Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Fen Xia has a total of 43 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Optimizing Power Transfer Efficiency in Biomedical Implants: A Comparative Analysis of SS and SP Inductive Link Topologies

    by Fen Xia, Fangyu Mao, Yan Lu, Mohamad Sawan

    Inductive link intended to deliver energy to implantable devices is recently becoming a popular method. To improve link efficiency, the compensated capacitors are adopted to resonate at the same frequency with the power transfer frequency on both sides. However, there is limited research on link efficiency and output power concerning quality factors, the selection between serial–parallel (SP) and serial–serial (SS) topologies, as well as coil design. This study delves into the efficiency of SP and SS topologies using rigorous mathematical derivations with reflected impedance models in terms of quality factors. It introduces a selection factor to help choose topology based on link efficiency. Results show that SS is better when the load quality factor ( $Q_{L}$ ) is lower than the selection factor, and vice versa. The study also examines the performance limits of both topologies concerning frequency, inductance, and load impedance. It proposes a specific $Q_{L}$ for maximum efficiency and a coil design procedure considering specific absorption rate limitations. By leveraging simulations and the design procedure, the study manufactures a pair of flexible coils for biomedical use. The designed link achieves a 62.99% efficiency under a 500 $\Omega$ load, with an overall efficiency of 46.96% including a passive rectifier.


  • Open Access

    Minimally Invasive Hypoglossal Nerve Stimulator Enabled by ECG Sensor and WPT to Manage Obstructive Sleep Apnea

    by Fen Xia, Hanrui Li, Yixi Li, Xing Liu, Yankun Xu, Chaoming Fang, Qiming Hou, Siyu Lin, Zhao Zhang, Jie Yang, et al.

    A hypoglossal nerve stimulator (HGNS) is an invasive device that is used to treat obstructive sleep apnea (OSA) through electrical stimulation. The conventional implantable HGNS device consists of a stimuli generator, a breathing sensor, and electrodes connected to the hypoglossal nerve via leads. However, this implant is bulky and causes significant trauma. In this paper, we propose a minimally invasive HGNS based on an electrocardiogram (ECG) sensor and wireless power transfer (WPT), consisting of a wearable breathing monitor and an implantable stimulator. The breathing external monitor utilizes an ECG sensor to identify abnormal breathing patterns associated with OSA with 88.68% accuracy, achieved through the utilization of a convolutional neural network (CNN) algorithm. With a skin thickness of 5 mm and a receiving coil diameter of 9 mm, the power conversion efficiency was measured as 31.8%. The implantable device, on the other hand, is composed of a front-end CMOS power management module (PMM), a binary-phase-shift-keying (BPSK)-based data demodulator, and a bipolar biphasic current stimuli generator. The PMM, with a silicon area of 0.06 mm2 (excluding PADs), demonstrated a power conversion efficiency of 77.5% when operating at a receiving frequency of 2 MHz. Furthermore, it offers three-voltage options (1.2 V, 1.8 V, and 3.1 V). Within the data receiver component, a low-power BPSK demodulator was ingeniously incorporated, consuming only 42 μW when supplied with a voltage of 0.7 V. The performance was achieved through the implementation of the self-biased phase-locked-loop (PLL) technique. The stimuli generator delivers biphasic constant currents, providing a 5 bit programmable range spanning from 0 to 2.4 mA. The functionality of the proposed ECG- and WPT-based HGNS was validated, representing a highly promising solution for the effective management of OSA, all while minimizing the trauma and space requirements.


  • Open Access

    Minimally Invasive Hypoglossal Nerve Stimulator Enabled by ECG Sensor and WPT to Manage Obstructive Sleep Apnea

    by Fen Xia, Hanrui Li, Yixi Li, Xing Liu, Yankun Xu, Chaoming Fang, Qiming Hou, Siyu Lin, Zhao Zhang, Jie Yang, et al.

