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Wearable and Implantable Sensors and Electronics Circuits

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: closed (15 April 2019) | Viewed by 39611

Special Issue Editors


E-Mail Website1 Website2 Website3 Website4
Guest Editor
1. Department of Electronics and Information Systems, Faculty of Engineering and Architecture, Ghent University, 9000 Gent, Belgium
2. Centre for Microsystems Technology (CMST), IMEC, 9052 Gent, Belgium
Interests: smart implants; hermetic implant encapsulation; flexible implants; miniaturization of implants
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Center for Microsystems Technology, Ghent University, 9000 Ghent, Belgium
Interests: stretchable electronics technologies
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The miniaturization of MEMS and electronics opened the door for the development of very small, lightweight devices. When combined with flexible or stretchable packaging and integration techniques, electronics can be shaped to be conformal with non-flat and even moving surfaces such as human skin, enabling the fabrication of wearable devices for medical applications. Using low-power electronics and/or a system design with low power consumption in mind enables the use of small batteries while still realizing a considerable battery lifetime. In combination with wireless data transmission, very interesting wearable electronic devices can be constructed, allowing for regular follow-up of biomedical parameters even outside a hospital setting. Obviously, these devices need to be equipped with reliable sensors (e.g., skin electrodes, chemical sensors, optical sensors, etc.) to monitor relevant bio-signals. With an aging population, such devices will be more than welcome to enable a longer period of independent living for the elderly without jeopardizing their health. Additionally, younger people suffering from a disease which needs constant monitoring (e.g., diabetes) and healthy people who prefer to sport in a controlled manner enjoy the existence of high-quality wearable health monitoring devices. Although several wearable sensors are now on the market, there is still plenty of room for improvement: more reliable sensors, new sensor technologies, smaller and more flexible devices which offer higher user comfort, sensors not causing skin irritation even after prolonged use, smaller batteries due to battery improvement or lower power consumption enabling lightweight devices, etc.

Electronics are also very interesting as implantable devices, combining electronic intelligence with extreme miniaturization. However, bringing electronics inside the body has severe consequences for the integration and packaging of the electronic device: the device needs to be hermetically sealed from the body fluids to avoid corrosion, while the sealing should also protect the body from direct contact with the non-biocompatible materials used to compose the electronic device. Furthermore, this bidirectional device encapsulation should be biostable during the total implantation time of the system. In spite of this hermetic device encapsulation, sensors of the device should still be able to monitor relevant biomedical parameters. Hence, a direct contact between the local tissue and the sensing part of the electronic device is often essential, and therefore the hermetic seal needs to have locally “hermetic windows”. Electronic implants challenge scientists even more: the biostability of the sensors should be guaranteed during the lifetime of the device, which is often difficult, since proteins or other components of the local body tissue tend to react with the surface of sensors, which might change their electronic readout. Testing of this biostability is often challenging, especially for long-term implants for which relevant accelerated testing procedures have to be developed. Furthermore, the sensing part of a device might have to be placed in a tiny area in the body (e.g., electrodes placed inside the brain or a nerve bundle for the recording or stimulation of nerve cells). The fabrication of such sensing parts requires a very high degree of miniaturization. Finally, ultralow power consumption is a must for electronic implants—heat generation in the body needs to be firmly avoided, and the use of a small battery is essential. Rechargeable batteries can reduce this problem, although energy/signal transport towards implants located deeper in the body is still a challenge due to absorbing body tissue. Energy scavenging is a possibility, although important technical improvements are essential to match the device power consumption with the energy efficiency of current scavenging techniques.

The immense potential of electronics as wearable or implantable sensing devices for better health and improved healthcare is obvious, but many hurdles still have to be overcome. Reports on investigations related to the issues as explained above are very welcome in this Special Issue of Sensors, which aims to highlight relevant advancements in the development and testing of wearable and implantable sensing devices at the component level as well as at the system level.

