Cardiosense is developing a physiological waveform data platform that utilizes multi-sensor wearable devices and proprietary algorithms to detect early markers of cardiac disease. This technology enables continuous patient monitoring and personalized therapy, addressing the need for pre-symptomatic disease detection in cardiac care.
Funding
$15.2M 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 detecting cardiac disease often rely on symptomatic presentation, leading to delayed diagnosis and intervention. Traditional monitoring techniques may not capture early physiological changes that precede noticeable symptoms, hindering preventative care. The lack of continuous, real-time data limits the ability to personalize therapy and proactively manage cardiac health.
Solution
Cardiosense is developing a digital biomarker platform that utilizes multi-sensor wearable devices and proprietary algorithms to detect early markers of cardiac disease. The platform leverages an advanced signal processing pipeline to identify pre-symptomatic indicators of cardiac dysfunction from raw biosignals. The end-to-end ecosystem facilitates continuous patient monitoring, from in-hospital settings to the patient's home, enabling aggregation, transmission, and analytics of physiological sensor data. By applying deep learning to raw physiological waveforms, Cardiosense aims to provide clinicians with digital biomarkers for early disease detection and personalized therapy guidance. The investigational device is intended to provide unprecedented visibility into cardiac function, facilitating proactive and personalized cardiac care.
Target Audience
The primary target audience includes cardiologists, hospitals, and remote patient monitoring service providers seeking advanced tools for early detection and personalized management of cardiac disease.
Features
- CardioTag Sensor: A medical-grade, multi-sensor wearable device for wireless patient monitoring.
- Wavesense Platform: Device-agnostic software for aggregation, transmission, and analytics of physiological sensor data.
- Clinical AI: Digital biomarkers for early disease detection developed using deep learning on raw physiological waveforms.
- Advanced signal processing pipeline to identify pre-symptomatic markers of cardiac disease.