SBIR/STTR Research Award
Dynamic REM Improvement through a Closed-loop Stimulation and Sensing Wearable
Award amount
$73,723Program and phase
SBIR · Phase IAward year
2024Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- NEURABLE INC.
- Proposal award date
- 2023-12-14
- Contract end date
- 2024-03-15
- UEI
- YB3BCSW8NSN3
- Solicitation number
- X23.7
- Topic code
- AFX237-PCSO1
Research abstract
Disrupted REM sleep is a leading contributor to poor physical, mental, and emotional health, particularly among military members, who often contend with intense stimuli and irregular working hours. Scientific evidence suggests that optimizing REM sleep is pivotal for bolstering emotional resilience, creating positive adaptations to stress, and reducing the effects of trauma (i.e. PTSD). Leveraging Neurable's expertise in biometric data analysis, advanced signal processing, and artificial intelligence, we propose a novel approach that integrates our BrainOS platform with closed-loop neuromodulationĀto target, monitor, and optimize REM sleep mechanisms.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- PRISM (Persistent Readiness Insight & Sensing for Mission optimization) – Brain-sensing wearable technology for enhancing cognitive readiness and decision-making
- EEG-Enabled Form Factors for Army Brain Health Monitoring
- Decoding Cognitive Fatigue: Leveraging EEG for Enhanced Soldier Performance and Biopotential Applications.
- An Easily Integratable Wearable Real-Time Cognition & Physiological Monitoring Device for Human Performance Optimization
- Ruggedized Brain-Computer Interface for Cognitive Tracking and Assessment
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Penetration X-ray Inspection of Spacecraft
- AI Enhanced Battle Damage Assessment and Ballistic Prediction for Medium Range UAS
- ThinkOrbital TACFI
- Accurate Drone Localization Using Lighthouse's Innovative Computer Vision-Based Airspace Management System and Integrated RF Sniffing
- QuickSAT/SHERLOCK, An AI Architecture For In Situ Vehicle Monitoring, Vehicle Health Management and Fault Detection
Research funding history
7 SBIR/STTR records share this UEI (2018–2025). Reported award amounts total $5,497,330. Reported amounts are not federal obligations.
Phases: Phase I, Phase II – Direct to Phase II, Phase II
Agencies: Department of Defense, National Science Foundation