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1715, Building 4, Tianna Shanghui, No. 500 Jianyun Road, Pudong New Area, Shanghai
Shanghai Jumu Medical Equipment Co., Ltd
1715, Building 4, Tianna Shanghui, No. 500 Jianyun Road, Pudong New Area, Shanghai
Digital EEG Topography InstrumentBy non-invasive means of recording brain electrical activity, complex EEG signals are converted into intuitive color topographic maps, helping doctors quickly identify areas of abnormal brain function. This device has shown outstanding performance in epilepsy localization, brain injury assessment, and neurological rehabilitation monitoring. It can also be used to study cognitive functions such as learning and memory, providing important tools for the fields of neuroscience, psychology, and rehabilitation medicine.

The device offers a variety of options from basic to. The basic equipment supports 16 lead acquisition and is suitable for conducting routine EEG examinations in primary medical institutions; The device can be extended to 128 leads to achieve high-density EEG mapping, meeting the in-depth research needs of research institutions for brain functional networks. The device supports both wired and wireless transmission modes, and the wireless version uses encryption technology to ensure the security of data transmission. In addition, the device is equipped with an adjustable bracket to adapt to the detection posture of patients of different heights.
The equipment adopts low-noise amplification technology, which reduces input noise and enhances the detection capability of weak signals. Its high common mode rejection ratio effectively eliminates power frequency interference and electromagnetic noise. High sampling rate ensures complete recording of high-frequency EEG components. The device supports multiple analysis modes, including time-domain analysis, frequency-domain analysis, and nonlinear dynamic analysis, which can comprehensively evaluate the spatiotemporal characteristics of EEG activity. In addition, the device has a built-in automatic report generation function, which can automatically generate structured reports based on the test results, improving the efficiency of doctors' work.
The standard equipment configuration includes a host, wireless EEG amplifier, electrode cap kit, conductive paste, and specialized software. The host adopts a modular design, which is easy to upgrade and maintain in the later stage; The wireless amplifier is compact in size, comfortable to wear, and supports long-term continuous use; The electrode cap is made of medical grade silicone material, which is skin friendly and breathable, reducing patient discomfort; Specialized software provides rich analysis tools, supports custom analysis templates, and meets different research needs. In addition, the device provides detailed operation manuals and online training resources to help users quickly master usage skills.
Deep LearningDeep Learning is a branch of machine learning that uses artificial neural networks as an architecture to represent data Xi's algorithm. There are currently several deep learning architectures, such as deep neural networks, convolutional neural networks, andDeep belief networks and recursion Neural networks have been applied in computer vision, speech recognition, and natural language processingObtained in fields such as audio recognition and bioinformatics Obtained good results. in additionDeep learning "has become a similar term, or rather a rebranding of neural networks