Demonstrating the effectiveness of the assist suit with objective data. Strongly supporting the manufacturer's product evaluation with electrocardiograms and posture measurements.
In the development and implementation of power assist suits, how to objectively evaluate their fatigue reduction effects has become an important issue. The wearable biosensor 'Vitalgram' is an appropriate tool for accurately quantifying the physical load on suit wearers. Its small and lightweight design, which simply adheres to the chest, does not interfere with the operation of the assist suit or the movements of the wearer. In addition to analyzing stress and fatigue levels through electrocardiograms during work, it uses 3-axis acceleration and angular velocity sensors to measure detailed movements such as walking states and forward-leaning postures in real time. Since it can obtain highly reliable biosensor data comparable to that in the medical field, manufacturers can provide clear evidence to address the question of whether it is truly effective. 【Features】 ■ Small and lightweight patch type that does not hinder suit movement ■ Evaluates the fatigue reduction level of the wearer through electrocardiogram waveform analysis ■ Accurately records posture during work using 3-axis acceleration and angular velocity ■ High-reliability data usable for product evaluation by manufacturers *For detailed usage examples and specifications, please refer to "Download the catalog."
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AffordSense Inc. is a university venture established in November 2013 to deliver the research outcomes of the "Research and Development of Band-Aid Type Biosensors" project, initiated by Professor Kazuhisa Maenaka of the Graduate School of Engineering at Hyogo Prefectural University, as part of the Strategic Creative Research Promotion Project (ERATO). We aim not only to commercialize research results but also to further challenge human sensing, advancing research and development to contribute to areas such as health management, early detection and prevention of diseases, and hazard prediction for the human body.




