Title :
Non contact measurement of heart and respiration rates based on Kinect™
Author :
Bernacchia, Natascia ; Scalise, L. ; Casacanditella, Luigi ; Ercoli, Ilaria ; Marchionni, Paolo ; Tomasini, Enrico Primo
Author_Institution :
Dipt. di Ing. Ind. e Sci. Matematiche, Univ. Politec. delle Marche, Ancona, Italy
Abstract :
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™ 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.
Keywords :
biodiffusion; bioelectric potentials; electrocardiography; medical signal processing; pneumodynamics; statistical analysis; Kinect device; biomedical signals; camera-sensor; depth-sensor; electrocardiography; microphones; noncontact heart rate measurement; noncontact respiration rate measurement; patient monitoring; spirometry; standard deviation; widely-diffused multisensors device; Biomedical measurement; Electrocardiography; Heart rate; Instruments; Monitoring; Standards; Heart rate; Kinect; Non contact measurement methods; Respiration rate;
Conference_Titel :
Medical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on
Conference_Location :
Lisboa
Print_ISBN :
978-1-4799-2920-7
DOI :
10.1109/MeMeA.2014.6860065