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The Xltek Trex HD Video Ambulatory System offers a powerful solution for capturing long-term EEG data along with synchronized high-definition video, making it an ideal choice for ambulatory monitoring in patients with epilepsy and other neurological conditions. This system is designed for use outside of a clinical setting, providing continuous, high-quality EEG recordings while patients go about their daily activities. With the integration of HD video, clinicians can correlate brainwave activity with physical behavior, offering a deeper understanding of neurological events such as seizures.
The Xltek Trex HD Video Ambulatory System combines precise EEG data collection with HD video to deliver a complete picture of a patient’s neurological health. By synchronizing video with EEG recordings, clinicians can monitor a patient’s physical movements alongside brainwave activity, enabling them to identify and evaluate seizures, sleep disorders, and other neurological events more accurately. This detailed analysis is critical for making informed treatment decisions and for pre-surgical evaluations in epilepsy patients.
The Trex HD Ambulatory System is designed to be worn comfortably by patients over extended periods, allowing them to maintain their normal routines during the monitoring process. The lightweight, compact design minimizes disruptions to a patient’s daily life, while the long battery life ensures continuous monitoring without frequent recharging. This convenience makes it ideal for outpatient monitoring, reducing the need for hospital visits and providing clinicians with more natural, real-world data.
The Xltek Trex HD Video Ambulatory System integrates seamlessly with advanced EEG analysis software, offering clinicians efficient tools to review and interpret large amounts of data quickly. The software provides detailed insights and automated detection of critical neurological events, such as seizure activity, which improves diagnostic accuracy and reduces analysis time. This comprehensive system streamlines the entire monitoring process, from data collection to diagnosis.
