A Bluetooth low energy implantable glucose monitoring system

  • Mai Ali
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A Bluetooth Low Energy Implantable Glucose Monitoring System Mai Ali, Lutfi Albasha, and Hasan Al-Nashash Department of Electrical Engineering American University of Sharjah Sharjah,UAE g00035464@aus.edu Abstract—This paper presents a novel framework on a remotely powered implantable glucose monitoring system. The RF signal interaction with the biological tissue under investigation has been characterized. The implantable unit is remotely powered by an external unit through inductive coupling. The novelty of this work resides in the design of two efficient class E Power Amplifiers (PAs) with power efficiency of 76% and 73% for the external power unit and the implantable unit respectively. The implantable wireless transmitter utilizes low power communication protocol, Bluetooth low energy, to transmit the measured glucose data to patient’s mobile phone or PDA. Keywords— Bluetooth low energy transmitter, Class E power amplifier, Biotelemetry applications. I. INTRODUCTION Glucose monitoring is evolving from random measurements taken over long time spans to regular monitoring. The current state of the art is a meter that estimates the concentration of glucose in a drop of blood obtained by a patient from his or her fingertip or forearm. Those meters provide a measure of the amount of blood glucose concentration at the time of measurement but information such as the rate of change of glucose concentration is not provided . Glucose sensors are currently in the early development phase. To broaden their deployment, enhancements are needed in reliability, comfort, ease of use, and integration with other technologies. Most of published work on implantable glucose monitors is custom made. To optimize device power consumption and minimize it’s dimensions; different radio frequencies have been used. Existing glucose monitoring systems are large in size because they use discrete circuit components and are powered by batteries. This work addresses the aforementioned problems as follows: firstly, utilizing low power system and circuit techniques in designing the implantable unit wireless transmitter. Secondly, Inductive power transfer will be used to supply power to the implantable unit. This will not only eliminate the need for periodical battery change but also result in a reduced implant size. Making glucose monitoring a daily life routine was the motivation behind the selection of the receiver. Bluetooth technology, and soon to follow Bluetooth low energy, is available in almost all cellular phones and PDAs. Hence, one of those daily used electronic devices can be utilized as a receiver. In this paper we present a general glucose monitoring system description. We propose a telemetry link to power the implantable unit, and suggest a communication standard for data transfer. We also present the architecture of implantable system that features an enhanced design of the RF transmitter. Fig. 1. System Architecture II. SYSTEM ARCHITECTURE The diagram of the proposed glucose monitoring system is shown in Fig. 1 above. The power will be supplied inductively to the implantable unit. The external powering unit generates a high frequency magnetic field in an external coil, through which the power is inductively transferred to an internal coil connected to the implantable system. The frequency at which the power will be transferred is 13.56 MHz. This frequency was chosen due to several reasons including its reduced tissue absorption and its world wide availability as an ISM frequency. The external powering unit will be fixed to the patient body right outside the implantation side. The internal coil picks up the radiated signal which will then be rectified and passed to a voltage regulator to generate a steady voltage supply for the implantable unit. At sensor level, in order to define any waveform; sampling must be done at a frequency that represents the full dimensions of the waveform. High fidelity monitoring sufficient to follow the intrinsic blood glucose dynamics of all diabetic subjects requires a Nyquist sampling period of almost 10 minutes [1]. The implantable unit needs to be left for few minutes in order for the accurate measurement to be taken. After the glucose measurement is obtained, it will then be transmitted to the nearby