Breathing monitoring by non-contact video processing has been the subject of recent research. This paper presents an advanced video processing algorithm for reliable Respiratory Rate (RR) monitoring based on the analysis of local video variations and a motion magnification method. This novel algorithm improves over the existing solutions in terms of estimation accuracy and excision of large body movements unrelated with respiration. Applications to adults and infants are presented to demonstrate the performance of the proposed algorithm and compare it with previous work.
Respiratory rate monitoring by video processing using local motion magnification / Alinovi, Davide; Ferrari, Gianluigi; Pisani, Francesco; Raheli, Riccardo. - STAMPA. - 2018-:(2018), pp. 1780-1784. (Intervento presentato al convegno 26th European Signal Processing Conference, EUSIPCO 2018 tenutosi a ita nel 2018) [10.23919/EUSIPCO.2018.8553066].
Respiratory rate monitoring by video processing using local motion magnification
Alinovi, Davide
;Ferrari, Gianluigi;Pisani, Francesco;Raheli, Riccardo
2018-01-01
Abstract
Breathing monitoring by non-contact video processing has been the subject of recent research. This paper presents an advanced video processing algorithm for reliable Respiratory Rate (RR) monitoring based on the analysis of local video variations and a motion magnification method. This novel algorithm improves over the existing solutions in terms of estimation accuracy and excision of large body movements unrelated with respiration. Applications to adults and infants are presented to demonstrate the performance of the proposed algorithm and compare it with previous work.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
