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Communication

Flexible Passive Sensor Patch with Contactless Readout for Measurement of Human Body Temperature

1
Department of Information Engineering, University of Brescia, 25123 Brescia, Italy
2
INO-CNR (National Institute of Optics—National Research Council), Via Branze 45, 25123 Brescia, Italy
*
Author to whom correspondence should be addressed.
Biosensors 2023, 13(6), 572; https://doi.org/10.3390/bios13060572
Submission received: 25 March 2023 / Revised: 12 May 2023 / Accepted: 18 May 2023 / Published: 23 May 2023
(This article belongs to the Special Issue Biosensors State-of-the-Art in Italy)

Abstract

:
A passive flexible patch for human skin temperature measurement based on contact sensing and contactless interrogation is presented. The patch acts as an RLC resonant circuit embedding an inductive copper coil for magnetic coupling, a ceramic capacitor as the temperature-sensing element and an additional series inductor. The temperature affects the capacitance of the sensor and consequently the resonant frequency of the RLC circuit. Thanks to the additional inductor, the dependency of the resonant frequency from the bending of the patch has been reduced. Considering a curvature radius of the patch of up to 73 mm, the maximum relative variation in the resonant frequency has been reduced from 812 ppm to 7.5 ppm. The sensor has been contactlessly interrogated by a time-gated technique through an external readout coil electromagnetically coupled to the patch coil. The proposed system has been experimentally tested within the range of 32–46 °C, giving a sensitivity of −619.8 Hz/°C and a resolution of 0.06 °C.

1. Introduction

Monitoring body temperature is crucial to diagnose the state of health and determine flaws related to human diseases in advance [1]. Typically, human body temperature is measured by relying on either contact or noncontact approaches. Contact approaches are typically more reliable, but may require the use of disinfecting agents and longer measurement time [2]. Contactless approaches provide faster temperature measurements at the expense of a lower reliability due to the interface medium transmission coefficient and sensor distance from the skin [2,3]. However, when continuous body-temperature measurements are required, e.g., in domestic or hospital environments, light, unobtrusive and battery-less contact sensors would be typically demanded. To achieve this purpose, the exploitation of flexible wearable sensors is progressively emerging as an effective approach for monitoring human body temperature [4,5,6,7]. Near-Field Communication (NFC)-based temperature sensors have been successfully employed in biomedical applications to develop battery-less skin patches [8]. These sensors employ on-board active electronic integrated circuits, typically a microcontroller with one or more connected sensors, that have to be energized by a reader to transmit the information retrieved through a digital communication protocol. As an alternative, solutions based on passive resonant sensors that can be suitably employed with flexible wearable sensors have been demonstrated [9,10].
A typical drawback of flexible sensors is the possible dependency of their performance on the bending of the substrate housing the sensing element [11,12], requiring appropriate techniques to eliminate or mitigate this undesired effect [13].
In this paper, a novel approach is proposed for human skin-temperature measurement that is based on a passive flexible patch combining contact-sensing with contactless interrogation. Specifically, this work extends this technique to a flexible sensor patch attached onto a curved surface and achieves contactless interrogation independently of the curvature radius of the flexible patch.
The fabricated patch can be stuck on the skin, e.g., the arm of a subject, and eventually be covered by clothing since a contactless interrogation technique is performed from a nearby interrogation unit.
Contactless measurement techniques have been adopted as an effective solution to interrogate sensors in applications where cabled or battery powered approaches are not feasible or are invasive [14,15].
Specifically, passive resonant sensors and electromagnetic interrogation techniques have been successfully validated for quartz crystal resonators (QCR) [16], resonant piezo-layer (RPL) sensors [17], MEMS resonators [18] and LC resonant sensors [15,19]. Both frequency-domain and time-domain approaches can be used for the contactless interrogation of such sensor type [16]. Frequency-domain techniques measure impedance, reflection coefficients or a specific transfer function by simultaneously exciting and sensing the resonator [20,21,22]. Conversely, time-domain techniques, as proposed in this paper, exploit the transient free response of the resonator by separating the excitation and detection phases in time [23]. For both techniques, the independency of the sensing quantities from the reading distance has been demonstrated [16].
The solution proposed in this work exploits a contactless interrogation technique based on the magnetic coupling between a passive sensor unit (SU) and an electronic interrogation unit (IU). The SU is based on an RLC resonant circuit and embeds a flexible patch with an inductive copper coil for magnetic coupling, a ceramic capacitor as the temperature-sensing element and an additional inductor to make the resonant frequency of the SU independent of the unavoidable bending of the patch that is inherent to the body conformation and movements. The IU includes a primary coil with front-end electronics for contactless excitation and read-out. The proposed approach of interrogating the passive SU offers high accuracy and, at the same time, paves the way to the fabrication of a fully integrated compact system, since the use of bench instrumentation for the readout of the resonant frequency is not required [24,25].

