Vitalgram: A Biometric Sensor for Measuring Meditation Levels
Scientifically proving the effects of mindfulness. A sensor that analyzes the balance of the autonomic nervous system from heart waveforms and visualizes the level of meditation.
In a stress society, the importance of mindfulness and meditation is increasing, and there is a rapidly growing need to objectively evaluate whether one is truly relaxed. The adhesive biosensor 'Vitalgram' measures electrocardiograms (ECG waveforms) with high precision simply by being attached to the chest, scientifically visualizing the depth of meditation. Unlike typical devices that only measure pulse rate, its greatest feature is the ability to analyze the fluctuations and balance of the autonomic nervous system (sympathetic and parasympathetic) in real-time from intricate ECG waveforms. It uses a very lightweight and flexible material, ensuring no discomfort during wear and not interfering with deep concentration or breathing at all. In yoga studios and corporate mental health training, it becomes possible to quantify and index the relaxation effects that were previously relied upon through sensation. 【Features】 ■ Analyzes autonomic nervous system balance from high-precision ECG waveforms ■ Zero discomfort design that does not interfere with deep concentration or breathing ■ Clearly quantifies the effects of meditation that were previously based on sensation ■ Improves the quality of training through real-time data analysis *For detailed use cases and specifications, please refer to "Download 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.