patient’s cellular phone through Bluetooth low energy protocol. This communication protocol was chosen for this design due to its reduced complexity, low power consumption, and ability to support very low duty cycle 978-2-87487-022-4 © 2011 EuMA 10-13 October 2011, Manchester, UK Proceedings of the 41st European Microwave Conference 1265 operation, which is the case in the majority of sensor applications. In the following, the interaction between the RF signal and the biological tissue is characterized followed by the design description of the main system units. A. RF Signal-Biological Tissue Interaction The factors that determine the RF signal power attenuation in a biomedical implant are frequency, permittivity, conductivity and permeability. It is desirable to keep the transmitted power as low as possible while ensuring that the detected signals are able to faithfully reproduce the required information. This interaction can be viewed in two aspects, energy absorption, where the guideline for the maximum EMF exposure are defined in terms of Specific Absorption Rate (SAR), and signal attenuation due to prorogation through the biological tissue. TABLE I. SKIN DIELECTRIC PROPERTIES AT 2.4 GHZ, 13.56 MHz Property Value at 2.4 GHz Value at 13.56 MHz Effective conductivity (o c]] ) 0.7 S/m 0.23802 S/m permittivity (e) 50×8.8S × 1u -12 F/m 285.25× 8.8S ×1u -12 F/m Permeability (p) 4n × 1u -7 H/m 4n × 1u -7 H/m Attenuation constant (o) 13.3 Np/m 1.3225 Np/m The implantable transmitter will be placed in the subcutaneous tissue directly underneath the skin. Thus the biological tissue would be modelled by a single layer i.e. skin. The average skin thickness of humans varies between 0.5 mm up to 4 mm in palms and soles. For example if the implantable unit is to be placed in patient’s thigh, which is quite an appropriate place for implantation since it is less exposed than other limbs like hands and arms, therefore, less interaction is likely to occur with the surrounding environment that might lead to implantable device displacement or damage. The skin thickness at the thigh of an average human is typically in the range of 1.55 mm. The dielectric properties of the skin have been calculated for the two frequencies used in this design as shown in Table I above. They were then used to determine the two the RF operation safety limits as well as signal attenuation due to propagation through the biological tissue [2]. B. Implantable Unit Class E PA Compared to the conventional linear class operation of PAs, amplifiers with displacement of peak drain/collector voltage and current can attain much higher efficiency. They feature reduced complexity compared to other classes of switching mode PAs, where class D PAs require input and output baluns and harmonic termination is required for class F PAs. In order to compensate for the signal attenuation discussed previously; the PA needs to be designed for a specific power gain. Therefore, it is more useful to present the RF signal attenuation in terms of power units. Fig. 2. Power attenuation at 2.4 GHz At 1.55 mm, the RF signal power is attenuated by 16.7 dB as shown in Fig. 2. The PA needs to have a power gain large enough to cancel this attenuation or at least compensate for most of it. Fig. 3. Implantable unit class E PA schematic However, there is an inherent trade-off between the RF PA frequency response, which dictates its power gain, and its efficiency. Maximum frequency response is attained when biasing the PA in the strong inversion region; in contrast, maximum efficiency is achieved when the PA is operated in a weak inversion regime. It has been proven that the optimum bias point for RF PAs falls in the moderate inversion region [3]. For this reason the PA was biased in the onset of strong inversion so that the power gain requirement can be met while still operating at high efficiency. The schematic of the class E PA is shown in Fig. 3 above. C. External Power Unit The external power unit consists of a crystal oscillator that generates 13.56 MHz carrier, a power MOSFET driver, and a class E PA. The generated carrier is passed to a power MOSFET driver to prevent the PA from loading the oscillator. A class E PA is used to amplify the carrier signal and supply the power inductively to the implantable system through an external coil. The power attenuation at 13.56 MHz at distance of 1.55m through the skin