1. Introduction
Conventional methods of monitoring vital signs, such as an electrocardiogram (ECG), pulse oximetry, and capnography, require sensors to be attached directly to the patient’s body, which is either uncomfortable for the patient or not possible under certain circumstances [
1,
2,
3,
4,
5,
6,
7,
8]. Due to the fact that sensors do not require direct contact with the body, remote monitoring of vital signs with a Doppler radar is more convenient than conventional methods [
8]. This makes remote monitoring of vital signs with a Doppler radar an attractive option. A Doppler radar is a non-contact technology that can detect small movements of the body caused by the heartbeat and breathing. This technology has the potential to revolutionize healthcare by providing continuous and non-invasive monitoring of vital signs, particularly for patients who require frequent monitoring or who are in critical condition. Remote vital sign monitoring (RVSM) with a Doppler radar has the potential to be used in a variety of disciplines, including general and specialised healthcare, emergency services, security, and defence. However, for RVSM to be useful in practice, further research needs to be conducted on the accuracy and reliability of the results in different settings and populations [
1,
2,
3,
4,
5,
6,
7,
8,
9,
10].
The main advantages of using millimetre-wave frequencies for RVSM are (i) higher detection sensitivity due to shorter signal wavelengths, (ii) smaller form factors for more compact devices, and (iii) the ability to transmit and receive signals more precisely without interference from the environment [
4,
9]. Conventional methods such as electrocardiography (ECG) and photoplethysmography (PPG) require physical contact with the subject, which can be uncomfortable and can interfere with normal activity. Additionally, ECG and PPG provide measurements at a single point in time, while millimetre-wave technology can provide continuous monitoring over an extended period. Furthermore, ECG and PPG are often limited in their ability to penetrate through clothing and tissue, which can limit their accuracy in certain situations.
The 60 GHz frequency band (57–66 GHz) has attracted RVSM interest due to its licence-free nature and its widespread use for several different wireless services. Antennas that operate in this band are particularly challenging to design and fabricate. RVSM measurements require the focus of the antenna beams, as well as enough gain to compensate for path loss in order to achieve high precision. Moreover, antenna beam steering capability is necessary to continuously monitor health with a fixed position sensor over a long period of time, especially when the person may move in practical scenarios, such as during sleep, inside a room, during transport in an ambulance, and at work [
11,
12,
13]. Some examples of beam-steered antenna applications for RVSM are depicted in
Figure 1.
Recent publications [
4,
8,
9] discuss the design of mm-wave antennas for health monitoring with a Doppler radar. However, these are fixed beam antennas, and their gain does not exceed 20 dBi. Recent reports have shown that digital beamforming antenna systems operating in the mm-waveband can be used in a variety of industrial and automotive applications. In RVSM sensors, spatial arrays, compressive sensing, route sharing, and MIMO antennas have high power requirements, which limits their application. Furthermore, their hardware is complicated and expensive. The development of beam steering antennas for use in health monitoring on mm-waves has received a limited number of papers to the best of our knowledge. According to [
11,
13,
14], this is likely the result of the limited frequency of electronic components available today.
Leaky wave antennas (LWAs) are a special family of antennas that are able to steer their beam with frequency [
15]. They provide a number of advantages that makes them very suitable for RVSM application. These advantages include beam steering with frequency, which allows the antenna beam to be directed towards the subject of interest without any mechanical rotation; high directivity and bandwidth, which improves the signal-to-noise ratio and increases the range of the system; low profile, which makes such antennas suitable for use in compact and portable monitoring systems.
Our study presents a multi-layer LWA used for remote vital signs detection in a typical situation in which a patient is lying on the bed and has some random movements during sleep. The non-contact detection of vital signs can be achieved using antenna beam characteristics that provide high gain (58–66 GHz) and wide bandwidth performance. A measured antenna bandwidth of 8 GHz and a maximum gain of 24 dBi are measured across the operating band. The proposed antennas are tested experimentally to validate their predicted detection coverage. This antenna design measures the respiratory rate (BR) and the heart rate (HR) from a distance of up to 4 m from the body of the person at five different radiation angles between and . A very good agreement between the measured results and the predicted and simulated results has been achieved.
