Optical method for measurement of respiration rate

Scalise, Lorenzo; Marchionni, Paolo; Ercoli, Ilaria

doi:10.1109/memea.2010.5480208

Cited by 27 publications

(24 citation statements)

References 11 publications

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“…The volunteer was required to breath normally. In all our experiments, as a reference instrument, we have also used a laser Doppler vibrometer (LDVi) to detect the oscillation of the skin surface caused by the respiration activity [22][23][24], an example of the LDVi measured signal is reported in figure 4: The S 11 signal was sampled at 26 Hz (maximum available data sampling), while the LDVi velocity signal was initially sampled at 1 kHz. On both the S 11 signal measured by the proposed system and on the LDV i velocity signal, a band pass filter (Butterworth, 5 th order, 0.5 -5 Hz) was applied in order to reject the disturbances caused by motion artifacts , high frequency noise and by heartbeats.…”

Section: Electromagnetic Sensormentioning

confidence: 99%

“…The use of mattress result to be useful especially if the infant is not moving to much (sudden movements can cause movement artefacts), while chest belts can suffer in the case of hypotonic patients and in general are perceived by the patients as quite uncomfortable. Recently also for the respiratory monitoring, a series of interesting solutions have been proposed for the noncontact monitoring of the respiration activity [22][23][24][25][26][27][28][29][30]. The optical approach based on the use of single point laser Doppler vibrometry has been demonstrated valid and able to provide reliable respiration rate data [22][23][24] and, in some cases, to estimate the flow rate.…”

Section: Introductionmentioning

confidence: 99%

“…Recently also for the respiratory monitoring, a series of interesting solutions have been proposed for the noncontact monitoring of the respiration activity [22][23][24][25][26][27][28][29][30]. The optical approach based on the use of single point laser Doppler vibrometry has been demonstrated valid and able to provide reliable respiration rate data [22][23][24] and, in some cases, to estimate the flow rate. Anyway the use of single point optical monitoring of the respiration activity needs the direct access to the skin surface which requires the collaboration of the patient.…”

Section: Introductionmentioning

confidence: 99%

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Non contact monitoring of the respiration activity by electromagnetic sensing.

Scalise

Leo

Primiani

et al. 2011

2011 IEEE International Symposium on Medical Measurements and Applications

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The aim of this paper is to present a novel measurement method for the detection of the respiratory activity (respiration rate and respiration period) based on the use of a continuous wave (6 GHz) microwave radar reflectometry technique. The paper aims, in particular, to explore the effect on the signal quality of distance D between the sensing apparatus and the patient. The measurement method proposed is based on the measurement of the phase variation of the reflection coefficient (S 11 ) signal measured by a vectorial network analyzer connected to a double ridge horn antenna. The S 11 signal has been compared with the synchronous acquisition made by means of a laser Doppler vibrometer (LDVi), measuring the thorax oscillations caused by the respiratory activity. Both signals have been filtered in order to eliminate the effect of high frequency disturbances (heartbeat) and noise. Results show an high correlation between respiration peaks measured with the proposed system and with LDVi; a reduction of the amplitude of the S 11 signal phase (as well as the SNR) is reported in correspondence to an increasing of the distance D (-0.11 dB/cm). Tests have been repeated for standing as well as for sitting condition of the subject confirming a better signal quality for the later. Despite the fact that S 11 phase variation and SNR are reduced by the distance D, in our experiments, it is still possible to correctly measure the respiration period up to 2.5 m. Data measured show that the reflectometeric approach can be used to monitor at distance with sufficient high SNR (18 dB at 2.5 m) the respiration activity of a subject without the need of a direct contact with the subject skin by means of electrods of sensing belts.

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Section: Electromagnetic Sensormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Non contact monitoring of the respiration activity by electromagnetic sensing.

Scalise

Leo

Primiani

et al. 2011

2011 IEEE International Symposium on Medical Measurements and Applications

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“…In recent years many measurement techniques based on non contact methods have been proposed for the assessment of RR and HR [5]: Laser Doppler Vibrometry [6][7][8][9], digital imaging [10] and electromagnetic waves [11,12] are among them. Their use is very promising because they allow the subject under investigation to be free to move and not physically linked to the instrumentation by electrodes, cables or tubes.…”

Section: Introductionmentioning

confidence: 99%

Non contact measurement of heart and respiration rates based on Kinect™

Bernacchia

Scalise

Casacanditella

et al. 2014

2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA)

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Heart Rate (HR) and Respiration Rate (RR) are considered among the most useful biomedical signals to be observed from a subject in order to evaluate his/her health conditions. HR and RR are routinely monitored in patients recovered in hospitals and eventual variations of these quantities need to be measured and reported. Today HR and RR are measured with standard methods: electrocardiography (ECG) and spirometry (SP). Both this methods need to be in contact with the subject and require the presence of expert personnel to be correctly operated. Consequently, their use is limited to hospitals or ambulatory environments and their diffusion in domestic environments is rare. In this paper we present a novel method for the measurement of HR and RR without contact on a subject. The proposed method is realized by means of a Kinect TM Device (KD). The KD is a widely-diffused multi-sensors device based on a depth-sensor, a camera-sensor and 4 microphones. In our work it has been used in conjunction with a special processing algorithm to calculate the HR and RR values. In order to measure HP and RR 10 healthy subjects were observed with the proposed method and with reference methods (ECG and a SP). Results from tests show that the standard deviation of the residuals (difference between the ECG or SP data and the corresponding measurements obtained by KD) are 6% and 9.7% for HR and RR values respectively. Therefore the proposed measurement method, based on the use of KD, could be used for the home-monitoring of HR and RR values in healthy subject without the presence of experts or clinicians.

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“…In their design of respiration rate meter, Vasu et al and Choi et al used radio frequency sensors [15,16], whereas Miwa and Sakai [17] proposed the use of body sound for the development of a heart rate and respiration measurement system. Implementation of optical methods, ultrasonic proximity sensor, impedance plethysmography, ECG signal (via wavelet), facial tracking method and real-time vision based system are also studied by Scalise et al [18], Min et al [19], Ansari et al [20], Santo and Carbajal [21], Khalidi et al [6] and Tan et al [1] respectively regarding the measurement of respiration rate. Recent studies on respiration rate monitoring using capacitive textile force sensors, stepped-FM method, empirical mode decomposition method and laser Doppler vibrometry have also been carried out by Hoffmann et al [22], Otsu et al [23], Madhav et al [24] and Scalise et al [25].…”

Section: Introductionmentioning

confidence: 99%