2. System Description

Figure 1a shows the typical application scenario for the proposed flexible patch, while Figure 1b reports the top and bottom views of the proof-of-concept prototype patch stuck on the arm skin of a human subject, respectively. The proposed sensor is expected to be positioned on body parts, e.g., the arm, neck or temple, with a curvature radius typically in the order of 70 mm. The patch is composed of a planar sensor coil with 10 turns of traces patterned onto a copper foil on an adhesive paper substrate of 43 mm × 23 mm.
The planar coil, with resistance R2 and inductance L2 is connected in series to the inductor with parameters R3 and L3, and to the ceramic capacitor Cs, which was adopted as the sensing element based on its temperature coefficient of capacitance (TCC). Both R3 and Cs are commercially available, lightweight components with millimeter-size dimensions, chosen not to limit the flexibility of the patch. An appropriate performance and adequate comfort can be obtained by adjusting the size and form factors of the components, as well as their placement with respect to the expected main bending direction of the patch. The capacitor Cs is coated with an epoxy resin, which prevents capacitance variation due to humidity. The contact between Cs and the skin required to measure temperature demands additional passivation of the soldering joints to avoid degraded sensing performances due to sweat or moisture.
The patch represents the SU of the proposed contactless interrogation system and its equivalent RLC circuit is shown in Figure 2, along with a schematic diagram of the IU. The primary coil L1 of the IU is magnetically coupled with the coil L2 of the SU through the mutual inductance M, which depends on the distance d between the coils.
The IU generates, by means of a Direct Digital Synthesis (DDS) chip with three independent channels, namely CH1, CH2 and CH3, the sinusoidal signals used to excite the SU and demodulate the signal received from the SU.
The excitation and detection phases are timed from the gating signal vG(t) generated by CH1 with period TG. In the excitation phase, a sinusoidal signal ve(t) at angular frequency ωe driving the coil L1 is generated by CH2 and amplified by A1.
Choosing ωe, close to ωs = 2πfs, the current induced in the coil L2, through the magnetic coupling with L1, causes the RLC circuit to resonate at its natural resonant frequency fs with quality factor Q, given by:
f s = 1 2 π L 2 + L 3 C s ,
Q = 1 R 2 + R 3 L 2 + L 3 C s .
Among the adopted components, the planar coil is the element that mostly depends on the bending or deformations of the patch. However, assuming L3 >> L2 and R3 >> R2, both fs and Q are independent of the electrical parameters of the planar coil, thus making the bending uninfluential.
After the excitation phase ends, the excitation signal ve(t) is switched off and the detection phase begins. The resonator undergoes free decaying oscillations at an angular frequency ωdm = ωs(1 − 1/(4Q2))1/2, inducing a current in L2. For Q ≈ 100, this results in a relative deviation (ωs – ωdm)/ωs ≈ 10−5. Consequently, the voltage v1(t) across L1 can be sensed and amplified by A3, providing the voltage vO1(t), which is down-converted by the analog multiplier M1 that mixes it with the reference signal vR(t) = VRcos(ωRt) generated by CH3 and amplified by A2.
The resulting signal is fed to the low-pass filter LPF and amplified by A4, leading to the sinusoidal damped signal vO(t) with angular frequency ωO = |ωdmωR| and decay time τm = 2Q/ωs. As validated in [23], ωO and τm are not affected by the interrogation distance d.
To determine ωO, the signal vO(t) is digitized and its autocorrelation function Rxx(τ) is computed. The expression of Rxx(τ) is:
R xx τ = 1 4 M A O 2 e τ / τ m τ m c o s ω o τ + c o s ω o τ + 2 θ m + arctan ω o τ m 1 / τ m 2 + ω o 2 .
The autocorrelation function Rxx(τ) can be used to determine ωO. Assuming that the reference frequency ωR is constant and stable, the original angular frequency of vO1(t) can be derived as ωdm = ωR ± ωO, and its variation Δωdm can be attributed to the frequency variations in the SU resonant RLC circuit.

