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Beijing Rongsheng Technology Co., Ltd
Multi channel wireless EMG acquisition system
NegotiableUpdate on 05/06
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Overview
High sensitivity sensing, precise data. Using high-sensitivity piezoresistive composite film material and built-in carbon nano sensor coating, 10 pressure sensors are distributed per square centimeter, and a 3D pressure grid is constructed with 50000+sensing units. The dynamic sensing range is wide, the load capacity is strong, and the linearity and repeatability accurately capture every pressure change during walking, running, and other movements under barefoot/shoe conditions.
Product Details
Core advantage: Empowered by technology, making electromyography collection more intelligent
Wireless portability, flexible wearability
Sensors only 34mm×28mm×11mmDirectly fixed through electrode plates, free from cable constraints, suitable for dynamic motion scenes. support6 Channel synchronous acquisition,16 The configuration can be split into two independent sets8 Channel system, meeting the needs of collaborative monitoring of multiple muscle groups.
Multi modal data fusion to assist in deep analysis
integration 1080P/60Frame synchronized camera, real-time generation of stick shaped images, joint angles, etc2DMotion analysis data; It can be synchronized with 3D motion capture systems, force measurement platforms, and isokinetic muscle strength testing systems to construct a complete analysis chain of sports biomechanics.
Real time filtering and electrocardiogram monitoring for more accurate data
Hardware gain 1000 Multiple, software gain adjustable（500-5000），7Hz-1000HzThe bandwidth covers the entire frequency range of electromyographic signals. built-inSDCard supports detachment from computer storage1 Hourly data, synchronized display of electrocardiogram and calculation of heart rate, balancing muscle and cardiovascular function monitoring.
Professional application scenarios covering multiple fields of research
Field application direction: Analysis of human-machine ergonomics in higher education institutions, research on muscle working mechanisms, evaluation of exercise fatigue, optimization of sports research and technology rationality, prediction of muscle fiber types, non-invasive detection of anaerobic threshold, athlete fatigue judgment, rehabilitation medical gait analysis, diagnosis of muscle functional disorders, and evaluation of rehabilitation training effectiveness (supporting) 90%Automatic recognition of the above sports tests
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