SBIR/STTR Research Award

Wearable cardiac ultrasound imager

Award identifier 88513da4fca1f4434879e2d38260b737e9be860868c075b2f9fee5378bee2ebfAwarding agency National Aeronautics and Space Administration

Award amount

$149,880

Program and phase

SBIR · Phase I

Award year

2025

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
SOFTSONICS LLC
Proposal award date
2025-09-02
Contract end date
2026-03-27
UEI
YVENH18DURB6
Solicitation number
SBIR 2025-I
Topic code
H12

Research abstract

Astronauts performing extravehicular activities (EVAs) face a heightened risk of decompression sickness (DCS) due to the formation of venous gas emboli (VGE) during pressure transitions. Current monitoring methods rely on transthoracic or transesophageal echocardiography, which are impractical in space environments due to their invasiveness, bulkiness, and operator dependence. To address this limitation, we propose the development of a non-invasive, wearable ultrasound patch capable of real-time, continuous cardiac imaging and automated VGE detection within an EVA suit. The proposed skin-conformal ultrasound device integrates a stretchable piezoelectric transducer array with a wireless electronic control circuit, allowing real-time data transmission to a portable device (e.g., a smartphone). The system employs deep learning-based image analysis to detect and quantify VGE, providing an automated Eftedal-Brubakk score to assess DCS risk. The low-profile, flexible design ensures minimal interference with astronaut mobility while maintaining high-resolution imaging comparable to conventional ultrasound systems. Phase I will focus on: 1. Developing a high-resolution stretchable ultrasound transducer array optimized for cardiac imaging within the constraints of an EVA suit. 2. Implementing beamforming algorithms for enhanced penetration depth and field of view to acquire an apical four-chamber (A4C) view. 3. Designing a deep-learning model for real-time VGE detection, quantification, and automated risk scoring. 4. Validating system safety using standard ultrasound evaluation metrics. This technology has significant implications beyond space applications, including terrestrial aerospace, deep-sea diving, and clinical embolism monitoring. It represents a transformative advancement for diagnostics in extreme environments, ensuring astronaut safety during space exploration.

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

2 SBIR/STTR records share this UEI (2023–2025). Reported award amounts total $402,889. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Health and Human Services, National Aeronautics and Space Administration

Agency intelligence

National Aeronautics and Space Administration

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.