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A PC-based on-line system for physiological in vivo and in vitro experiments
1Department of Cardiovascular Pharmacology, Astra Hässle AB, Mölndal, Sweden.
Computer Methods and Programs in Biomedicine
|September 1, 1993
Summary
A flexible PC-based system for physiological signal analysis was developed. This system enhances data acquisition and experimental control for various studies, including hemodynamics and electrophysiology.
Area of Science:
- Physiological signal processing
- Biomedical engineering
- Computational biology
Background:
- Effective data acquisition and analysis are crucial for physiological research.
- Existing systems may lack flexibility for diverse experimental setups.
- Need for integrated solutions for real-time data handling and analysis.
Purpose of the Study:
- To develop a versatile PC-based system for physiological data acquisition, experimental control, and signal analysis.
- To enhance flexibility for various research areas like hemodynamics and electrophysiology.
- To provide a robust platform for both continuous and intermittent data recording.
Main Methods:
- System development using Ada programming language, generating 32-bit code.
- Flexible experimental setup configuration via a table editor, storable in files.
- Multiple data recording options: continuous, intermittent (automatic/manual), and tape recorder utility.
- Advanced signal analysis module with configurable preprocessing, heartbeat detection, and selection.
- Data visualization through multiple window types (phasic signals, trend graphs, numerical data).
- Data storage in sampled raw or derived parameter (ASCII) files.
- Networked data transfer via Ethernet to a VAX cluster for further processing (RS/1, BIOLAB).
Main Results:
- A highly flexible PC-based system capable of supporting diverse physiological studies.
- Efficient data acquisition, control, and analysis with customizable parameters.
- Streamlined data management through flexible file formats and networked transfer.
- Successful implementation of a large program with substantial data buffer capacity.
Conclusions:
- The developed PC-based system offers a flexible and powerful solution for physiological signal acquisition, control, and analysis.
- Its modular design and adaptable features cater to a wide range of experimental needs.
- The system facilitates efficient data handling and integration with advanced analysis platforms.