FOR ALL THE RHYTHMS OF LIFE
The BodyGuardian MINI PLUS is one system for all your remote monitoring needs. With BodyGuardian MINI PLUS, you get up to 30 day near real-time monitoring the service type you require, duration you want, data you need, and when you want to be notified to optimize diagnosis accuracy. The monitor can remotely transition between Long-Term Holter, Cardiac Event, and Mobile Telemetry depending on patient needs. The MINI monitor is indicated for monitoring arrhythmias in both pediatric and adult patients*.
When the BodyGuardian MINI PLUS is used with ECG Insight, Preventice’s cloud bases system, it allows you to see any and all rhythms a patient has without delays. With one click, you can examine the chosen event with extended tools to navigate surrounding unfiltered ECG, measure ECG using calipers, and correlate heart rates to event.
* Pediatric patients above 10kg (22lbs)
HIGH COMPLIANCE FOR ALL PATIENTS
When it comes to usability, size truly mattersFDA cleared for pediatrics and adults*
Simple preparation-No skin abrasion or alcohol use
Truly waterproof and submersible
Repositionable with multiple placement options
Multiple patch and leadset options
REMOTE BEAT-TO-BEAT ECG DATA AT YOUR FINGERTIPS
Have you ever wanted full disclosure during and post monitoring?
ECG INSIGHT® , Preventice's cloud based system, offers you near real-time beat-to-beat data during and post monitoring.
- See all rhythms in near real-time while the patient is wearing the monitor
- Receive actionable timely information when using remote telemetry system
- Improve patient compliance and enable timely follow-up care
Remote home hook-up reduces patient, family and clinical staff exposure to risks
Remote clinical evaluation and consultation occurs without visiting the clinic, ER or hospital
With one click, access full beat-to-beat data results in high patient satisfaction
FIRST STUDY TO DEMONSTRATE DEEP LEARNING CAPABILITIES PERFORMING BOTH BEAT AND RHYTHM CLASSIFICATIONS
The BodyGuardian proprietary remote cardiac algorithms have demonstrated sensitivity and specificity higher than any previously published, fully automated algorithms.
To learn more, read the publication and check how our data science team is applying machine learning and artificial intelligence in wearable cardiac monitoring technology.