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Updated: May 26, 2026

A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients

A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients

Published on: October 17, 2017

Proposing a standardized protocol for raw biosignal transmission.

Christian Breitwieser¹, Ian Daly, Christa Neuper

¹Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria. c.breitwieser@tugraz.at

IEEE Transactions on Bio-Medical Engineering

|December 24, 2011

Summary

This summary is machine-generated.

This paper introduces TiA (TOBI interface A), a standardized interface for transmitting diverse raw biosignals like EEG and NIRS simultaneously. It enables efficient, distributed data transfer from various acquisition devices.

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Area of Science:

Biomedical Engineering
Neuroscience
Signal Processing

Background:

Raw biosignal transmission from diverse acquisition devices presents challenges in standardization.
Existing methods lack a unified approach for multirate and block-oriented data transfer.
Integrating signals like EEG, EOG, and NIRS requires a flexible and robust interface.

Purpose of the Study:

To propose TiA (TOBI interface A), a standardized interface for raw biosignal transmission.
To support multirate and block-oriented transmission of various biosignal types concurrently.
To facilitate distributed raw data transmission and hardware abstraction.

Main Methods:

Developed TiA as a single-server, multiple-client system with runtime client connectivity.
Implemented distinct control (TCP/XML) and data (UDP/TCP, binary stream) connections.
Defined standardized handshaking procedures and binary data packet formats.

Main Results:

TiA enables simultaneous transmission of multirate biosignals from heterogeneous devices.
Introduced 'signal types' for clear distinction between different biosignals.
Established a standardized layer for hardware abstraction and distributed data transmission.

Conclusions:

TiA provides a standardized solution for raw biosignal transmission, enhancing interoperability.
The developed cross-platform C++ library facilitates adoption and implementation.
TiA simplifies distributed biosignal processing and analysis by abstracting hardware complexities.