The startup develops a wearable device that monitors respiratory patterns and connects wirelessly to a smartphone app, providing real-time data on vital signs and respiratory issues. Utilizing an AI-powered algorithm, the device predicts disease progression and treatment response, enabling asthma patients to receive early warnings of potential episodes.
Funding
$910K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current methods for monitoring respiratory patterns rely on infrequent measurements in clinical settings, failing to capture continuous data under natural physiological conditions. Existing indicators like respiratory rate, blood oxygen saturation, and spirometry tests are often insufficient for accurately assessing breathing patterns and their correlation with symptoms. This makes it difficult to proactively manage respiratory conditions and adjust treatments effectively.
Solution
Resmetrix offers a wearable respiratory monitoring system that continuously and accurately tracks breathing patterns and vital signs in real-time, outside of clinical settings. The system utilizes a chest strap with a proprietary sensor to monitor parameters such as tidal volume, heart rate, temperature, activity, and body position. Data is transmitted wirelessly to a smartphone app, providing patients and clinicians with continuous access to respiratory information. An AI-powered algorithm analyzes breathing patterns and trends to predict disease progression, detect early signs of deterioration, and assess treatment response, enabling timely interventions and personalized care.
Target Audience
The primary target audience includes patients with chronic respiratory conditions such as heart failure, COPD, and asthma, as well as clinicians and healthcare providers involved in their care.
Features
- Chest-strap wearable with integrated sensors for continuous monitoring of breathing patterns, tidal volume, heart rate, temperature, activity, and position.
- Proprietary, patented sensor technology for accurate and reliable respiratory data collection.
- Wireless connectivity to a smartphone app for real-time data visualization and alerts.
- AI-powered algorithm for assessing disease progression, predicting exacerbations, and evaluating treatment response.
- Secure cloud-based platform for data management and remote monitoring by clinicians.
- Customizable alerts for early signs of respiratory deterioration.
- Continuous monitoring capabilities suitable for hospital, home, exercise, and travel settings.