Improved Pulse Detection from Head Motions Using DCT

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Resumé

The heart pulsation sends out the blood throughout the body. The rate in which the heart performs this vital task, heartbeat rate, is of curial importance to the body. Therefore, measuring heartbeat rate, a.k.a. pulse detection, is very important in many applications, especially the medical ones. To measure it, physicians traditionally, either sense the pulsations of some blood vessels or install some sensors on the body. In either case, there is a need for a physical contact between the sensor and the body to obtain the heartbeat rate. This might not be always feasible, for example, for applications like remote patient monitoring. In such cases, contactless sensors, mostly based on computer vision techniques, are emerging as interesting alternatives. This paper proposes such a system, in which the heartbeats (pulses) are detected by subtle motions that appear on the face due to blood circulation. The proposed system has been tested in different facial expressions. The experimental results show that the proposed system is correct and robust and outperforms state-of-the-art.
OriginalsprogEngelsk
TitelProceedings of the 9th International Conference on Computer Vision Theory and Applications
RedaktørerSebastiano Battiato, José Braz
Vol/bind3
ForlagInstitute for Systems and Technologies of Information, Control and Communication
Publikationsdato5 jan. 2014
Sider118-124
ISBN (Trykt)978-989-758-009-3
DOI
StatusUdgivet - 5 jan. 2014
BegivenhedInternational Conference on Computer Vision Theory and Applications - Lisbon, Danmark
Varighed: 5 jan. 20148 jan. 2014

Konference

KonferenceInternational Conference on Computer Vision Theory and Applications
LandDanmark
ByLisbon
Periode05/01/201408/01/2014

Fingerprint

Sensors
Remote patient monitoring
Blood vessels
Hemodynamics
Computer vision
Blood

Citer dette

Irani, R., Nasrollahi, K., & Moeslund, T. B. (2014). Improved Pulse Detection from Head Motions Using DCT. I S. Battiato, & J. Braz (red.), Proceedings of the 9th International Conference on Computer Vision Theory and Applications (Bind 3, s. 118-124). Institute for Systems and Technologies of Information, Control and Communication. https://doi.org/10.5220/0004669001180124
Irani, Ramin ; Nasrollahi, Kamal ; Moeslund, Thomas B. / Improved Pulse Detection from Head Motions Using DCT. Proceedings of the 9th International Conference on Computer Vision Theory and Applications . red. / Sebastiano Battiato ; José Braz. Bind 3 Institute for Systems and Technologies of Information, Control and Communication, 2014. s. 118-124
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title = "Improved Pulse Detection from Head Motions Using DCT",
abstract = "The heart pulsation sends out the blood throughout the body. The rate in which the heart performs this vital task, heartbeat rate, is of curial importance to the body. Therefore, measuring heartbeat rate, a.k.a. pulse detection, is very important in many applications, especially the medical ones. To measure it, physicians traditionally, either sense the pulsations of some blood vessels or install some sensors on the body. In either case, there is a need for a physical contact between the sensor and the body to obtain the heartbeat rate. This might not be always feasible, for example, for applications like remote patient monitoring. In such cases, contactless sensors, mostly based on computer vision techniques, are emerging as interesting alternatives. This paper proposes such a system, in which the heartbeats (pulses) are detected by subtle motions that appear on the face due to blood circulation. The proposed system has been tested in different facial expressions. The experimental results show that the proposed system is correct and robust and outperforms state-of-the-art.",
keywords = "Heartbeat rate, Head motion detection, Trajectory tracking, Feature point tracker, Electrocardiogram, Discrete cosine transforms, Principle component analysis",
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Irani, R, Nasrollahi, K & Moeslund, TB 2014, Improved Pulse Detection from Head Motions Using DCT. i S Battiato & J Braz (red), Proceedings of the 9th International Conference on Computer Vision Theory and Applications . bind 3, Institute for Systems and Technologies of Information, Control and Communication, s. 118-124, Lisbon, Danmark, 05/01/2014. https://doi.org/10.5220/0004669001180124

Improved Pulse Detection from Head Motions Using DCT. / Irani, Ramin; Nasrollahi, Kamal; Moeslund, Thomas B.

Proceedings of the 9th International Conference on Computer Vision Theory and Applications . red. / Sebastiano Battiato; José Braz. Bind 3 Institute for Systems and Technologies of Information, Control and Communication, 2014. s. 118-124.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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T1 - Improved Pulse Detection from Head Motions Using DCT

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AU - Nasrollahi, Kamal

AU - Moeslund, Thomas B.

PY - 2014/1/5

Y1 - 2014/1/5

N2 - The heart pulsation sends out the blood throughout the body. The rate in which the heart performs this vital task, heartbeat rate, is of curial importance to the body. Therefore, measuring heartbeat rate, a.k.a. pulse detection, is very important in many applications, especially the medical ones. To measure it, physicians traditionally, either sense the pulsations of some blood vessels or install some sensors on the body. In either case, there is a need for a physical contact between the sensor and the body to obtain the heartbeat rate. This might not be always feasible, for example, for applications like remote patient monitoring. In such cases, contactless sensors, mostly based on computer vision techniques, are emerging as interesting alternatives. This paper proposes such a system, in which the heartbeats (pulses) are detected by subtle motions that appear on the face due to blood circulation. The proposed system has been tested in different facial expressions. The experimental results show that the proposed system is correct and robust and outperforms state-of-the-art.

AB - The heart pulsation sends out the blood throughout the body. The rate in which the heart performs this vital task, heartbeat rate, is of curial importance to the body. Therefore, measuring heartbeat rate, a.k.a. pulse detection, is very important in many applications, especially the medical ones. To measure it, physicians traditionally, either sense the pulsations of some blood vessels or install some sensors on the body. In either case, there is a need for a physical contact between the sensor and the body to obtain the heartbeat rate. This might not be always feasible, for example, for applications like remote patient monitoring. In such cases, contactless sensors, mostly based on computer vision techniques, are emerging as interesting alternatives. This paper proposes such a system, in which the heartbeats (pulses) are detected by subtle motions that appear on the face due to blood circulation. The proposed system has been tested in different facial expressions. The experimental results show that the proposed system is correct and robust and outperforms state-of-the-art.

KW - Heartbeat rate

KW - Head motion detection

KW - Trajectory tracking

KW - Feature point tracker

KW - Electrocardiogram

KW - Discrete cosine transforms

KW - Principle component analysis

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Irani R, Nasrollahi K, Moeslund TB. Improved Pulse Detection from Head Motions Using DCT. I Battiato S, Braz J, red., Proceedings of the 9th International Conference on Computer Vision Theory and Applications . Bind 3. Institute for Systems and Technologies of Information, Control and Communication. 2014. s. 118-124 https://doi.org/10.5220/0004669001180124