Development of a Wireless Health Monitoring System for Measuring Core Body Temperature from the Back of the Body

In this paper, a user-friendly and low-cost wireless health monitoring system that measures skin temperature from the back of the body for monitoring the core body temperature is proposed. To measure skin temperature accurately, a semiconductor-based microtemperature sensor with a maximum accuracy of ±0.3°C was chosen and controlled by a high-performance/low-power consumption Acorn-Reduced Instruction Set Computing Machine (ARM) architecture microcontroller to build the temperature measuring device. Relying on a 2.4 GHz multichannel Gaussian frequency shift keying (GFSK) RF communication technology, up to 100 proposed temperature measuring devices can transmit the data to one receiver at the same time. The shell of the proposed wireless temperature-measuring device was manufactured via a 3D printer, and the device was assembled to conduct the performance tests and in vivo experiments. The performance test was conducted with a K-type temperature sensor in a temperature chamber to observe temperature measurement performance. The results showed an error value between two devices was less than 0.1°C from 25 to 40°C. For the in vivo experiments, the device was attached on the back of 10 younger male subjects to measure skin temperature to investigate the relationship with ear temperature. According to the experimental results, an algorithm based on the curve-fitting method was implemented in the proposed device to estimate the core body temperature by the measured skin temperature value. The algorithm was established as a linear model and set as a quadratic formula with an interpolant and with each coefficient for the equation set with 95% confidence bounds. For evaluating the goodness of fit, the sum of squares due to error (SSE), R-square, adjusted R-square, and root mean square error (RMSE) values were 33.0874, 0.0212, 0.0117, and 0.3998, respectively. As the experimental results have shown, the mean value for an error between ear temperature and estimated core body temperature is about ±0.19°C, and the mean bias is 0.05 ± 0.14°C when the subjects are in steady status.

[1]  T. Takken,et al.  INDIRECT MEASUREMENT OF CORE TEMPERATURE DURING WORK: CLOTHING AND ENVIRONMENTAL INFLUENCES , 2005 .

[2]  D. Moher,et al.  Hypothermia therapy after traumatic brain injury in children. , 2008, The New England journal of medicine.

[3]  Russell O. Potts,et al.  Effect of current, ionic strength and temperature on the electrical properties of skin , 1993 .

[4]  S. Bhansali,et al.  A planar micro-sensor for bio-impedance measurements , 2005 .

[5]  S. Mayer,et al.  Hypothermia therapy after traumatic brain injury in children. , 2008, The New England journal of medicine.

[6]  Jin-Ho Cho,et al.  Body temperature predicting Patch-Type telemedicine system , 2009, IEICE Electron. Express.

[7]  Impedimetric monitoring of cell attachment on interdigitated microelectrodes , 2005 .

[8]  Alireza Abdi,et al.  Accuracy and precision of four common peripheral temperature measurement methods in intensive care patients , 2016, Medical devices.

[9]  Märtha Sund-Levander,et al.  Normal oral, rectal, tympanic and axillary body temperature in adult men and women: a systematic literature review. , 2002, Scandinavian journal of caring sciences.

[10]  Dan Higgins,et al.  Measuring body temperature. , 2012, Nursing times.

[11]  Agnes Psikuta,et al.  Prediction of human core body temperature using non-invasive measurement methods , 2013, International Journal of Biometeorology.

[12]  Reinhold H Dauskardt,et al.  Mechanical properties of human stratum corneum: effects of temperature, hydration, and chemical treatment. , 2006, Biomaterials.

[13]  J. Rosell,et al.  Skin impedance from 1 Hz to 1 MHz , 1988, IEEE Transactions on Biomedical Engineering.

[14]  Vladimir Tvarozek,et al.  Thin film non-symmetric microelectrode array for impedance monitoring of human skin , 2003 .

[15]  Developing an education framework for stroke. , 2012, Nursing times.

[16]  J. Shaver,et al.  Axillary and Thoracic Skin Temperatures Poorly Comparable to Core Body Temperature Circadian Rhythm: Results from 2 Adult Populations , 2004, Biological research for nursing.

[17]  G. Kelly,et al.  Body temperature variability (Part 2): masking influences of body temperature variability and a review of body temperature variability in disease. , 2007, Alternative medicine review : a journal of clinical therapeutic.