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Real-Time Physiological Monitoring Sensor Integration

Active

Federal

Response Deadline06/22/2026, 06:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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The contract involves the integration of non-invasive physiological sensors, such as SpO2 and capnography, into a ventilator system with the goal of providing reliable real-time feedback to control algorithms. This includes the technical tasks of signal conditioning and noise filtering to ensure accurate data acquisition for effective system performance. The work is categorized under NAICS code 334511, which relates to electronic sensor and instrument manufacturing. Issued by the Defense Health Agency within the Department of Defense, the subcontract is aimed at enhancing medical device capabilities for physiological monitoring. The place of performance is specified as Frederick, with a response deadline set for June 22, 2026. The contract focuses on advancing sensor integration technology to improve ventilator functionality in healthcare applications, supporting critical patient care through enhanced real-time data monitoring.

General Info

Integration of SpO2 and capnography sensors into ventilators for real-time physiological monitoring.

Agency

Department Of Defense → Defense Health Agency

NAICS

334511 - Search, Detection, Navigation, Guidance, Aeronautical, and Nautical System and Instrument Manufacturing View NAICS

Place of Performance

Frederick, MD, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PostedJun 4

subcontract

Response DeadlineJun 22

Submission deadline

Response Deadline

06/22/2026, 06:00:00 PM UTCin 6 days

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Organization & Contact Information

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AgencyDepartment Of Defense → Defense Health Agency

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of Defense → Defense Health Agency

Office AddressN/A

ContactsNo contact information available

Full Description

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Integrate non-invasive physiological sensors (e.g., SpO2, capnography) into the ventilator system, including signal conditioning and noise filtering for reliable feedback to control algorithms.

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