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The article presents a proposal to detect the heart beat and an estimation of the instantaneous heart rate based on a video, using the variation of skin tone as a function of the blood flow, which are imperceptible to the human ey...
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The article presents a proposal to detect the heart beat and an estimation of the instantaneous heart rate based on a video, using the variation of skin tone as a function of the blood flow, which are imperceptible to the human eye. This method of data acquisition does not require a sensor to be in contact with the user's skin, so it is a non-invasive method, easy to acquire and can be performed from a certain distance. Using computer vision, it was possible to track the face over time using the KTL classifier to increase tracking accuracy and decrease the processing time. With the detection performed over time it was possible to visualize the variation of skin tone as a function of blood flow through a temporal filter and an equalization of the histogram. The final result was obtained by evaluating the histogram resulting from each processed frame of the video.
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In this paper we propose a system for long-term and non-contact monitoring of the human heart rate based on the image analysis from the simple web-camera. The quality of the signal and the measurement accuracy under various intern...
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In this paper we propose a system for long-term and non-contact monitoring of the human heart rate based on the image analysis from the simple web-camera. The quality of the signal and the measurement accuracy under various internal and external factors has been considered.
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Today, health information technology is the area of IT involving the design and development of telemedicine solutions, providing to patients medical services that enhance their quality of life. Technological advances in integrated...
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Today, health information technology is the area of IT involving the design and development of telemedicine solutions, providing to patients medical services that enhance their quality of life. Technological advances in integrated circuits and wireless communications have led to the design and fabrication of low-cost, low-power, miniature, and intelligent physiological data acquisition devices. The paper describes the design and implementation of a portable device used to acquire and wirelessly transmit the electrocardiographic signal (ECG), collected from a patient, to a Personal Computer (PC). The developed device is based on the multichannel high-resolution medical analog front-end ADS1298, connected to a wireless development tool eZ430-RF2500, both from Texas Instruments. On the PC is running an application that receives the ECG data from wireless device, process the signal in order to compute the heart rate, and run a simple arrhythmia detector. A prototype of the wireless device has already been designed, implemented, and partially tested.
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摘要 :
Today, health information technology is the area of IT involving the design and development of telemedicine solutions, providing to patients medical services that enhance their quality of life. Technological advances in integrated...
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Today, health information technology is the area of IT involving the design and development of telemedicine solutions, providing to patients medical services that enhance their quality of life. Technological advances in integrated circuits and wireless communications have led to the design and fabrication of low-cost, low-power, miniature, and intelligent physiological data acquisition devices. The paper describes the design and implementation of a portable device used to acquire and wirelessly transmit the electrocardiographic signal (ECG), collected from a patient, to a Personal Computer (PC). The developed device is based on the multichannel high-resolution medical analog front-end ADS1298, connected to a wireless development tool eZ430-RF2500, both from Texas Instruments. On the PC is running an application that receives the ECG data from wireless device, process the signal in order to compute the heart rate, and run a simple arrhythmia detector. A prototype of the wireless device has already been designed, implemented, and partially tested.
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摘要 :
Today, health information technology is the area of IT involving the design and development of telemedicine solutions, providing to patients medical services that enhance their quality of life. Technological advances in integrated...
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Today, health information technology is the area of IT involving the design and development of telemedicine solutions, providing to patients medical services that enhance their quality of life. Technological advances in integrated circuits and wireless communications have led to the design and fabrication of low-cost, low-power, miniature, and intelligent physiological data acquisition devices. The paper describes the design and implementation of a portable device used to acquire and wirelessly transmit the electrocardiographic signal (ECG), collected from a patient, to a Personal Computer (PC). The developed device is based on the multichannel high-resolution medical analog front-end ADS1298, connected to a wireless development tool eZ430-RF2500, both from Texas Instruments. On the PC is running an application that receives the ECG data from wireless device, process the signal in order to compute the heart rate, and run a simple arrhythmia detector. A prototype of the wireless device has already been designed, implemented, and partially tested.
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The remote detection of liveness is critical for senior and baby care, disaster response, the military, and law enforcement. Existing solutions are mostly based on special sensor hardware or the spectral signature of living skin. ...