3. Experimental Results

The fabricated SU was experimentally characterized by means of an impedance analyzer (HP4194A), obtaining a resonant frequency fs at room temperature of 1.634 MHz. The SU coil has R2 = 5.53 Ω and L2 = 5.07 µH without bending, while the additional series inductor with dimensions of 10 mm × 2.5 mm has R3 = 196.85 Ω and L3 = 545.25 µH, measured at fs. The capacitive temperature-sensing element is a ceramic capacitor with Cs = 17.02 pF at 20 °C. The IU coil, which is a 6-turn planar coil milled from an 80 mm × 80 mm standard flame-retardant (FR4) substrate, has R1 = 7.18 Ω and L1 = 8.94 μH.
Firstly, the effects of different patch bending conditions on the sensor coil were investigated by measuring the corresponding variations in L2 and R2. Figure 3a shows the dedicated setup, which was purposely adopted to ensure a controlled bending of the patch. The patch was attached to a flexible FR4 support. A C-shaped fixture with an aperture C = 86 mm was installed on a micrometric position controller, which allows for the flexible support to be grabbed close to its outer edges.
The micrometric position controller forces a displacement a of the outer edges, and thus a bending of the patch. With reference to Figure 3b, assuming that the deformation can be approximated to an arc of a circumference, by applying Pythagorean theorem to the triangle AOB the curvature radius r can be derived as:
r = C 2 8 a + a 2 .
Figure 4 shows the values of L2 and R2 as function of r from 73 to 925 mm, measured at the SU resonant frequency fs = 1.634 MHz. As expected, the inductance of the patch monotonically rises for increasing curvature radius values [11,12,13]. According to (1), the variation of L2 induces a variation in fs. Considering the case with L3 = 0, the maximum relative variation in fs caused by bending with respect to fs0 when a = 0 results in Δfs/fs0 = 812 ppm. On the other hand, when L3 is placed in series with L2, the maximum relative variation of fs decreases to Δfs/fs0 = 7.5 ppm. In summary, the insertion of the additional inductance advantageously reduces the frequency relative variation due to bending by two orders of magnitude.
According to (1) and (2), the theoretical values of fs and Q with the additional inductor L3 and a = 0 are fs0 = 1.644 MHz and Q0 = 28.
To test the sensor ability to detect the temperature T, a tailored experimental setup was fabricated, as shown in Figure 5a. A chamber with an internal volume of (80 × 80 × 40) mm3 was assembled from a plastic box surrounded by polystyrene foam for thermal insulation.
A Peltier thermoelectric element installed at the bottom of the chamber was used to electrically set the temperature of the inner volume.
The sensor patch was placed on the top of the chamber in adherence with the cover. A Pt1000 temperature sensor read by a multimeter (Fluke 8840) was placed in thermal contact with the SU and used as a reference temperature sensor. The primary coil L1 of the IU was placed outside the cover at a distance d = 2 mm from the SU patch.
The contactless reading of the patch sensor was tested within the temperature range 32–46 °C. The IU, shown in Figure 5b, was set up to excite the resonator close to fs with fe = ωe/2π = 1.634 MHz and fR = ωR/2π = 1.734 MHz. Figure 6 shows the measured gating signal vG(t) and the output signal vO(t), sampled at 2 MS/s.
The frequency fdm = ωdm/2π was derived via the autocorrelation function as expressed in (3). Figure 7 shows the obtained values of fdm, measured as a function of temperature T.
The best-fit line for the experimental data provides a temperature sensitivity S of −619.8 Hz/°C, with a non-linearity error within ±1.48% of the span of about 8.3 kHz for the explored temperature range.
At the constant temperature of 28 °C, 150 repeated measurements of the frequency fdm were performed, obtaining the results plotted in Figure 8a. The distribution histogram shown in Figure 8b leads to a standard deviation for fdm of σfdm = 37 Hz. Considering the sensitivity S, the corresponding standard deviation for the temperature σT = σfdm/|S| results equal 0.06 °C, which can be considered the equivalent temperature resolution at one σ. This value is compliant with the application for body-temperature measurements. Considering the maximum variation Δfs due to the variation of L2 caused by the bending of the patch for a minimum curvature radius of 73 mm, the corresponding maximum error in the temperature reading is Δfs/S = 0.019 °C, which is lower than the obtained resolution. Since the frequency fs is mainly affected by L3, and since L3 is not affected by bending, the temperature measurements achieved at different curvature radii provide comparable results.
The stability of the proposed system over time was validated by placing the sensor patch in the testing chamber of Figure 5a at a temperature of about 36 °C while reading a reference temperature with a Pt1000 sensor and the resonant frequency of the patch every 1 min over a timeframe of 4 h. Figure 9a shows the reference temperature T and fdm as a function of time, while Figure 9b shows the values of fdm as a function of T.
The best-fit line for the experimental data gives a temperature sensitivity S of −617.8 Hz/°C, in good agreement with the sensitivity obtained exploring the temperature range 32–46 °C. The obtained confirmed relationship between resonant frequency and temperature proves the absence of any significant drift in the sensor output on a time scale of hours.

