The NeuralPoint Platform.
A device-enabled AI system designed to quantify airway neuromuscular physiology with clinical precision and consumer simplicity.
A vertically integrated
physiologic assessment system.
Signal Acquisition
High-fidelity tmEMG™ sensors capture raw neuromuscular signals from the genioglossus and accessory muscles with micro-volt sensitivity.
AI Feature Extraction
EMGNet™ processing architecture filters artifacts and identifies sub-clinical respiratory effort patterns in real-time.
Structured Output
Investigational output reports detailing pharyngeal stability indices, muscle tone dynamics, and neuromuscular pattern scores for clinician review.
tmEMG™ Sensing Device
Early studies suggest comparable signal acquisition characteristics to intramuscular needle electrodes; further validation is ongoing.
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Non-Invasive Precision Micro-volt sensitivity for deep-tissue motor unit identification.
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Ultra-Low Impedance Proprietary hydrogel interface for rapid signal stabilization in under 60 seconds.
EMGNet Portal
Severe OSA · 95% confidence
Patterns associated with upper airway muscle function
Possible risk of myopathic pattern detected
EMGNet™ AI Platform
A novel AI architecture dedicated to airway neurophysiology — transforming millions of micro-volt data points into structured physiologic outputs for clinician review.
Outputs designed for clinicians.
Objective Monitoring
Continuous physiologic monitoring of airway neuromuscular activity — developing a proprietary biomarker index to characterize airway injury patterns and quantify OSA-related physiologic burden.
Patient Stratification
Characterize patient neuromuscular phenotypes to support future research into which physiologic patterns may correlate with treatment response — currently under investigation.