    Hypoglossal nerve stimulator (HGNS) is a minimally invasive device used for treating obstructive sleep apnea (OSA). The conventional implantable HGNS is a device that consists of a stimuli generator, a breathing sensor, and electrodes connected to the hypoglossal nerve via leads. However, this implant is bulky and causes significant trauma. In this paper, we propose a minimally invasive HGNS based on an electrocardiogram (ECG) sensor and a wireless power transfer (WPT), consisting of a wearable breathing monitor and an implantable stimulator. The breathing external monitor utilizes an ECG sensor to identify abnormal breathing patterns associated with OSA with 88.68$\%$ accuracy, achieved through the utilization of a Convolutional Neural Network (CNN) algorithm. With a skin thickness of 5mm and a receiving coil diameter of 9mm, the power conversion efficiency was measured at 31.8$\%$. The implantable device, on the other hand, is composed of a front-end CMOS Power Management Module (PMM), a Binary Phase Shift Keying (BPSK)-based data demodulator, and a bipolar biphasic current stimuli generator. The PMM, with a silicon area of 0.06 $mm^2$ (excluding pads), demonstrates a power conversion efficiency of 77.5$\%$ when operating at a receiving frequency of 2 MHz. Furthermore, it offers three-voltage options (1.2V, 1.8V, and 3.1V). Within the data receiver component, a low-power BPSK demodulator has been ingeniously incorporated, consuming only 42 $\mu$W when supplied with a voltage of 0.7V. The performance is achieved through the implementation of the self-biased phase-locked loop (PLL) technique. The stimuli generator delivers biphasic constant currents, providing a 5-bit programmable range spanning from 0 to 2.4 mA. The functionality of proposed ECG and WPT-based HGNS was validated, representing a highly promising solution for the effective management of OSA, all while minimizing trauma and space requirements.

  • Open Access

    A Closed-Loop Approach to Fight Coronavirus: Early Detection and Subsequent Treatment

    by Guoguang Rong, Yuqiao Zheng, Xi Yang, Kangjian Bao, Fen Xia, Huihui Ren, Sumin Bian, Lan Li, Bowen Zhu, Mohamad Sawan

    The recent COVID-19 pandemic has caused tremendous damage to the social economy and people’s health. Some major issues fighting COVID-19 include early and accurate diagnosis and the shortage of ventilator machines for critical patients. In this manuscript, we describe a novel solution to deal with COVID-19: portable biosensing and wearable photoacoustic imaging for early and accurate diagnosis of infection and magnetic neuromodulation or minimally invasive electrical stimulation to replace traditional ventilation. The solution is a closed-loop system in that the three modules are integrated together and form a loop to cover all-phase strategies for fighting COVID-19. The proposed technique can guarantee ubiquitous and onsite detection, and an electrical hypoglossal stimulator can be more effective in helping severe patients and reducing complications caused by ventilators.


  • Open Access

    A Closed-loop Approach to Fight Coronavirus: Early Detection and Subsequent Treatment

    by Guoguang Rong, Yuqiao Zheng, Xi Yang, Kangjian Bao, Fen Xia, Huihui Ren, Sumin Bian, Lan Li, Bowen Zhu, Mohamad Sawan

    The recent COVID-19 pandemic has caused tremendous damage to social economy and people’s health. Some major issues fighting COVID-19 include early and accurate diagnosis and the shortage of ventilator machines for critical patients. In this work, we propose a closed-loop solution to deal with COVID-19: portable biosensing and wearable photoacoustic imaging for early and accurate diagnosis of infection and magnetically neuromodulation or minimally invasive electrical stimulation to replace the traditional ventilation. Proposed technique can guarantee ubiquitous and onsite detection, and electrical hypoglossal stimulator can be more effective in helping severe patients as well as reducing complications caused by ventilators.