was found to be 7.213 dB. If the implantable unit is to be supplied with 10 dBm power, then the external power unit PA needs to have a power gain of 17 dB assuming perfect coils alignment and no loss is encountered in the voltage rectification and regulation units represented by the RF frontend block in Fig. 1. Fig. 4. External power unit class E PA schematic 0 0.001 0.002 0.003 0.004 0.005 0.006 0.007 0.008 0.009 0.01 -22 -21 -20 -19 -18 -17 -16 -15 Skin Thickness (m) P o w e r A t te n u a t io n ( d B ) x = 0.001551 y = -16.7 1266 The schematic of the external class E PA is shown in Fig. 4, the same design procedure in [4] was followed. However, the PA bias point was pushed to the lower boundary of the strong inversion region to meet the specified power gain requirement. D. Bluetooth low energy transmitter Fig. 5. Bluetooth low energy transmitter system diagram The system diagram used to generate the Bluetooth low energy signal is illustrated in Fig. 5. Bluetooth low energy uses GFSK modulation in which the binary bit stream is passed through a Gaussian low pass filter that has a pulse shaping coefficient of 0.5. Accordingly, for a binary data rate of 1.0 Mbps the filter's -3 dB Bandwidth is 500 kHz. Bluetooth low energy uses a larger modulation index of 0.5 compared to 0.35 of the classic Bluetooth. Consequently, Bluetooth low energy channels are spaced 2 MHz apart, rather than 1 MHz apart as in classic Bluetooth technology. The frequency hopping mechanism for the 40 channels ranging from 2.4 GHz to 2.48 GHz described in the Bluetooth low energy physical layer specifications is implemented [5]. The mapping array of the Digital to real convertor in Fig. 5 is set (0, 39) to hop over the 40 different offset frequencies. III. SIMULATION AND RESULTS First the two PA designs were simulated to validate their performance in terms of switching characteristics, power efficiency, gain and linearity. Then, Bluetooth low energy Tx was simulated to confirm its compliance with the Bluetooth low energy standards. A. Circuit Simulation The results shown below are for the 2.4 GHz implantable class E PA. The first step to validate the class E PA functionality is to verify its switching pattern. This design used 0.35 μm BiCMOS library available under AWR software. Fig. 6. Output Voltage ( ∆ ) Vs Output Current ( □ ) The voltage and current waveforms at the transistor’s drain terminal are shown in Fig. 6. The voltage and current waveforms experience partial elapse thus perfect switching is not achieved. Consequently the PA efficiency will be less than 100% as shown in Fig. 7 below: Fig. 7. DC-to-RF efficiency (DC-RF) % The second corner in the PA performance is the power gain. The gain versus the input power is shown in Fig. 8 below. The 1-dB compression point at which the gain is reduced by 1 dB is illustrated as well. Fig. 8. Power gain Fig. 9: AM –AM (□), AM-PM( ) and gain (∆) As can be seen in Fig. 9, the gain is constant until the point where it intersects with the AM-AM curve after which gain compression takes place. The AM-PM can be calculated using (1) and referring to Fig .9 as given below: AH - PH (Jcgrccs¡JB) = ∆(Pbosc) ∆(omplituJc) 13.69-11.97 6.918-18.11 = -u.1S°¡uB (1) It is desirable to keep this value as low as possible, such that the amplitude compression does not result in any phase alteration . Fig. 10: Intermodualtion distortion The principle of two-tone test is illustrated in Fig. 10. The difference between the fundamental and IM3 power levels is 0 0.3 0.6 0.833 Time (ns) Vo vs Io 0 2 4 6 8 10 V o ( V ) 0 30 60 90 120 150 I o ( m A ) p2 p1 -40 -20 0 20 30 Input power (dBm) 0 20 40 60 80 D C - R F ( % ) p1 10.03 dBm 68.96 22.14 dBm 75.92 -40 -20 0 20 30 Input power (dBm) -20 -10 0 10 20 G a i n ( d B ) p1 -38.84 dBm 14.02 dB 2.972 dBm 13.02 dB -40 -20 0 20 30 Input power (dBm) -30 -20 -10 0 10 20 G a i n ( d B ) 0 3 6 9 12 15 P h a s e ( d e g ) p3 p2 p1 8.648 dBm 18.11 dBm -7.065 dBm 6.918 dBm -7.092 dBm 13.69 Deg 8.671 dBm 11.97 Deg 8.646 dBm -7.009 dBm 2.2 2.3 2.4 2.5 2.6 2.7 Frequency (GHz) -100 -80 -60 -40 -20 0 P o u t ( d B m ) p1 2.35 GHz -84.93 dBm 2.5 GHz -87.24 dBm 2.4 GHz -9.984 dBm 2.45 GHz -9.967 dBm p1: Freq =2.4 GHz Pwr = -24 dBm -24 dBm, at, 2.4 GHz 1267 74 dBc. From the plot, the third-order intercept point (IP3) is determined. The IIP3 can be calculated from Fig. 10 using (2): IIPS(JBm) = P ìn (JBm) + (Pout Fund. -Pout