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Micromachines
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Bioelectronics and Wearable Devices: Sensing, Signal Processing and Powering, 2nd...
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Bioelectronics and Wearable Devices: Sensing, Signal Processing and Powering, 2nd Edition

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "E：Engineering and Technology".

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 3794

Special Issue Editors

Dr. Gang Ge

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, National University of Singapore (NUS), Singapore, Singapore
Interests: hydrogels; flexible electronics; stretchable conductor; biomedical adhesives; stimulus-responsive materials; smart polymers; MXene
Special Issues, Collections and Topics in MDPI journals
Dr. Binbin Ying

E-Mail Website
Guest Editor
Mechanical Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
Interests: ingestible devices; bioadhesives biosensors; bioelectronics soft robotics
Dr. Lin Zhang

E-Mail Website
Guest Editor
Media Lab, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA
Interests: piezoelectric composites for sensors and transducers; dielectric composites for energy storage; conducting composites for multifunctional applications; flexible/stretchable electronics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The advent of bioelectronics and wearable devices is rapidly changing the practice of human healthcare. For instance, bioelectronic sensors can measure vital signs such as the heartbeat and respiration to provide real-time access to life-saving information, and analyze metabolites in sweat to assess the level of stress during training. As the world marches into the era of the Internet of Things (IoT) and 5G, medical devices that are connected could be used to monitor, track, and record individual vital signs and treatment processes on the human body, with these clinical data then being used to provide personalized health care schemes. Furthermore, the stability of the bioelectronics' power sources in maintaining their operation is critical; therefore, the expansion of the field of bioelectronics is still limited by the lack of stable and biocompatible power sources with aesthetic designs. Accordingly, this Special Issue seeks to showcase research papers, short communications, and review articles that focus on novel bioelectronics and wearable device developments in collecting physiological signals that can be leveraged to assess health status and diagnose diseases. In addition, we welcome works that explore energy harvesting and storage technologies for powering such devices during physical activity and harsh environmental conditions.

Dr. Gang Ge
Dr. Binbin Ying
Dr. Lin Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • bioelectronics
  • wearable sensors
  • health monitoring
  • energy harvesting
  • energy storage
  • artificial intelligence

Related Special Issue

Published Papers (3 papers)

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Research

21 pages, 11882 KiB  
Article
Radiation Detector Front-End Readout Chip with Nonbinary Successive Approximation Register Analog-to-Digital Converter for Wearable Healthcare Monitoring Applications
by Hsuan-Lun Kuo and Shih-Lun Chen
Micromachines 2024, 15(1), 143; https://doi.org/10.3390/mi15010143 - 17 Jan 2024
Viewed by 690
Abstract
A 16-channel front-end readout chip for a radiation detector is designed for portable or wearable healthcare monitoring applications. The proposed chip reads the signal of the radiation detector and converts it into digital serial-out data by using a nonbinary successive approximation register (SAR) [...] Read more.
A 16-channel front-end readout chip for a radiation detector is designed for portable or wearable healthcare monitoring applications. The proposed chip reads the signal of the radiation detector and converts it into digital serial-out data by using a nonbinary successive approximation register (SAR) analog-to-digital converter (ADC) that has a 1-MS/s sampling rate and 10-b resolution. The minimum-to-maximum differential and integral nonlinearity are measured as −0.32 to 0.33 and −0.43 to 0.37 least significant bits, respectively. The signal-to-noise-and-distortion ratio and effective number of bits are 57.41 dB and 9.24 bits, respectively, for an input frequency of 500 kHz and a sampling rate of 1 MS/s. The SAR ADC has a 38.9-fJ/conversion step figure of merit at the sampling rate of 1 MS/s. The proposed chip can read input signals with peak currents ranging from 20 to 750 μA and convert the analog signal into a 10-bit serial-output digital signal. The input dynamic range is 2–75 pC. The resolution of the peak current is 208.3 nA. The chip, which has an area of 1.444 mm × 10.568 mm, is implemented using CMOS 0.18-μm 1P6M technology, and the power consumption of each channel is 19 mW. This design is suitable for wearable devices, especially biomedical devices. Full article
(This article belongs to the Special Issue Bioelectronics and Wearable Devices: Sensing, Signal Processing and Powering, 2nd Edition)
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16 pages, 27879 KiB  
Article
Flexible Piezoresistive Sensors from Polydimethylsiloxane Films with Ridge-like Surface Structures
by Ming Liu, Xianchao Liu and Fuqian Yang
Micromachines 2023, 14(10), 1940; https://doi.org/10.3390/mi14101940 - 18 Oct 2023
Viewed by 1105
Abstract
Developing flexible sensors and actuators is of paramount importance for wearable devices and systems. In this research, we developed a simple and facile technique to construct flexible piezoresistive sensors from polydimethylsiloxane films with ridge-like surface structures and laser-induced porous graphene. Using a replication [...] Read more.
Developing flexible sensors and actuators is of paramount importance for wearable devices and systems. In this research, we developed a simple and facile technique to construct flexible piezoresistive sensors from polydimethylsiloxane films with ridge-like surface structures and laser-induced porous graphene. Using a replication strategy, we prepared the ridge-like surface structures from sandpapers. The piezoresistive sensors exhibit excellent sensitivity with a response time of less than 50 ms and long-term cyclic stability under mechanical loading. The smallest weight they can sense is ~96 mg. We demonstrated applications of the piezoresistive sensors in the sensing of bio-related activities, including muscle contraction, finger flexion, wrist flexion, elbow bending, knee bending, swallowing, respiration, sounds, and pulses. Full article
(This article belongs to the Special Issue Bioelectronics and Wearable Devices: Sensing, Signal Processing and Powering, 2nd Edition)
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13 pages, 6158 KiB  
Article
Integration of Capacitive Pressure Sensor-on-Chip with Lead-Free Perovskite Solar Cells for Continuous Health Monitoring
by Sameh O. Abdellatif, Afaf Moustafa, Ahmed Khalid and Rami Ghannam
Micromachines 2023, 14(9), 1676; https://doi.org/10.3390/mi14091676 - 27 Aug 2023
Cited by 2 | Viewed by 1446
Abstract
The increasing prevalence of hypertension necessitates continuous blood pressure monitoring. This can be safely and painlessly achieved using non-invasive wearable electronic devices. However, the integration of analog, digital, and power electronics into a single system poses significant challenges. Therefore, we demonstrated a comprehensive [...] Read more.
The increasing prevalence of hypertension necessitates continuous blood pressure monitoring. This can be safely and painlessly achieved using non-invasive wearable electronic devices. However, the integration of analog, digital, and power electronics into a single system poses significant challenges. