Funding
Funding not disclosed
Founders
Product
Problem
During surgery, patients can be over-exposed to anesthetics, leading to adverse postoperative outcomes such as delirium and increased risk of opioid dependence. Current methods for monitoring and managing anesthesia levels lack the precision needed to ensure optimal patient outcomes.
Solution
Pascall Systems is developing a precision anesthesia management platform that uses EEG-guidance to optimize anesthetic delivery during surgery. The platform incorporates a wearable brain monitoring system and signal processing algorithms to provide personalized anesthesia state control. By monitoring the patient's brain activity in real-time, the system helps clinicians maintain the optimal level of anesthesia, reducing the risk of over-exposure and improving postoperative recovery. The technology aims to empower clinicians with reliable and transparent tools for enhanced patient care.
Target Audience
The primary users are anesthesiologists and surgeons seeking to improve patient outcomes and reduce complications associated with anesthesia during surgical procedures.
Features
- Wearable EEG-based brain monitoring system for real-time data acquisition.
- Signal processing algorithms for feature extraction, artifact removal, and parameter estimation.
- Time series analysis, control engineering, and state-space modeling for anesthesia state control.
- Algorithm validation under a quality management system compliant with FDA Regulation.