This work is an improvement from the antennas already published in [
16,
17]. The reported antenna bandwidth, maximum gain, and beam scanning range in [
16] are 3.78 GHz, 20.35 dBi, and
, respectively, compared to 16 GHz, 24 dBi, and
in this work. The dielectric image line antenna of [
17] has a maximum gain of 19 dBi as compared to 24dBi gain of the proposed multi-layer LWA. Due to this high gain, the multiplayer LWA in this work has more advantages in terms of distance applications, such as radar, and many IoT applications.
This paper is organised as follows: The antenna design is described in
Section 2, antenna measurements and discussions are presented in
Section 3, health monitoring measurements are discussed in
Section 4, and this work is brought to a conclusion in
Section 5.
3. Multi-Layer LWA Measured Results and Discussion
The entire antenna design, including the coaxial feed, is encased in a low-loss polytetrafluoroethylene (PTFE) so that it can be placed in the most realistic environment possible and measurements can be made. An external connection is made using a 1.85 mm flanged launcher and a GB185 glass bead. The antenna layers were fabricated using a typical low-cost PCB fabrication method. The measurement configuration for the multi-layer LWA’s
prototype photo is shown in
Figure 9, along with two prototypes of the proposed LWA (ant. A and B) for RVSM application.
The measurement of the antenna was carried out in an anechoic chamber. The gain-comparison method was used to determine the realised gain of our proposed multi-layer, leaky wave antenna. This method calls for two antennas: one that serves as a receive antenna and has a known gain (in our case, a horn antenna) and another that serves as a transmitter antenna whose gain is unknown (our proposed multi-layer LWA). The antennas were placed at a far-field distance of 1 m. The antenna gain was next calculated using Friis’ equation.
A rotatable base connected to the computer for data acquisition was used to measure the patterns of antenna radiation. The antenna is rotated through 0°, 10°, 20°, 30°, up to 360° and then returned to the starting position after calibrating the VNA to 0 dB insertion loss. The information is then gathered and kept on file to forecast the signal strength.
Figure 10 compares the simulated and measured results of the
and the gain of the proposed multi-layer LWA for RVSM. The measured values for the
bandwidth and the maximum gain of ant. A is 7.89 GHz and 23.95 dBi, respectively, which are slightly higher than the simulation values (6.8 GHz and 23.5 dBi). Over the key frequencies of interest ranging from 58 to 66 GHz, the
S-parameter stays lower than −10 dB. In addition, the beam scanning ranges of each of the tested antennas are the same, with a scanning range of
. The small discrepancies between simulations and measurements are attributed to errors during the fabrication process, which affect the performance of the antenna at mm-wave frequencies.
To validate the design concept, the measured far-field radiation patterns of the co-polar and cross-polar in the
E-plane and
H-plane radiation patterns at 62.5 GHz are presented in
Figure 11. Manufacturing and radiation measurement tolerances, such as link losses, lateral reflections, and antenna misalignment, may be to blame for any differences between the simulated and observed
and FRPs. A complete comparison between simulated and measured
E-plane radiation patterns at different frequencies is given in
Figure 12a. They show excellent agreement between simulations and measurements.
Both the measured and simulated efficiency of antennas A and B remained at approximately
for the frequency range above 60 GHz (
Figure 12b). For this measurement, first, a current was run through the antenna terminals, and then the strength of the electromagnetic field that went out into space was measured. In the next section, the measured antenna characteristics will be used for the RVSM experiment.
4. RVSM Measurements with Doppler Radar
In this experiment, we focus only on heart rate and respiration rate measured on the chest. Our proposed leaky wave antenna with a beam scanning range of is sufficient for this type of experiment. However, it should be noted that to scan other parts of the body with this method, more complex systems should be used that reach beyond the scope of this paper.
