A Signal Processing Method for Respiratory Rate Estimation through Photoplethysmography
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Fecha
2018-02
Autores
Moreno, Silvia
Quintero-Parra, Andres
Ochoa-Pertuz, Carlos
Villarreal, Reynaldo
Kuzmar, Isaac
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Editor
Sciencie &Engineering Research Support Society (SERSC)
Resumen
Monitoring of respiration is crucial for determining a patient´s health status, specially
previously and after an operation. However, many conventional methods are difficult to
use in a spontaneously ventilating patient. This paper presents a method for estimating
respiratory rate from the signal of a photoplethysmograph. This is a non-invasive sensor
that can be used to obtain an estimation of beats per minute of a given patient by
measuring light reflection on the patient’s blood vessel and counting changes in blood
flow. The PPG signal also offers information about respiration, so respiratory rate can be
obtained through signal processing. The proposed method based on digital filtering was
implemented in a wearable device and tested on 30 volunteers, and the results were
compared with the ones measured by traditional ways. The results show that there is no
statistically significant difference between the data measured by the device and the
traditional method.
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Palabras clave
Biomedical signal processing, Photoplethysmography, Telemedicine, Respiratory rate