Zywie
Zywie is a medtech company focused on the early detection and precise remote monitoring of patients with cardiovascular disease. The company develops wearable biosensor devices and cloud-based data analytic solutions, including the ZywieNano™ patch, to improve patient care through advanced, real-time ECG monitoring and analysis. Recognized for innovation, Zywie's solutions are FDA approved, support faster diagnosis, and are integrated with major government and commercial health systems. The company is committed to reshaping healthcare delivery by increasing access, reducing costs, and providing actionable insights for physicians to deliver personalized care.
Industries
Nr. of Employees
small (1-50)
Zywie
12000 Findley Road, Suite 360, Johns Creek, GA 30097
Patents
Products
Wearable 30‑day single‑lead ECG patch
Low‑profile adhesive patch designed for continuous single‑lead ECG monitoring up to 30 days with live telemetry to a cloud analytics platform; water‑resistant form factor to improve patient compliance.
Cloud-based remote cardiac monitoring platform
Platform that receives streamed ECG telemetry, applies automated arrhythmia detection algorithms, provides clinician dashboards, and produces configurable alerts and reports.
Wearable 30‑day single‑lead ECG patch
Low‑profile adhesive patch designed for continuous single‑lead ECG monitoring up to 30 days with live telemetry to a cloud analytics platform; water‑resistant form factor to improve patient compliance.
Cloud-based remote cardiac monitoring platform
Platform that receives streamed ECG telemetry, applies automated arrhythmia detection algorithms, provides clinician dashboards, and produces configurable alerts and reports.
Services
End‑to‑end monitoring service that enrolls patients, collects continuous ECG telemetry, applies automated analytics, and delivers clinician alerts and final reports.
Telecommunications-enabled telemetry provisioning and EMR integration to route device data into clinical workflows.
End‑to‑end monitoring service that enrolls patients, collects continuous ECG telemetry, applies automated analytics, and delivers clinician alerts and final reports.
Telecommunications-enabled telemetry provisioning and EMR integration to route device data into clinical workflows.
Expertise Areas
- Remote cardiac monitoring
- Arrhythmia detection algorithm development
- Wearable biosensor design for ambulatory ECG
- Cloud-based ECG analytics and reporting
Key Technologies
- Single-lead ECG
- Wearable adhesive patch biosensor
- Near-real-time ECG streaming
- Cloud-based analytics (HIPAA-compliant)
News & Updates
Zywie was chosen out of over 400 applicants to present at Venture Atlanta 2021, highlighting its innovative cardiac monitoring technology.
Zywie was recognized as one of Georgia's Top 40 innovative tech companies for its next-generation remote cardiac monitoring solution.
Latha Ganeshan, CEO and Founder of Zywie, received the 2017 Innovation Award from Georgia Bio for her contributions to health technology.
A study on using deep learning to identify ventricular arrhythmias in patients monitored with Mobile Cardiac Telemetry.
Evaluation of machine learning models for atrial fibrillation classification using ECG data.
Demonstration of ZywieAI's ability to detect ventricular tachycardia, flutter, and fibrillation episodes in near real-time.
Zywie was chosen out of over 400 applicants to present at Venture Atlanta 2021, highlighting its innovative cardiac monitoring technology.
Zywie was recognized as one of Georgia's Top 40 innovative tech companies for its next-generation remote cardiac monitoring solution.
Latha Ganeshan, CEO and Founder of Zywie, received the 2017 Innovation Award from Georgia Bio for her contributions to health technology.
A study on using deep learning to identify ventricular arrhythmias in patients monitored with Mobile Cardiac Telemetry.
Evaluation of machine learning models for atrial fibrillation classification using ECG data.
Demonstration of ZywieAI's ability to detect ventricular tachycardia, flutter, and fibrillation episodes in near real-time.