Optical-fiber finger photo-plethysmograph using digital techniques

Lygouras, John N.; Tsalides, Ph.

doi:10.1109/7361.987057

Cited by 16 publications

(8 citation statements)

References 6 publications

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“…However, a sensor that sticks to the skin may induce discomfort. The same questions exist in the system in [27] designed by Cuadras and Casas, which estimated heart rate by utilizing a high-resolution temperature measurement system to measure the temperature fluctuations of human skin, and the systems in [28] and [29].…”

Section: B Measurement Techniquesmentioning

confidence: 99%

An Intelligent Noninvasive Sensor for Driver Pulse Wave Measurement

et al. 2007

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Noninvasive sensors to detect human physiological parameters are becoming more and more important. This is especially useful to monitor driver state as driver-vehicle system is a safety-critical system. Unfortunately, current technologies in these noninvasive sensors development are not satisfactory. In this research, we developed an intelligent integrated device called "smart wheel" to monitor drivers' physiology. Specifically, a group of polyvinylidene fluoride (PVDF) sensor, semiconductor temperature sensor, and piezoresistive sensor were integrated into a driving steering wheel. The developed device has the capability of measuring a driver's pulse wave, breathing wave, skin temperature, and gripping force in a noninvasive manner and in real time. A pilot experiment was carried out to verify the pulse wave measurement of this intelligent sensor and the result was found satisfactory.Index Terms-Driver-vehicle system, intelligent sensor, noninvasive, physiological parameter, pulse wave.

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Section: B Measurement Techniquesmentioning

confidence: 99%

An Intelligent Noninvasive Sensor for Driver Pulse Wave Measurement

et al. 2007

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“…While many pulse-measuring devices have been developed based on different sensing techniques, such as piezoresistive, photoelectric, and piezoelectric methods [ 4 , 5 , 6 , 7 ], they are mostly single-probe sensors that convert the spatial variations of pulses into a simple output of electrical signals. These single-point sensing devices can only obtain limited information because they cannot reflect the detailed changes in the pulse.…”

Section: Introductionmentioning

confidence: 99%

Traditional Chinese Medicine Pulse Diagnosis on a Smartphone Using Skin Impedance at Acupoints: A Feasibility Study

Lan

Litscher

Hung

2020

Sensors

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In traditional Chinese medicine (TCM), pulse diagnosis is one of the most important methods for diagnosis. A pulse can be felt by applying firm fingertip pressure to the skin where the arteries travel. The pulse diagnosis has become an important tool not only for TCM practitioners but also for several areas of Western medicine. Many pulse measuring devices have been proposed to obtain objective pulse conditions. In the past, pulse diagnosis instruments were single-point sensing methods, which missed a lot of information. Later, multi-point sensing instruments were developed that resolved this issue but were much higher in cost and lacked mobility. In this article, based on the concept of sensor fusion, we describe a portable low-cost system for TCM pulse-type estimation using a smartphone connected to two sensors, including one photoplethysmography (PPG) sensor and one galvanic skin response (GSR) sensor. As a proof of concept, we collected five-minute PPG pulse information and skin impedance on 24 acupoints from 80 subjects. Based on these collected data, we implemented a fully connected neural network (FCN), which was able to provide high prediction accuracy (>90%) for patients with a TCM wiry pulse.

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“…This approach is attracting more attention from the viewpoint of its many medical applications [2,7]. The studies referenced attempted to suppress the uncertainty inherent in the raw data representing the PPG signals including the information of blood-pulse wave, which is due to diverse factors including body posture and age [8,9].…”

Section: Introductionmentioning

confidence: 99%

“…In trying to noninvasively detect alcohol intake, many studies have focused on optical analysis of the photoplethysmogram (PPG) signal [1][2][3][4][5][6]. This approach is attracting more attention from the viewpoint of its many medical applications [2,7].…”

Section: Introductionmentioning

confidence: 99%

Advanced method to mask smoking effect on alcoholic intake detection based on photoplethysmogram signal analysis

2012

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This paper proposes an advanced and reliable alcoholic-intake detection method that analyzes the subject's photoplethysmogram (PPG) signal. Since smoking and physical exercise as well as alcohol intake are crucial determiners of the body's response, we must analyze how they influence the PPG signal in detecting alcohol intake. In contrast to past studies, it is revealed that the respiratory signal is very useful for alcoholintake detection regardless of smoking and physical exercise, and a more reliable alcohol intake detection method is demonstrated. The proposed analytical methods consider not only the harmonic intensity ratio of the PPG signal, but also the oxygen-saturation level (SpO 2 ) in the artery.

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Optical-fiber finger photo-plethysmograph using digital techniques

Cited by 16 publications

References 6 publications

An Intelligent Noninvasive Sensor for Driver Pulse Wave Measurement

An Intelligent Noninvasive Sensor for Driver Pulse Wave Measurement

Traditional Chinese Medicine Pulse Diagnosis on a Smartphone Using Skin Impedance at Acupoints: A Feasibility Study

Advanced method to mask smoking effect on alcoholic intake detection based on photoplethysmogram signal analysis

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