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WM

Wis Medical KR

Wis Medical develops soft wearable sensor systems for accurate remote diagnostics and vital biometric monitoring. Their platform leverages machine learning for automated analysis of cardiopulmonary sounds and sleep data, comparable to in-lab standards. This technology provides healthcare providers and patients with secure, accessible prognostic monitoring and timely event alerts.

Atlanta, United StatesFounded 20224100+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Traditional methods of continuous health monitoring often rely on bulky, uncomfortable equipment and require frequent visits to medical facilities. This can be particularly challenging for individuals needing long-term monitoring or those with mobility issues, leading to inconsistent data collection and delayed diagnoses.

Solution

Wis Medical offers a suite of soft, wearable biometric monitoring devices designed for continuous and remote health management. Their devices capture and diagnose cardiopulmonary sounds and vital signs with accuracy, even during movement, leveraging flexible sensor technology and machine learning-based diagnostics. The platform provides real-time data and automated analysis, enabling proactive care and reducing the burden on healthcare providers. Data is securely transmitted to a cloud-based dashboard, offering both patients and clinicians access to comprehensive health insights and alerts. Wis Medical's solutions aim to transform advanced healthcare monitoring into a standard for communities worldwide, suitable for a wide range of users from infants to the elderly.

Target Audience

The primary target audience includes individuals requiring continuous health monitoring, such as those with cardiopulmonary conditions or sleep disorders, as well as healthcare providers seeking remote patient monitoring solutions.

Features

  • Soft, flexible wearable sensors for comfortable, continuous monitoring
  • Measures electrocardiogram (ECG), heart rate (HR), respiratory rate (RR), oxygen saturation (SpO2), seismocardiogram (SCG), body temperature, and auscultation
  • Machine learning-based diagnostic platform with high accuracy (94.78%)
  • Real-time data capture and analysis, unaffected by motion artifacts
  • Wireless data transmission to a secure cloud platform
  • User-friendly dashboard (WisView™) for daily sleep statistics, weekly trends, and physician-view sleep reports
  • Automated sleep scoring and disorder detection (Tedream™)
  • Multi-night at-home sleep monitoring for comprehensive sleep pattern insights (Tedream™)
This profile is AI-generated and may contain inaccuracies.