Fever screening of seasonal influenza patients using a cost-effective thermopile array with small pixels for close-range thermometry

Sun, Guanghao; Saga, Tadafumi; Shimizu, Takao; Hakozaki, Yukiya; Matsui, Takemi

doi:10.1016/j.ijid.2014.03.1398

Cited by 28 publications

(15 citation statements)

References 5 publications

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“…Subsequently, the collected signals were digitized at a 60 Hz sampling rate with a 24-bit Linux-based data acquisition board (Incite Technology Ltd. USB-DUX-SIGMA, UK). The compact thermopile array receives infrared rays from facial skin at $2000 pixels and converts the rays into voltage through a thermopile [18]. The thermal image data were obtained at 6-Hz intervals through a serial peripheral interface bus to a microcomputer.…”

Section: The System Concept and Designmentioning

confidence: 99%

“…Because facial temperature is much higher than the surrounding ambient temperature, the region of interest (ROI) in the thermo-image can be extracted by setting a threshold to 25 C [18]. After the ROI processing, subsequent morphological filters with opening and closing operators were applied to the ROI area for removing the noise in the thermo-image [24].…”

Section: Signal and Thermal Image Processingmentioning

confidence: 99%

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A compact and hand-held infection-screening system for use in rapid medical inspection at airport quarantine stations: system design and preliminary validation

Sun

Miyata

Matsuoka

et al. 2015

Journal of Medical Engineering & Technology

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To conduct mass screening and thereby reduce the spread of infection, a compact (13.5 cm × 8.5 cm × 2.5 cm), highly-mobile and hand-held infection-screening system was developed for rapid medical inspection in mass gathering places such as airports. The system is capable of non-contact vital-sign monitoring using two integrated sensors: a 24-GHz microwave radar for measuring heart and respiration rates and a thermopile array for capturing facial temperature. Subsequently, the system detects infected individuals using a linear discriminant function (LDA) from the derived vital-signs data. The system was tested on 10 subjects under two conditions (resting as normal and exercising as pseudo-infected, i.e. a 10-min bicycle ergometer at 100 W exercise); the normal and pseudo-infected conditions were classified successfully via LDA for all subjects (p < 0.01; classification error rate < 5%). The proposed non-contact system can be applied for preventing secondary exposure of medical doctors at the outbreak of highly pathogenic infectious diseases such as the Ebola virus.

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Section: The System Concept and Designmentioning

confidence: 99%

Section: Signal and Thermal Image Processingmentioning

confidence: 99%

A compact and hand-held infection-screening system for use in rapid medical inspection at airport quarantine stations: system design and preliminary validation

Sun

Miyata

Matsuoka

et al. 2015

Journal of Medical Engineering & Technology

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“…In medical applications, IR thermography has been widely used; this is because it is a safe, non-invasive and low-cost technique [24]. Some of its applications include: the treatment of diabetes [25], quick detection of seasonal influenza [26], study of eye diseases [27], the analysis of chronic pain [28] and mainly in the diagnosis of one of the most important diseases of recent times, cancer [29]. Cancer diagnosis using IR thermography is possible since there is a relation between an increment of temperature in the skin and the presence of a tumor, as established by [30].…”

Section: Introductionmentioning

confidence: 99%

Supportive Noninvasive Tool for the Diagnosis of Breast Cancer Using a Thermographic Camera as Sensor

Garduño-Ramón

Vega-Mancilla

Morales-Henández

et al. 2017

Sensors

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Breast cancer is the leading disease in incidence and mortality among women in developing countries. The opportune diagnosis of this disease strengthens the survival index. Mammography application is limited by age and periodicity. Temperature is a physical magnitude that can be measured by using multiple sensing techniques. IR (infrared) thermography using commercial cameras is gaining relevance in industrial and medical applications because it is a non-invasive and non-intrusive technology. Asymmetrical temperature in certain human body zones is associated with cancer. In this paper, an IR thermographic sensor is applied for breast cancer detection. This work includes an automatic breast segmentation methodology, to spot the hottest regions in thermograms using the morphological watershed operator to help the experts locate the tumor. A protocol for thermogram acquisition considering the required time to achieve a thermal stabilization is also proposed. Breast thermograms are evaluated as thermal matrices, instead of gray scale or false color images, increasing the certainty of the provided diagnosis. The proposed tool was validated using the Database for Mastology Research and tested in a voluntary group of 454 women of different ages and cancer stages with good results, leading to the possibility of being used as a supportive tool to detect breast cancer and angiogenesis cases.

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“…The main applications of these sensors are non-contact temperature measurements and measurements of infrared radiation used in medical procedures [6]- [8], monitoring and process control [9]- [11], security systems [12], [13] and biological experiments [14] where the temperature is important. In [7] a thermopile array for detecting fever patients with infectious diseases in the clinical setting was developed. In [9] a calorimeter based on a thermopile was built for determining the heat output associated with the growth of microorganism cultures.…”

Section: Introductionmentioning

confidence: 99%

An Inverse Linearization Model for the Characterization of Non-Contact Thermopiles

Botero

Salazar

2016

International Journal on Smart Sensing and Intelligent Systems

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A thermopile is an electronic device that converts thermal energy into electrical energy by means of arrangements of thermocouples that are connected in series. In addition, optical filters restrict the wavelength that strikes the thermopile. One of the main advantages of using a thermopile is its sensitivity to infrared radiation, which allows implementing non-contact thermometers. However, the thermopile does not provide an absolute temperature value, but a value that is proportional to the temperature gradient between the local temperature in the measurement range of the thermopile and its internal temperature. Therefore, it is necessary to integrate temperature sensors aiming to correct the output temperature value. In this sense, the output of the thermopile corresponds to a value generated from the relationship between the internal temperature of the thermopile and the output temperature. This work proposes and evaluates a thermopile characterization model, which uses an incubation system and a thermoelectric cooling device to control the room temperature and the temperature that is read out using the thermopile, respectively. This is based on the automation of the data collection procedure and the characterization of the thermistor that is used to measure the temperature of the thermopile. The result is an experimental operating surface, from which a linearization model was derived.

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Fever screening of seasonal influenza patients using a cost-effective thermopile array with small pixels for close-range thermometry

Abstract: Our cost-effective thermopile array appears promising for future close-range fever screening of patients with infectious diseases at primary care doctor clinics, health care centers, and quarantine stations in developing and developed countries.

Cited by 28 publications

References 5 publications

A compact and hand-held infection-screening system for use in rapid medical inspection at airport quarantine stations: system design and preliminary validation

A compact and hand-held infection-screening system for use in rapid medical inspection at airport quarantine stations: system design and preliminary validation

Supportive Noninvasive Tool for the Diagnosis of Breast Cancer Using a Thermographic Camera as Sensor

An Inverse Linearization Model for the Characterization of Non-Contact Thermopiles

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