The proposed RVSM process is shown in a block diagram in
Figure 13a. The transmitting antenna (Tx ) transmits a one-tone electromagnetic (EM), continuous wave (CW signal) in RVSM using a DR technique for a predetermined period of time. After the electromagnetic signal is scattered on the chest of a person standing at a determined distance in front of the antennas, it is simultaneously picked up by a receiving antenna (Rx). The quasi-periodic oscillations in the chest caused by breathing and heartbeats during the designated time phase modulate the received signal. The received phase-modulated signal and the transmitted signal are correlated for demodulation. The time domain (TD) information for the roughly recorded baseband signal at the Rx is provided below [
4]:
where
represents the total phase shift brought on by the signal path (
d), reflected signals from the environment and the subject, and residual phase noise. The
and
are the vibrational shifts of the chest that are, respectively, represented by the breathing and heartbeat, where
is the operating wavelength. These shifts occur when the chest is subjected to vibration. Due to the periodic nature of
and
, an approximation of them may be made as follows:
and
, where
and
are the displacement amplitudes of the chest vibration. The recorded demodulated received signal can be expanded in a Fourier series in the manner described below and thus translated into the Frequency Domain (FD) [
26]:
where
is the argument X representing a Bessel function of the first order. Equation (
3) above contains the required BR and HR details, in addition to noise distortions and vibrations from the surroundings. After that, the appropriate digital filters are applied to Equation (
3) in order to separate the essential BR and HR signals from the background noise as well as the harmonics that are not required.
Figure 13b depicts the whole of digital signal post-processing.
Figure 13c shows the experimental setup for the RVSM. The vector network analyser (VNA) with a maximum frequency limit of 67 GHz was used as the transceiver (TRx), which has the proposed Tx and Rx antenna modules connected to it for our RVSM measurements. An extensive series of experiments was carried out to verify the region that the beam-scanning antennas predicted for detecting vital signs while stationary.
To accomplish this, the VNA is first calibrated to send and receive electromagnetic waves with a transmit power of 0 dBm and 201 sampling points in the frequency range between 58 and 66 GHz. As shown in
Figure 13c, the test subject sits at a certain radial distance and angular position in front of the antennas. A CW sweep with a tone for 60 s is performed. In a short time, the Tx antenna on port 1 of the VNA sends out a signal, and the Rx antenna on port 2 picks up the reflected signal that the subject sends back. The phase of the received signal is demodulated and recorded by the VNA for 60 s in an
-phase format. The next step is to extract the needed BR and HR data from the recorded
phase data through a signal processing programme in MATLAB. The main parts of the signal processing program are bandpass filters that allow BR and HR frequencies, discrete fast Fourier transform (DFFT), and notch filters (10th order Butterworth digital filters) that reduce noise, read out data, and display the heart rate and breathing rate. The values of BR and HR was compared with a hospital blood-pressure monitor for heart rate and manually counted average values of BR to make sure the measurements are accurate. For this reason, the experiment recorded the pulse values of BR and HR five times each and compared their average values with the values of BR and HR obtained by the DR system. For this reason, electrocardiograms (ECGs) are not used to compare waveforms. The reason for this is that, in the presented beam scanning DR to support the possibility of RVSM detection in connection with the suggested antenna beam steering, we are only interested in the average BR and HR (1/min) results in FD (and not in the BR and HR waveforms in time).
Fourier transform-based DR signalling has a RVSM acquisition time and BR/HR resolution trade-off, which must be strictly balanced. For instance, a signal recorded for 60 s will result in a frequency resolution of 1 pulse/s. Likewise, a recorded signal time of 30 s will reduce the BR/HR resolution to 0.5 pulses/s. Signal processing uses time windows. The DR signal is continuously captured in time windowing, but the signal processing is applied to a predetermined shorter time period (e.g., 60 s for a pulse resolution of 1/min), and the findings are updated after a shorter time interval (e.g., every 5 s) [
27]. High-resolution RVSM results may be averaged across time using Fourier transform-based signal processing. Other complex signal-processing techniques can be seen in [
14].
