Description of a PortableWireless Device for High-Frequency Body Temperature Acquisition and Analysis

Cuesta–Frau, David; Varela, Manuel; Miró-Martínez, Pau

doi:10.3390/s91007648

Cited by 16 publications

(17 citation statements)

References 16 publications

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“…The evaluation of the system proved that it is possible to reach a good accuracy without a specific calibration using components with a high tolerance. This observation was validated by the design stage uncertainty analysis discussed previously and is also consistent with other similar studies, such as in [ 21 ] where an accuracy of 0.2 °C was achieved by carefully designing a circuit with high precision components. In our case, a temperature error of 0.26 °C was observed.…”

Section: Discussionsupporting

confidence: 89%

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A High Precision, Wireless Temperature Measurement System for Pervasive Computing Applications

Goumopoulos

2018

Sensors

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This paper describes the design and calibration of a highly accurate temperature measurement system for pervasive computing applications. A negative temperature coefficient (NTC) thermistor with high resistance tolerance is interfaced through a conditioning circuit to a 12-bit digital converter of a wireless microcontroller. The system is calibrated to minimize the effect of component uncertainties and achieves an accuracy of ±0.03 °C on average (±0.05 °C in worst cases) in a 5 °C to 45 °C range. The calibration process is based on a continuous temperature sweep, while calibration data are simultaneously logged to reduce the delays and cost of conventional calibration approaches. An uncertainty analysis is performed to support the validity of the reported performance results. The described approach for interfacing the thermistor to the hardware platform can be straightforwardly adjusted for different thermistors, temperature ranges/accuracy levels/resolutions, and voltage ranges. The low power communication combined with the energy consumption optimization adopted enable an operation to be autonomic for several months to years depending on the application’s measurement frequency requirements. The system cost is approximately $45 USD in components, while its design and compact size allow its integration with extended monitoring systems in various pervasive computing environments. The system has been thoroughly tested and validated in a field trial concerning a precision agriculture application and is currently used in a health monitoring application.

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Section: Discussionsupporting

confidence: 89%

“…In the medical domain, a portable device with two thermistor channels for measuring body temperature is reported in [ 21 ]. The device is intended for clinical practice use, achieving a resolution of 0.01 °C, an accuracy of ±0.2 °C, and an operation autonomy of up to 10 days using a measurement frequency of 0.02 Hz.…”

Section: Introductionmentioning

confidence: 99%

A High Precision, Wireless Temperature Measurement System for Pervasive Computing Applications

Goumopoulos

2018

Sensors

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“…They were also required to be over 18 and under 85 years of age and to have been admitted for less than a week. Central and peripheral temperatures were recorded with two sensors placed in the external auditory canal (Mon-a-Therm Tympanic Temperature Probe, Covidien) for central temperature and in the cubital aspect of the forearm (Mon-a-Therm Skin Temperature Probe, Covidien) for peripheral temperature, and stored every minute for 24h using a temperature Holter device (TherCom, Innovatec) described elsewhere [7]. The results of different analyses performed on those series have been published in [5].…”

Section: Training Experimental Setmentioning

confidence: 99%

Statistical models for fever forecasting based on advanced body temperature monitoring

Jordan

Miró-Martínez

Vargas

et al. 2017

Journal of Critical Care

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ÔØ Å ÒÙ× Ö ÔØThis is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Keywords Thermometry · Fever · Temperature monitoring · Infectious diseases · Entropy · ApEn A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPTAbstract Body temperature monitoring provides healthcarers with key clinical information about the physiological status of patients. Temperature readings are taken periodically to detect febrile episodes and consequently implement the appropriate medical countermeasures. However, fever is often difficult to assess at early stages, or remains undetected until the next reading, probably a few hours later. The objective of this paper is to develop a statistical model to forecast fever before a temperature threshold is exceeded to improve the therapeutic approach to the subjects involved. To this end, temperature series of nine patients admitted to a general Internal Medicine ward were obtained with a continuous monitoring holter device, collecting measurements of peripheral and core temperature once per minute. These series were used to develop different statistical models that could quantify the probability of having a fever spike in the following 60 minutes. A validation series was collected to assess the accuracy of the models. Finally, the results were compared with the analysis of some series by experienced clinicians. Two different models were developed: a logistic regression model and a linear discrimination analysis model. Both of them exhibited a fever peak forecasting accuracy above 84%. When compared with experts assessment, both models identified 35 out of 36 fever spikes (97.2%). The models proposed are highly accurate in forecasting the appearance of fever spikes within a short period of time in patients with suspected or confirmed febrile related illnesses.

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“…We eventually decided to search for a pattern in the fever, so we used a TherCom device for temperature monitoring with a tympanic probe (a thermistor sensor was placed in the external auditory canal) 1 2. The line chart is shown in figure 3.…”

Section: Treatment Outcome and Follow-upmentioning

confidence: 99%

Neurogenic fever in a patient with a chordoid glioma

Carretero¹,

Brugera

Vázquez-Gómez

et al. 2016

BMJ Case Reports

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Chordoid gliomas are rare tumours. Despite being considered low-grade neoplasms, recent reviews have reported generally poor prognosis due to complications involving severe hypothalamic symptoms. We report a patient aged 30 years with chordoid glioma. What makes this case report interesting is the presence of neurogenic fever, which was already present before the final diagnosis of the brain tumour and also several months after the surgical removal. Since the patient underwent a subtotal resection of the tumour, it remains unclear whether the fever was due to hypothalamic dysfunction or remnants of the tumour. We also performed temperature logging with a continuous-monitoring recording device.

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Description of a PortableWireless Device for High-Frequency Body Temperature Acquisition and Analysis

Cited by 16 publications

References 16 publications

A High Precision, Wireless Temperature Measurement System for Pervasive Computing Applications

A High Precision, Wireless Temperature Measurement System for Pervasive Computing Applications

Statistical models for fever forecasting based on advanced body temperature monitoring

Neurogenic fever in a patient with a chordoid glioma

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