Jan Medical
Jan Medical is a medical device startup based in Silicon Valley, dedicated to providing physicians with critical data to accelerate and expand therapy while improving the diagnostic experience for brain disorders. Their BrainPulse system offers diagnostic indicators for urgent conditions such as concussion, stroke, and vasospasm, aiming to improve early detection and treatment of neurological conditions.
Industries
Nr. of Employees
small (1-50)
Jan Medical
Mountain View, California, United States, North America
Products
BrainPulse System
The BrainPulse system includes a headset with sensors, a data collector, and a computer. It detects skull acceleration, heart rate, ambient noise, and uses accelerometers to measure cranial motion. The device is portable, easy to use, and provides rapid data acquisition, typically in 3-5 minutes, suitable for various medical settings. It has FDA de novo clearance for cranial motion measurement and is under research for detecting and monitoring changes related to concussions.
The BrainPulse Technology
This technology detects skull motion caused by pulsatile blood flow into the brain, which oscillates with each heartbeat. Highly sensitive accelerometers measure this motion, and machine learning algorithms analyze patterns specific to brain pathologies. The data can aid in diagnosing brain conditions and triaging patients for treatment.
BrainPulse System
The BrainPulse system includes a headset with sensors, a data collector, and a computer. It detects skull acceleration, heart rate, ambient noise, and uses accelerometers to measure cranial motion. The device is portable, easy to use, and provides rapid data acquisition, typically in 3-5 minutes, suitable for various medical settings. It has FDA de novo clearance for cranial motion measurement and is under research for detecting and monitoring changes related to concussions.
The BrainPulse Technology
This technology detects skull motion caused by pulsatile blood flow into the brain, which oscillates with each heartbeat. Highly sensitive accelerometers measure this motion, and machine learning algorithms analyze patterns specific to brain pathologies. The data can aid in diagnosing brain conditions and triaging patients for treatment.