In this experiment, the target is 2 m away from the transmitter and the receiver antennas at
,
,
,
, and
. For each angular point, the demodulated Doppler signal in TD, which contains the
phase data, is recorded at 58 GHz. The results are replicated for frequencies of 60 GHz, 62.5 GHz, 64 GHz, and 66 GHz. As a result, we are able to collect five sets of
phase data at the five specified angular locations for 58 GHz, 60 GHz, 62.5 GHz, 64 GHz, and 65 GHz, as shown in
Figure 14 and
Table 2. On the left of each subplot is the Doppler signal that was recorded in TD, and on the right is the corresponding processed signal in FD. It can be seen that the Doppler signal with the biggest amplitude compared to the level of background noise was picked up at a wider angle when the operating frequencies were higher. A good illustration of this is the modest peak HR, which is more easily detected by noise.
The estimated BR signal amplitude is seen in the first peak at a frequency of about 19 (1/min), while the predicted HR signal amplitude is seen in the second peak at a frequency of about 74 (1/min). At angles of
and
, the observed BR and HR signals exhibited amplitudes that were considerably larger than the noise values for the locations under examination. The results confirm predictions that the antenna radiation beam at 62.5 GHz is centred at roughly
and has an HPBW of greater than
(see
Figure 11a and
Table 2). It is also evident that the largest and clearest HR peak at 58 GHz is at
and
, whereas at 62.5 GHz and 64 GHz, it is at
,
,
, and
, respectively.
The HR peak is still visible at 66 GHz, and it is greater than the surrounding noise at
(See
Figure 14e). It can be concluded that the RVSM detection response of the proposed antenna is suitable for a distance of 2 m at an angular range of
to
, which corresponds to an angular separation of 0.9 m when the operating frequency oscillates between 58 GHz and 66 GHz. Due to the antenna gain and transmit power, the angular range for RVSM detection can be increased beyond 0.9 m if the antennas are placed far away from the object [
28].
A hospital blood pressure monitor that also records patients’ heart rates on a daily basis was used to validate the results on the same individual, as shown in
Figure 15. The BR and HR results from the experiment are compared with the results from the contact device, and it can be seen that both sets of results are in good agreement. This experiment, therefore, demonstrates that the proposed antenna can be used to measure both heart rate and breathing for longer distances (2–4 m) from the subject to provide more than 2 m of angular coverage.
In order to demonstrate the antennas’ range at a radial distance of 4 m, the experiment was repeated multiple times with the same subject, who sat at varying angles away from the antennas each time and had their vital signs recorded. The purpose of this was to validate the results and compare them to those obtained from a range of 2 m. The other experimental parameters are kept as previously described. Three RVSM measurements were taken at the best frequencies and beam angles for maximum detect ability, according to
Figure 16: 58 GHz for
, 62.5 GHz for
, and 66 GHz for
.
The proposed multi-layer LWA design with Doppler radar technology is well-suited for use as a non-contact wireless sensor for health monitoring. As the experiment has shown, the sensor can detect both breathing rate (BR) and heart rate (HR) accurately and reliably at a radial distance of up to 4 metres. The non-contact nature of the sensor means that it can be used in a variety of scenarios, including when a patient is travelling in an ambulance or when they are sleeping or in occupational settings, where workers’ health can be monitored without the need for physical contact (see
Figure 1). Additionally, the sensor’s ability to measure breathing rate and heart rate parameters within an angular range of
to
makes it a versatile tool which can be used in different settings. The proposed LWA design’s potential applications are not limited to healthcare; however, the sensor’s ability to detect and monitor physiological parameters from a distance could also be useful in sports, where athletes’ performance and recovery can be monitored remotely.
Table 3 compares this work with others from relative recent literature with RVSM applications. Overall, the major contribution of our proposed LWA is the scanning distance of up to 4 metres from the human body with an improved accuracy of
, which is a significant advancement compared to other antennas and systems that have been used for RVSM. Additionally, our proposed antenna operates with an enhanced realised gain of 24.3 dBi and radiation efficiency of
compared to relevant work from the literature. The achieved bandwidth of our work is more limited compared to [
17], which is due to the well-known trade-off between gain and beam aperture, which explains the more limited range of our antenna compared to [
17]. However, the obtained realised gain of our proposed design makes it suitable not only for RVSM but for a number of other applications as well, such as 5G communications and IoT.