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The remote detection of liveness is critical for senior and baby care, disaster response, the military, and law enforcement. Existing solutions are mostly based on special sensor hardware or the spectral signature of living skin. This paper uses commercial electro-optical and infrared (EO/IR) sensors to capture a very short video for low cost and fast liveness detection. The key components of our system include: tiny human body and face detection from long range and low-resolution video, and remote liveness detection based on micro-motion from a short human body and face video. These micro-motions are caused by breathing and heartbeat. A deep learning architecture is designed for remote body and face detection. A novel algorithm is proposed for adaptive sensor and background noise cancellation. An air platform motion compensation algorithm is tested on video data collected on a drone. The key advantages are: low cost, requires very short video, works with many parts of a human body even when skin is not visible, works on any motion caused by eyes, mouth, heartbeat, breathing, or body parts, and works in all lighting conditions. To the author's best knowledge, this is the first work on video micro-motion based liveness detection on a moving platform and from a long standoff range of 100 m. Once a subject is deemed alive, video-based remote heart rate detection is applied to assess the physiological and psychological state of the subject. This is also the first work on outdoor remote heart rate detection from a long standoff range of 100 m. On a public available indoor COHFACE data evaluation, our heart rate estimation algorithm outperforms all published work on the same dataset.
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The remote detection of liveness is critical for senior and baby care, disaster response, the military, and law enforcement. Existing solutions are mostly based on special sensor hardware or the spectral signature of living skin. ...
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The remote detection of liveness is critical for senior and baby care, disaster response, the military, and law enforcement. Existing solutions are mostly based on special sensor hardware or the spectral signature of living skin. This paper uses commercial electro-optical and infrared (EO/IR) sensors to capture a very short video for low cost and fast liveness detection. The key components of our system include: tiny human body and face detection from long range and low-resolution video, and remote liveness detection based on micro-motion from a short human body and face video. These micro-motions are caused by breathing and heartbeat. A deep learning architecture is designed for remote body and face detection. A novel algorithm is proposed for adaptive sensor and background noise cancellation. An air platform motion compensation algorithm is tested on video data collected on a drone. The key advantages are: low cost, requires very short video, works with many parts of a human body even when skin is not visible, works on any motion caused by eyes, mouth, heartbeat, breathing, or body parts, and works in all lighting conditions. To the author's best knowledge, this is the first work on video micro-motion based liveness detection on a moving platform and from a long standoff range of 100 m. Once a subject is deemed alive, video-based remote heart rate detection is applied to assess the physiological and psychological state of the subject. This is also the first work on outdoor remote heart rate detection from a long standoff range of 100 m. On a public available indoor COHFACE data evaluation, our heart rate estimation algorithm outperforms all published work on the same dataset.
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Ultra Wide Band radar is a promising technique for remote vital signs monitoring. For home monitoring and consumer devices, FCC rules pose severe limits to the available band and the maximum transmitted power. Furthermore, the tim...
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Ultra Wide Band radar is a promising technique for remote vital signs monitoring. For home monitoring and consumer devices, FCC rules pose severe limits to the available band and the maximum transmitted power. Furthermore, the time varying nature of vital signs, and the demand of low complexity devices require simple detection algorithms. In this paper vital signs are monitored with a FCC compliant system; in this scenario, low signal to noise ratio and short signal observations are the main issues for period detection. Therefore, a simple detection algorithm is proposed and compared with the widely used correlation based detection algorithm. Both theoretical analysis and experimental results show the efficiency of the proposed algorithm in the considered scenario.
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Ultra Wide Band radar is a promising technique for remote vital signs monitoring. For home monitoring and consumer devices, FCC rules pose severe limits to the available band and the maximum transmitted power. Furthermore, the tim...
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Ultra Wide Band radar is a promising technique for remote vital signs monitoring. For home monitoring and consumer devices, FCC rules pose severe limits to the available band and the maximum transmitted power. Furthermore, the time varying nature of vital signs, and the demand of low complexity devices require simple detection algorithms. In this paper vital signs are monitored with a FCC compliant system; in this scenario, low signal to noise ratio and short signal observations are the main issues for period detection. Therefore, a simple detection algorithm is proposed and compared with the widely used correlation based detection algorithm. Both theoretical analysis and experimental results show the efficiency of the proposed algorithm in the considered scenario.
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UltraWide Band radar is a promising technique for remote vital signs monitoring. For home monitoring and consumer devices, FCC rules pose severe limits to the available band and the maximum transmitted power. Furthermore, the time...
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UltraWide Band radar is a promising technique for remote vital signs monitoring. For home monitoring and consumer devices, FCC rules pose severe limits to the available band and the maximum transmitted power. Furthermore, the time varying nature of vital signs, and the demand of low complexity devices require simple detection algorithms. In this paper vital signs are monitored with a FCC compliant system; in this scenario, low signal to noise ratio and short signal observations are the main issues for period detection. Therefore, a simple detection algorithm is proposed and compared with the widely used correlation based detection algorithm. Both theoretical analysis and experimental results show the efficiency of the proposed algorithm in the considered scenario.
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