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Wearable Sensor Integration & Data Analytics

Active
Federal

Contract Overview

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

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This contract involves the design, integration, and testing of wearable biosensors, such as EEG, ECG, and motion tracking devices, aimed at real-time monitoring of Warfighter health and performance. Alongside hardware development, it requires creating sophisticated algorithms for anomaly detection and predictive analytics to enhance the ability to monitor and respond to physiological changes effectively. The goal is to improve the health and operational capabilities of military personnel through advanced wearable technology. Issued by the Department of Defense under the USAF Afmc Afrl Pzl Afrl Rakh office, this subcontract falls under NAICS code 334510, which pertains to electronic sensor manufacturing. The solicitation was posted on November 20, 2025, with proposals due by September 30, 2027. While specific details about the place of performance and points of contact are not provided, the project emphasizes a cutting-edge integration of biosensor technology and data analytics within a military context to support Warfighter readiness and resilience.

General Info

Design and test wearable biosensors and algorithms for real-time Warfighter health monitoring.

Agency

Department Of Defense → FA2384 USAF Afmc Afrl Pzl Afrl RakhView Agency

NAICS

334510 - Electromedical and Electrotherapeutic Apparatus ManufacturingView NAICS

Place of Performance

OH

Set-Aside

NONE

Documents

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Organization & Contact Information

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AgencyDepartment Of Defense → FA2384 USAF Afmc Afrl Pzl Afrl Rakh
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Defense → FA2384 USAF Afmc Afrl Pzl Afrl Rakh
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Office AddressN/A
ContactsNo contact information available

Full Description

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Design, integrate, and test wearable biosensors (e.g., EEG, ECG, motion tracking) for real-time monitoring of Warfighter health and performance; develop algorithms for anomaly detection and predictive analytics.

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