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  • Service Hotline:0755-83063040 15099930942 中文版 | English
    Application areas of LHE7909, a substitute for TI chip ADS1299
    Update Time : 2025-04-23 View : 108
    (1) Medical equipment field



    Electroencephalogram (EEG) monitoring: EEG monitoring requires high-precision collection of weak electrical activity signals in the brain. The low noise and high-resolution characteristics of LHE7909 enable it to clearly capture these signals, providing a basis for doctors to accurately determine the functional status of the brain. LHE7909 can play an important role in clinical diagnosis of neurological diseases such as epilepsy and brain tumors, as well as in analyzing the sleep cycle of the brain in sleep research.



    Electrocardiogram (ECG) monitoring: In terms of ECG monitoring, LHE7909 can accurately collect cardiac electrical signals, and its multi-channel configuration can simultaneously monitor the electrical activity of different parts of the heart, which helps to more comprehensively evaluate the health status of the heart. Whether it is routine static electrocardiogram examination or dynamic electrocardiogram monitoring (Holter), LHE7909 can meet the needs and provide reliable data for the diagnosis and treatment of cardiovascular diseases.



    Other medical applications: In addition to EEG and ECG, LHE7909 is also suitable for medical scenarios such as fetal monitoring, sleep monitoring, and bispectrum index (BIS) analysis. Accurately collecting fetal electrocardiograms and other physiological signals is crucial for ensuring fetal health in fetal monitoring; In sleep monitoring, precise monitoring of various signals such as EEG and ECG can help analyze sleep quality and diagnose diseases such as sleep apnea; BIS analysis requires high-precision signal acquisition to evaluate the depth of anesthesia in the brain, and LHE7909 can perform well.



    (2) In the field of bioelectric potential measurement



    LHE7909 also performs well in electromyography (EMG) and neuroelectrical signal acquisition. Both electromyographic signals and neural electrical signals are relatively weak, and the low noise and high-resolution characteristics of LHE7909 can accurately collect these signals, providing strong support for the diagnosis and research of muscle diseases and neurological diseases. For example, in the monitoring of nerve function recovery in patients with spinal cord injury, collecting nerve electrical signals through LHE7909 can intuitively understand the repair status of nerves.



    (3) Industrial sensor field



    LHE7909 also has broad application prospects in industrial high-precision analog signal acquisition systems. Sensor signals in industrial environments are often susceptible to various interferences, and the high CMRR and low noise characteristics of LHE7909 can effectively suppress interference, ensuring the accuracy and reliability of the collected analog signals. Whether it is high-precision measurement of industrial parameters such as pressure, temperature, and flow rate, or monitoring of the operating status of various equipment on industrial automation production lines, LHE7909 can provide stable and accurate data input for industrial control systems.
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