Prof. Dr. Maaike Op de Beeck
Dr. Frederik Bossuyt
Guest Editors

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Keywords

  •    biomedical sensors
  •    wearable sensors
  •    implantable devices
  •    device miniaturization for wearable/implantable devices
  •    sensor biocompatibility
  •    sensor biostability
  •    device hermeticity
  •    testing and accelerated testing procedures for wearables/implants
  •    wireless powering of electronic implants
  •    energy scavenging for implants

Published Papers (7 papers)

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Research

16 pages, 9111 KiB  
Article
Ultracompact Multielectrode Array for Neurological Monitoring
by Ming-Yuan Cheng, Ramona B. Damalerio, Weiguo Chen, Ramamoorthy Rajkumar and Gavin S. Dawe
Sensors 2019, 19(10), 2286; https://doi.org/10.3390/s19102286 - 17 May 2019
Cited by 3 | Viewed by 3542
Abstract
Patients with paralysis, spinal cord injury, or amputated limbs could benefit from using brain–machine interface technology for communication and neurorehabilitation. In this study, a 32-channel three-dimensional (3D) multielectrode probe array was developed for the neural interface system of a brain–machine interface to monitor [...] Read more.
Patients with paralysis, spinal cord injury, or amputated limbs could benefit from using brain–machine interface technology for communication and neurorehabilitation. In this study, a 32-channel three-dimensional (3D) multielectrode probe array was developed for the neural interface system of a brain–machine interface to monitor neural activity. A novel microassembly technique involving lead transfer was used to prevent misalignment in the bonding plane during the orthogonal assembly of the 3D multielectrode probe array. Standard microassembly and biopackaging processes were utilized to implement the proposed lead transfer technique. The maximum profile of the integrated 3D neural device was set to 0.50 mm above the pia mater to reduce trauma to brain cells. Benchtop tests characterized the electrical impedance of the neural device. A characterization test revealed that the impedance of the 3D multielectrode probe array was on average approximately 0.55 MΩ at a frequency of 1 KHz. Moreover, in vitro cytotoxicity tests verified the biocompatibility of the device. Subsequently, 3D multielectrode probe arrays were implanted in rats and exhibited the capability to record local field potentials and spike signals. Full article
(This article belongs to the Special Issue Wearable and Implantable Sensors and Electronics Circuits)
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24 pages, 3782 KiB  
Article
Wearable Sensor-Based Human Activity Recognition via Two-Layer Diversity-Enhanced Multiclassifier Recognition Method
by Yiming Tian, Xitai Wang, Lingling Chen and Zuojun Liu
Sensors 2019, 19(9), 2039; https://doi.org/10.3390/s19092039 - 30 Apr 2019
Cited by 20 | Viewed by 3348
Abstract
Sensor-based human activity recognition can benefit a variety of applications such as health care, fitness, smart homes, rehabilitation training, and so forth. In this paper, we propose a novel two-layer diversity-enhanced multiclassifier recognition method for single wearable accelerometer-based human activity recognition, which contains [...] Read more.
Sensor-based human activity recognition can benefit a variety of applications such as health care, fitness, smart homes, rehabilitation training, and so forth. In this paper, we propose a novel two-layer diversity-enhanced multiclassifier recognition method for single wearable accelerometer-based human activity recognition, which contains data-based and classifier-based diversity enhancement. Firstly, we introduce the kernel Fisher discriminant analysis (KFDA) technique to spatially transform the training samples and enhance the discrimination between activities. In addition, bootstrap resampling is utilized to increase the diversities of the dataset for training the base classifiers in the multiclassifier system. Secondly, a combined diversity measure for selecting the base classifiers with excellent performance and large diversity is proposed to optimize the performance of the multiclassifier system. Lastly, majority voting is utilized to combine the preferred base classifiers. Experiments showed that the data-based diversity enhancement can improve the discriminance of different activity samples and promote the generation of base classifiers with different structures and performances. Compared with random selection and traditional ensemble methods, including Bagging and Adaboost, the proposed method achieved 92.3% accuracy and 90.7% recall, which demonstrates better performance in activity recognition. Full article
(This article belongs to the Special Issue Wearable and Implantable Sensors and Electronics Circuits)
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13 pages, 2658 KiB  
Article
Characteristics of an Implantable Blood Pressure Sensor Packaged by Ultrafast Laser Microwelding
