Publication
Conception of an acquisition and data processing system based on optical fiber sensors for blood pressure analysis
| Summary: | The developed work was focused on the creation of a data acquisition and processing system capable of extracting information related to an individual's blood pulse wave, using optical systems allied to an electronic support. For that, a fibre optic-based sensor was designed, which uses the variations in the intensity of reflected light, that will be modulated by the movement of the skin as a result of changes in the volume of blood inside the arteries. The signal from the optical sensor is acquired and processed by an electronic system also developed within the scope of this dissertation. It was subsequently developed, a MATLAB® application, which will be responsible for most of the signal processing, including: pulse wave acquisition, extraction and analysis of blood pressure parameters, real time data sampling, serial port or Bluetooth communication and a simple and interactive interface capable of adapting to various types of sensors. In a first phase, a literature review was carried out on various methods of waveform acquisition for obtaining key parameters related to blood pressure using intensity-based sensors. After the literature review, the main system was implemented, which consists of an optical sensor based on optical intensity modulations and a data acquisition, processing, and transmission system. Afterwards, the application is developed where the studied algorithms, the sensor-computer communication via serial port and Bluetooth and the interface for user interaction are implemented. The acquisition system and sensor developed were pre-validated in a hospital environment in comparison with a commercial and commonly used system. The project described throughout the dissertation was carried out in partnership with the company Brightstuff. |
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| Main Authors: | Rocha, Vitor Emanuel Reis da |
| Subject: | Optical fiber Sensor Arterial pulse wave Healthcare Signal processing |
| Year: | 2022 |
| Country: | Portugal |
| Document type: | master thesis |
| Access type: | open access |
| Associated institution: | Universidade de Aveiro |
| Language: | English |
| Origin: | RIA - Repositório Institucional da Universidade de Aveiro |
| Summary: | The developed work was focused on the creation of a data acquisition and processing system capable of extracting information related to an individual's blood pulse wave, using optical systems allied to an electronic support. For that, a fibre optic-based sensor was designed, which uses the variations in the intensity of reflected light, that will be modulated by the movement of the skin as a result of changes in the volume of blood inside the arteries. The signal from the optical sensor is acquired and processed by an electronic system also developed within the scope of this dissertation. It was subsequently developed, a MATLAB® application, which will be responsible for most of the signal processing, including: pulse wave acquisition, extraction and analysis of blood pressure parameters, real time data sampling, serial port or Bluetooth communication and a simple and interactive interface capable of adapting to various types of sensors. In a first phase, a literature review was carried out on various methods of waveform acquisition for obtaining key parameters related to blood pressure using intensity-based sensors. After the literature review, the main system was implemented, which consists of an optical sensor based on optical intensity modulations and a data acquisition, processing, and transmission system. Afterwards, the application is developed where the studied algorithms, the sensor-computer communication via serial port and Bluetooth and the interface for user interaction are implemented. The acquisition system and sensor developed were pre-validated in a hospital environment in comparison with a commercial and commonly used system. The project described throughout the dissertation was carried out in partnership with the company Brightstuff. |
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Funded activities
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