (0.1-3.0 Hz) would induce sickness.

Fast and precise independent component analysis for high field fMRI time series tailored using prior information on spatiotemporal structure.

Independent component analysis (ICA) has been shown as a promising tool for the analysis of functional magnetic resonance imaging (fMRI) time series. Each of these studies, however, used a general-purpose algorithm for performing ICA and the computational efficiency and accuracy of elicited neuronal activations have not been discussed in much detail. We have previously proposed a direct search method for improving computational efficiency. The method, which is based on independent component-cross correlation-sequential epoch (ICS) analysis, utilizes a form of the fixed-point ICA algorithm and considerably reduces the time required for extracting desired components. At the same time, it is shown that the accuracy of detecting physiologically meaningful components is much improved by tailoring the contrast function used in the algorithm. In this study, further improvement was made to this direct search method by integrating an optimal contrast function. Functional resolution of activation maps could be controlled with a suitable selection of the contrast function derived from prior knowledge of the spatial patterns of physiologically desired components. A simple skewness-weighted contrast function was verified to extract sufficiently precise activation maps from the fMRI time series acquired using a 3.0 Tesla MRI system.