<abstract xmlns="http://www.w3.org/1999/xhtml"><p> This paper describes a non-invasive system for respiratory monitoring using a Micro Electro Mechanical Systems (MEMS) flow sensor and an IMU (Inertial Measurement Unit) accelerometer. The designed system is intended to be wearable and used in a hospital or at home to assist people with respiratory disorders. To ensure the accuracy of our system, we proposed a calibration method based on ANN (Artificial Neural Network) to compensate the temperature drift of the silicon flow sensor. The sigmoid activation functions used in the ANN model were computed with the CORDIC (COordinate Rotation DIgital Computer) algorithm. This algorithm was also used to estimate the tilt angle in body position. The design was implemented on reconfigurable platform FPGA.</p></abstract>

This paper describes a non-invasive system for respiratory monitoring using a Micro Electro Mechanical Systems (MEMS) flow sensor and an IMU (Inertial Measurement Unit) accelerometer. The designed system is intended to be wearable and used in a hospital or at home to assist people with respiratory disorders. To ensure the accuracy of our system, we proposed a calibration method based on ANN (Artificial Neural Network) to compensate the temperature drift of the silicon flow sensor. The sigmoid activation functions used in the ANN model were computed with the CORDIC (COordinate Rotation DIgital Computer) algorithm. This algorithm was also used to estimate the tilt angle in body position. The design was implemented on reconfigurable platform FPGA.

Field Programmable Gate Array (FPGA) Respiratory Monitoring System Using a Flow Microsensor and an Accelerometer

Mouloud Mammeri University, Faculty of electrical engineering and computing science, PO Box 17 RP 15000, Tizi Ouzou, Lampa laboratory,

University of Québec At Chicoutimi, G7H-2B1, Chicoutimi,

Measurement Science Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

This paper describes a non-invasive system for respiratory monitoring using a Micro Electro Mechanical Systems (MEMS) flow sensor and an IMU (Inertial...

Field Programmable Gate Array (FPGA) Respiratory Monitoring System Using a Flow Microsensor and an Accelerometer

Online veröffentlicht: 26. Apr. 2017

Seitenbereich: 61 - 67

Eingereicht: 22. Dez. 2016

Akzeptiert: 09. März 2017

DOI: https://doi.org/10.1515/msr-2017-0008

Schlüsselwörter
Accelerometer, CORDIC, FPGA, respiratory monitoring, ANN, SPI, MEMS flow sensor

© by Mourad Laghrouche

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Field Programmable Gate Array (FPGA) Respiratory Monitoring System Using a Flow Microsensor and an Accelerometer

Online veröffentlicht: 26. Apr. 2017

Seitenbereich: 61 - 67

Eingereicht: 22. Dez. 2016

Akzeptiert: 09. März 2017

DOI: https://doi.org/10.1515/msr-2017-0008

SchlüsselwörterAccelerometer, CORDIC, FPGA, respiratory monitoring, ANN, SPI, MEMS flow sensor

© by Mourad Laghrouche

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Accelerometer, CORDIC, FPGA, respiratory monitoring, ANN, SPI, MEMS flow sensor