4. Conclusions

A passive flexible patch for body-temperature measurements combining contact sensing with contactless readout by a nearby interrogation unit has been presented. The flexible patch, forming the sensor unit, is composed of an inductive copper coil for magnetic coupling, a ceramic capacitor as the temperature-sensing element based on its TCC, and an additional inductor to make the resonant frequency of the resulting resonant RLC circuit independent of the bending of the patch. The contactless reading exploits the magnetic coupling between the interrogation and sensor units and operates by switching between excitation and detection phases. The readout signal is down-mixed with a reference signal and the frequency of the sensor unit related to the measured temperature is obtained by a digital elaboration based on autocorrelation. A proof-of-concept prototype was developed by employing a paper-based flexible patch and off-the-shelf components. The prototype was experimentally tested within the temperature range 32–46 °C, offering a sensitivity of −619.8 Hz/°C and a resolution of 0.06 °C. Thanks to the additional inductor introduced in the resonant RLC circuit of the patch, the maximum variation of the resonant frequency due to the effect of the patch-bending was reduced to 7.5 ppm for a minimum curvature radius of 73 mm, leading to an equivalent maximum error in the temperature reading of 0.019 °C.
Future developments will consider the fabrication of the patch sensor by adopting a biocompatible substrate to allow for clinical experimentation.

