StethX
StethX is a Georgia Tech spin-off developing Dual-Use technologies, Alt-PNT and AI powered wearables. The company is dedicated to advancing cardiovascular and pulmonary healthcare through innovative, wearable medical devices that capture the acoustic fingerprints of the heart and lungs. By leveraging precision wearable technology, machine learning, and artificial intelligence, StethX aims to provide real-time, customized data for patients and clinicians, enabling informed treatments and improved outcomes. Their mission is to make healthcare more accessible, efficient, and personalized, ensuring everyone has access to high-quality, patient-centered care.
Industries
N/A
Nr. of Employees
small (1-50)
StethX is currently seeking investment
StethX is seeking a seed investment in the range of 5m-20m
Products
Wearable accelerometer contact-microphone patch (research prototype)
A wearable patch integrating precision accelerometers to capture longitudinal mechano-acoustic signals from the heart and lungs for monitoring and algorithmic analysis.
Wearable accelerometer contact-microphone patch (research prototype)
A wearable patch integrating precision accelerometers to capture longitudinal mechano-acoustic signals from the heart and lungs for monitoring and algorithmic analysis.
Expertise Areas
- Wearable sensor development
- Mechano-acoustic signal processing
- AI/ML for physiological time-series
- Cardiopulmonary diagnostic methods
Key Technologies
- Accelerometer-based contact microphones
- Seismocardiography (SCG)
- Mechano-acoustic signal processing
- Deep learning for physiological signals
News & Updates
Describes a wearable patch that uses accelerometers and deep learning to detect respiratory rate and wheeze, important for conditions like asthma and COPD.
Presents a screening framework using contact microphones for diagnosing coexisting valvular heart diseases.
Explores the use of seismocardiogram signals from wearable accelerometer contact microphones to identify S2 splitting, an indicator of aortic stenosis.
Describes a non-invasive method for diagnosing peripheral artery disease using accelerometer contact microphone recordings.
Discusses the importance of monitoring pathological mechano-acoustic signals from the lungs for timely and cost-effective healthcare.
Highlights the value of mechano-acoustic signals from the heart and lungs for monitoring the cardiopulmonary system using wearable technology.
Describes a wearable patch that uses accelerometers and deep learning to detect respiratory rate and wheeze, important for conditions like asthma and COPD.
Presents a screening framework using contact microphones for diagnosing coexisting valvular heart diseases.
Explores the use of seismocardiogram signals from wearable accelerometer contact microphones to identify S2 splitting, an indicator of aortic stenosis.
Describes a non-invasive method for diagnosing peripheral artery disease using accelerometer contact microphone recordings.
Discusses the importance of monitoring pathological mechano-acoustic signals from the lungs for timely and cost-effective healthcare.
Highlights the value of mechano-acoustic signals from the heart and lungs for monitoring the cardiopulmonary system using wearable technology.