by Sungil Kim, Jaesoon Park, Sangkyun So, Sanghoon Ahn, Jiyeon Choi, Chiwan Koo and Yeun-Ho Joung
Sensors 2019, 19(8), 1801; https://doi.org/10.3390/s19081801 - 15 Apr 2019
Cited by 21 | Viewed by 4546
Abstract
We propose a new packaging process for an implantable blood pressure sensor using ultrafast laser micro-welding. The sensor is a membrane type, passive device that uses the change in the capacitance caused by the membrane deformation due to applied pressure. Components of the [...] Read more.
We propose a new packaging process for an implantable blood pressure sensor using ultrafast laser micro-welding. The sensor is a membrane type, passive device that uses the change in the capacitance caused by the membrane deformation due to applied pressure. Components of the sensor such as inductors and capacitors were fabricated on two glass (quartz) wafers and the two wafers were bonded into a single package. Conventional bonding methods such as adhesive bonding, thermal bonding, and anodic bonding require considerable effort and cost. Therefore CO2 laser cutting was used due to its fast and easy operation providing melting and bonding of the interface at the same time. However, a severe heat process leading to a large temperature gradient by rapid heating and quenching at the interface causes microcracks in brittle glass and results in low durability and production yield. In this paper, we introduce an ultrafast laser process for glass bonding because it can optimize the heat accumulation inside the glass by a short pulse width within a few picoseconds and a high pulse repetition rate. As a result, the ultrafast laser welding provides microscale bonding for glass pressure sensor packaging. The packaging process was performed with a minimized welding seam width of 100 μm with a minute. The minimized welding seam allows a drastic reduction of the sensor size, which is a significant benefit for implantable sensors. The fabricated pressure sensor was operated with resonance frequencies corresponding to applied pressures and there was no air leakage through the welded interface. In addition, in vitro cytotoxicity tests with the sensor showed that there was no elution of inner components and the ultrafast laser packaged sensor is non-toxic. The ultrafast laser welding provides a fast and robust glass chip packaging, which has advantages in hermeticity, bio-compatibility, and cost-effectiveness in the manufacturing of compact implantable sensors. Full article
(This article belongs to the Special Issue Wearable and Implantable Sensors and Electronics Circuits)
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18 pages, 4905 KiB  
Article
Motion Artifact Reduction for Wrist-Worn Photoplethysmograph Sensors Based on Different Wavelengths
by Yifan Zhang, Shuang Song, Rik Vullings, Dwaipayan Biswas, Neide Simões-Capela, Nick van Helleputte, Chris van Hoof and Willemijn Groenendaal
Sensors 2019, 19(3), 673; https://doi.org/10.3390/s19030673 - 07 Feb 2019
Cited by 81 | Viewed by 8158
Abstract
Long-term heart rate (HR) monitoring by wrist-worn photoplethysmograph (PPG) sensors enables the assessment of health conditions during daily life with high user comfort. However, PPG signals are vulnerable to motion artifacts (MAs), which significantly affect the accuracy of estimated physiological parameters such as [...] Read more.
Long-term heart rate (HR) monitoring by wrist-worn photoplethysmograph (PPG) sensors enables the assessment of health conditions during daily life with high user comfort. However, PPG signals are vulnerable to motion artifacts (MAs), which significantly affect the accuracy of estimated physiological parameters such as HR. This paper proposes a novel modular algorithm framework for MA removal based on different wavelengths for wrist-worn PPG sensors. The framework uses a green PPG signal for HR monitoring and an infrared PPG signal as the motion reference. The proposed framework includes four main steps: motion detection, motion removal using continuous wavelet transform, approximate HR estimation and signal reconstruction. The proposed algorithm is evaluated against an electrocardiogram (ECG) in terms of HR error for a dataset of 6 healthy subjects performing 21 types of motion. The proposed MA removal method reduced the average error in HR estimation from 4.3, 3.0 and 3.8 bpm to 0.6, 1.0 and 2.1 bpm in periodic, random, and continuous non-periodic motion situations, respectively. Full article
(This article belongs to the Special Issue Wearable and Implantable Sensors and Electronics Circuits)
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14 pages, 3669 KiB  
Article
A Fetal ECG Monitoring System Based on the Android Smartphone
by Li Yuan, Yanchao Yuan, Zhuhuang Zhou, Yanping Bai and Shuicai Wu
Sensors 2019, 19(3), 446; https://doi.org/10.3390/s19030446 - 22 Jan 2019
Cited by 33 | Viewed by 10871
Abstract
In this paper, a fetal electrocardiogram (ECG) monitoring system based on the Android smartphone was proposed. We designed a portable low-power fetal ECG collector, which collected maternal abdominal ECG signals in real time. The ECG data were sent to a smartphone client via [...] Read more.
