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Biomedical Engineering Physiology Hardware Tender - 139485909

The UNIVERSITY OF WATERLOO has issued a Tender notice for the procurement of a Biomedical Engineering Physiology Hardware in the Canada. This Tender notice was published on 14 Apr 2026 and is scheduled to close on 28 Apr 2026, with an estimated Tender value of Refer Document. Interested bidders can access detailed Tender information, eligibility criteria, and complete bidding documents by referencing TOT Ref No. 139485909, while the tender notice number is 2026-ACAN-00485 SG and Registering on the platform.

Procurement Summary

Country: Canada

Summary: Biomedical Engineering Physiology Hardware

Deadline: 28 Apr 2026

Posting Date: 14 Apr 2026

Other Information

Notice Type: Tender

TOT Ref.No.: 139485909

Document Ref. No.: 2026-ACAN-00485 SG

Competition: ICB

Financier: Self Financed

Purchaser Ownership: Public

Tender Value: Refer Document

Purchaser's Detail

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Tender Details

The University of Waterloo requires a biopotential amplifier system capable of recording EEG, EMG, ECG, RIP, PPG and GSR signals. The equipment must be wireless and must include both standalone software and an API/SDK which permits access to the streaming data via Python and MATLAB. The system must be compatible with existing hardware in our labs and permit ambulatory data collection in out-of-lab settings. The system must be sufficiently open that it can interoperate with sensors and equipment procured from other vendors or built in house.The University is unaware of any other supplier/manufacturer who can provide this highly specialized equipment within the stated budget and delivery timeline.
Solicitation Type : ACAN - Advance Contract Award Notice (Formal) Reference Number : 0000319627 Location : Canada, Ontario, Kitchener-Waterloo-Barrie Delivery Point : University of Waterloo Purchase Type : One Time Only- Delivery Date:2026/06/08 Description : The University of Waterloo requires a biopotential amplifier system capable of recording EEG, EMG, ECG, RIP, PPG and GSR signals. The equipment must be wireless and must include both standalone software and an API/SDK which permits access to the streaming data via Python and MATLAB. The system must be compatible with existing hardware in our labs and permit ambulatory data collection in out-of-lab settings. The system must be sufficiently open that it can interoperate with sensors and equipment procured from other vendors or built in house.The University is unaware of any other supplier/manufacturer who can provide this highly specialized equipment within the stated budget and delivery timeline.

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