  • Open Access

    Clinical and Research Solutions to Manage Obstructive Sleep Apnea: A Review

    by Fen Xia, Mohamad Sawan

    Obstructive sleep apnea (OSA), a common sleep disorder disease, affects millions of people. Without appropriate treatment, this disease can provoke several health-related risks including stroke and sudden death. A variety of treatments have been introduced to relieve OSA. The main present clinical treatments and undertaken research activities to improve the success rate of OSA were covered in this paper. Additionally, guidelines on choosing a suitable treatment based on scientific evidence and objective comparison were provided. This review paper specifically elaborated the clinically offered managements as well as the research activities to better treat OSA. We analyzed the methodology of each diagnostic and treatment method, the success rate, and the economic burden on the world. This review paper provided an evidence-based comparison of each treatment to guide patients and physicians, but there are some limitations that would affect the comparison result. Future research should consider the consistent follow-up period and a sufficient number of samples. With the development of implantable medical devices, hypoglossal nerve stimulation systems will be designed to be smart and miniature and one of the potential upcoming research topics. The transcutaneous electrical stimulation as a non-invasive potential treatment would be further investigated in a clinical setting. Meanwhile, no treatment can cure OSA due to the complicated etiology. To maximize the treatment success of OSA, a multidisciplinary and integrated management would be considered in the future.


  • Metasurface‐Based Spatial Phasers for Analogue Signal Processing

    by Ming Zheng Chen, Qiang Cheng, Fen Xia, Amir Khurrum Rashid, Jun Yan Dai, Cheng Zhang, Qingfeng Zhang, Tie Jun Cui

    A dispersive delay structure, or phaser, is an integral part of analogue signal processor. A phaser is a circuit, whose group delay can be engineered to obtain the desired response as a function of frequency. Traditionally, phasers have been implemented in circuits or waveguide structures, but they can never deal with electromagnetic waves in free space due to limitation of natural materials. To resolve this drawback, a novel metasurface‐based structure, spatial phaser, for analogue signal processing in the spatial domain is proposed. A general design theory is put forward to realize the spatial phaser for manipulating the dispersive delay of electromagnetic waves. To demonstrate this method, three spatial phasers with different group‐delay responses are elaborately devised and a prototype that exhibits a positive‐triangular group delay from 8 to 10 GHz is fabricated. The experimental and simulation results show good agreement. This work will facilitate the development of real‐time analogue signal processing in spatial domain for applications in radars, electronic countermeasures, and other related areas.


  • A Compact, Uniplanar Vivaldi Antenna with an Embedded CPW Feed

    by Changyu Liu, Amir Khurrum Rashid, Fen Xia, Xiaolan Tang, Qingfeng Zhang

    A novel designed, compact uniplanar Vivaldi antenna for microwave imaging is proposed in this paper. With its broad bandwidth and end-fire radiation performance, it is especially suitable for microwave imaging systems. In the proposed antenna, a novel feed structure is proposed. A CPW feed is embedded into the Vivaldi patches, which ensures the whole structure to be compact and simple. The Vivaldi patches leads to wide bandwidth, high gain and very good front to back ratio compared to conventional antennas. The bandwidth is about 14.9 GHz (1.2 - 16.1 GHz) in terms of the 10dB return loss. Gain of the antenna is 7.0 dBi, and the front-to-back ratio is 16 dB.


  • Design of Wideband Patch Antenna for Microwave Imaging Systems

    by Fen Xia, Qingfeng Zhang, Yifan Chen, Bing Zhang

    In this letter, we propose a wideband patch antenna for the head imaging systems. It is composed of a patch and the ground, and both structure are largely token off in comparison with normal patch antenna. By analyzing the structure of this antenna, we could obtain the band is mainly controlled by three parameters. Extensive simulations demonstrate that patch antenna provides wideband operation with -10 dB bandwidths of 71.1% at the frequency of 1.23 - 2.63 GHz. Moreover, the radiation patterns are almost the bi-directional and the gains are all above 3 dBi at entire operation frequencies.

  • Dualband Filter with Loaded Stubs for 5G Application

    by Fen Xia, Qingfeng Zhang, Yifan Chen

    In this letter, we propose a dual-band filter using open stub-loaded resonators. The dual-band filter is analysed by transmission line theory and the physical dimensions of the structure can be easily deduced for 5G application. Thus, based on full-wave simulation, the proposed design is verified.