IM3 ) 2 (2) From Fig 10, P in is -24 dBm, while fundemntal-IM3 difference is 74 dBc. Direct application in (2) gives a value of 13.4 dBm for IIP3. This agrees with the relationship that relates the 1-dB point to the IIP3 given by (3) below: IIPS(JBm) = 1 - JB (JBm) + 9.6 JB (3) It is worth mentioning that linearity is not a requirement for this class E PA design. The Bluetooth low energy signal is frequency modulated; hence no data is contained in the signal amplitude or phase. Consequently gain compression and AM to PM conversion do not spoil the information signal. TABLE II. CLASS E PAs PERFORMANCE CHARACTERISTICS Parameter Implantable PA External PA Frequency (MHz) 2400 13.56 VDD (V) 3.3 3.3 Gate bias voltage (V) 1.17 1.36 Current consumption (mA) 18.9 143 DC to RF efficiency (%) 75.92 72.6 Power gain (dB) 14.02 17.79 AM-PM (deg/dB) -0.15 -0.737 P-1dB (dBm) 2.9 -8.55 ∆IM3 (dBc) 74 47.9 IIP3 (dBm) 13.34 2.59 The performance characteristics of the implantable and the external class E PAs is summarized in Table II above. The SAR limits for the implantable and the external PAs were found to be 29.5 mW/Kg and 54 mW/Kg respectively which comply with RF safety limits mentioned previously. B. System Simulation Fig. 11. Transmitter test bench For the purpose of simulating the complete implantable transmitter, incorporating the PA and Bluetooth low energy transmitter and reflecting skin attenuation effect, the transmitter test bench in Fig. 11 above was implemented. Fig. 12. Output spectrum after modulator ( ∆ ) and PA ( □ ) The power spectrum of the signal at the output of the modulator and the PA is shown in Fig. 12. The difference between the signals’ power levels represents the implantable PA power gain which agrees with the results illustrated in Table II. Within the ISM band the transmitter shall pass a spectrum mask, given in Table III. The spectrum shall comply with 20 dB bandwidth definition in Federal Communication Commission (FCC). TABLE III. BLUETOOTH LOW ENERGY TX SPECTRUM MASK Frequency offset Bluetooth low energy specs. This design ± 500 kHz -20 dBc -22dBc 2MHz (|H -N| = 2) -20 dBm -66 dBm 3MHz or greater (|H -N| ¸ S) -30 dBm -87 dBm The transmitted power was measured in a 100 kHz bandwidth. This measurement requires the Tx to transmit pseudo random data pattern while the frequency hopping is switched off. Table III shows the specified Bluetooth low energy Tx power requirements and the results obtained in this design. All the three power requirements were met. IV. CONCLUSION The system architecture of glucose monitoring system was presented. The implantable system was inductively powered by an external power unit which operates at 13.56 MHz. Two efficient class E PAs were designed for the external power and implantable units. Due to its low power requirements, Bluetooth low energy was utilized as the communication protcol in th implantable tranmsitter. Future work includes completing the circuit design of the implantable transmitter and developing a prototype to perform real measurements. Further reduction in the implantable PA current consumption is needed. V. REFERENCES [1] D. Gough, K. Kertuz-Delgado, and T. Bremer, “Frequency characterization of blood glucose dynamics”, Ann. Biomed. Eng., vol. 31, no. 1, pp. 91–97, 2003. [2] M. Ali, “low Power Wireless Subcutaneous Transmitter”, M.S. Thesis, Dept Elec. Eng., American University of Sharjah, UAE, 2011. [3] A. Shameli, P. Heydari, “A Novel Power Optimization Technique for Ultra-Low Power RFICs,” Proc. Int. symps. Low Power Electronics and Design, Tegernsee, pp. 274-279, 2006. [4] M. Ali, L. Albasha, H. Alnashash, “A system study of a wireless subcutaneous transmitter”, Int. Symp. on Mechatronics and its Applications, Sharjah, April, 2010. [5] (Dec. 26, 2009), Bluetooth SIG, Bluetooth specification version 4.0 [Online]. Available: http://www.bluetooth.com D R 1 2 3 1 2 3 1 2 3 4 R D F l 1 2 3 4 BER SRC MEAS TP ID=TP5 TP ID=TP6 Frequency Hopping Channel Generation Mechanism Rate = 1Mbps. from2.40 GHz to 2.48 GHz Constant channel @ 2.44 GHz NO Frequency Hopping Bluetooth Low energy GFSK Modulation Frequency Hopping in steps of 2 MHz. AWGN PA Attenuator 2.352 2.372 2.392 2.412 2.432 2.452 Frequency (GHz) -300 -200 -100 0 100 P o w e r ( d B m ) 2.402 GHz -13.64 dBm 2.402 GHz 0.9622 dBm 1268

A Bluetooth low energy implantable glucose monitoring system

Mai Ali
Uploaded by
Mai Ali