Author Contributions

Design and development of the electronic circuits M.Z., M.B. and M.F.; experimental activity, M.Z., M.B. and A.N.; analysis of experimental data, M.Z. and M.F.; writing—original draft preparation, M.Z.; review and editing, M.Z., A.N., M.B., M.F. and V.F.; conceptualization and supervision, V.F. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. (a) Typical application scenario for the temperature sensor patch; (b) top and bottom view of the sensor patch stuck on the arm skin of a human subject.
Figure 1. (a) Typical application scenario for the temperature sensor patch; (b) top and bottom view of the sensor patch stuck on the arm skin of a human subject.
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Figure 2. Block diagram of the proposed contactless interrogation system.
Figure 2. Block diagram of the proposed contactless interrogation system.
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Figure 3. (a) Developed setup composed of a position controller with micrometric resolution that allows to bent the flexible support for the SU patch to test the effect on the resonant frequency; (b) schematic representation of the flexible support circumference arc.
Figure 3. (a) Developed setup composed of a position controller with micrometric resolution that allows to bent the flexible support for the SU patch to test the effect on the resonant frequency; (b) schematic representation of the flexible support circumference arc.
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Figure 4. Measurement results of the inductance L2 and resistance R2 of the SU coil as function of the curvature radius r.
Figure 4. Measurement results of the inductance L2 and resistance R2 of the SU coil as function of the curvature radius r.
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Figure 5. (a) Plastic box test chamber surrounded by polystyrene foam for thermal insulation equipped with a Peltier thermoelectric element at the bottom to set the temperature of the inner volume; (b) interrogation unit and acquisition board used to test the proposed system.
Figure 5. (a) Plastic box test chamber surrounded by polystyrene foam for thermal insulation equipped with a Peltier thermoelectric element at the bottom to set the temperature of the inner volume; (b) interrogation unit and acquisition board used to test the proposed system.
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Figure 6. Acquired gating signal vG(t) (blue curve) and demodulated free decaying response vO(t) of the resonator (orange curve) as a function of time.
Figure 6. Acquired gating signal vG(t) (blue curve) and demodulated free decaying response vO(t) of the resonator (orange curve) as a function of time.
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Figure 7. Contactless measurement results of the SU frequency fdm (blue circles), best fit line (red line) and non-linearity error (yellow dots) as a function of temperature.
Figure 7. Contactless measurement results of the SU frequency fdm (blue circles), best fit line (red line) and non-linearity error (yellow dots) as a function of temperature.
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Figure 8. (a) Results of 150 repeated measurements of fdm at a constant temperature of 28 °C; (b) distribution histogram of the 150 measurement results with bins of 214 Hz.
Figure 8. (a) Results of 150 repeated measurements of fdm at a constant temperature of 28 °C; (b) distribution histogram of the 150 measurement results with bins of 214 Hz.
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Figure 9. (a) Reference temperature T measured with a Pt1000 sensor (orange curve) and fdm (blue curve) as a function of time; (b) fdm (blue circles), best fit line (red line) and non-linearity error (yellow dots) as a function of T measured versus time.
Figure 9. (a) Reference temperature T measured with a Pt1000 sensor (orange curve) and fdm (blue curve) as a function of time; (b) fdm (blue circles), best fit line (red line) and non-linearity error (yellow dots) as a function of T measured versus time.
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MDPI and ACS Style

Zini, M.; Baù, M.; Nastro, A.; Ferrari, M.; Ferrari, V. Flexible Passive Sensor Patch with Contactless Readout for Measurement of Human Body Temperature. Biosensors 2023, 13, 572. https://doi.org/10.3390/bios13060572

AMA Style

Zini M, Baù M, Nastro A, Ferrari M, Ferrari V. Flexible Passive Sensor Patch with Contactless Readout for Measurement of Human Body Temperature. Biosensors. 2023; 13(6):572. https://doi.org/10.3390/bios13060572

Chicago/Turabian Style

Zini, Marco, Marco Baù, Alessandro Nastro, Marco Ferrari, and Vittorio Ferrari. 2023. "Flexible Passive Sensor Patch with Contactless Readout for Measurement of Human Body Temperature" Biosensors 13, no. 6: 572. https://doi.org/10.3390/bios13060572

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