In this paper, a fetal electrocardiogram (ECG) monitoring system based on the Android smartphone was proposed. We designed a portable low-power fetal ECG collector, which collected maternal abdominal ECG signals in real time. The ECG data were sent to a smartphone client via Bluetooth. Smartphone app software was developed based on the Android system. The app integrated the fast fixed-point algorithm for independent component analysis (FastICA) and the sample entropy algorithm, for the sake of real-time extraction of fetal ECG signals from the maternal abdominal ECG signals. The fetal heart rate was computed using the extracted fetal ECG signals. Experimental results showed that the FastICA algorithm can extract a clear fetal ECG, and the sample entropy can correctly determine the channel where the fetal ECG is located. The proposed fetal ECG monitoring system may be feasible for non-invasive, real-time monitoring of fetal ECGs. Full article
(This article belongs to the Special Issue Wearable and Implantable Sensors and Electronics Circuits)
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17 pages, 14167 KiB  
Article
Capturing Electrocardiogram Signals from Chairs by Multiple Capacitively Coupled Unipolar Electrodes
by Zhongjie Hou, Jinxi Xiang, Yonggui Dong, Xiaohui Xue, Hao Xiong and Bin Yang
Sensors 2018, 18(9), 2835; https://doi.org/10.3390/s18092835 - 28 Aug 2018
Cited by 12 | Viewed by 4697
Abstract
A prototype of an electrocardiogram (ECG) signal acquisition system with multiple unipolar capacitively coupled electrodes is designed and experimentally tested. Capacitively coupled electrodes made of a standard printed circuit board (PCB) are used as the sensing electrodes. Different from the conventional measurement schematics, [...] Read more.
A prototype of an electrocardiogram (ECG) signal acquisition system with multiple unipolar capacitively coupled electrodes is designed and experimentally tested. Capacitively coupled electrodes made of a standard printed circuit board (PCB) are used as the sensing electrodes. Different from the conventional measurement schematics, where one single lead ECG signal is acquired from a pair of sensing electrodes, the sensing electrodes in our approaches operate in a unipolar mode, i.e., the biopotential signals picked up by each sensing electrodes are amplified and sampled separately. Four unipolar electrodes are mounted on the backrest of a regular chair and therefore four channel of signals containing ECG information are sampled and processed. It is found that the qualities of ECG signal contained in the four channel are different from each other. In order to pick up the ECG signal, an index for quality evaluation, as well as for aggregation of multiple signals, is proposed based on phase space reconstruction. Experimental tests are carried out while subjects sitting on the chair and clothed. The results indicate that the ECG signals can be reliably obtained in such a unipolar way. Full article
(This article belongs to the Special Issue Wearable and Implantable Sensors and Electronics Circuits)
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10 pages, 3129 KiB  
Article
A 10-Bit 300 kS/s Reference-Voltage Regulator Free SAR ADC for Wireless-Powered Implantable Medical Devices
by Yongkui Yang, Jun Zhou, Xin Liu and Wang Ling Goh
Sensors 2018, 18(7), 2131; https://doi.org/10.3390/s18072131 - 03 Jul 2018
Cited by 2 | Viewed by 3402
Abstract
This paper presents a reference-voltage regulator free successive-approximation-register analog-to-digital converters (SAR ADC) with self-timed pre-charging for wireless-powered implantable medical devices. Assisted by a self-timed pre-charging technique, the proposed SAR ADC eliminates the need for a power-hungry reference-voltage regulator and area-consuming decoupling capacitor while [...] Read more.
This paper presents a reference-voltage regulator free successive-approximation-register analog-to-digital converters (SAR ADC) with self-timed pre-charging for wireless-powered implantable medical devices. Assisted by a self-timed pre-charging technique, the proposed SAR ADC eliminates the need for a power-hungry reference-voltage regulator and area-consuming decoupling capacitor while maintaining insensitivity to the supply voltage fluctuation. Fabricated with a 0.18-µm complementary metal–oxide–semiconductor (CMOS) technology, the proposed SAR ADC achieves a Signal To Noise And Distortion Ratio (SNDR) of 53.32 dB operating at 0.8 V with a supply voltage fluctuation of 50 mVpp and consumes a total power of 2.72 µW at a sampling rate of 300 kS/s. Including the self-timed pre-charging circuits, the total figure-of-merit (FOM) is 23.9 fJ/conversion-step and the total area occupied is 0.105 mm2. Full article
(This article belongs to the Special Issue Wearable and Implantable Sensors and Electronics Circuits)
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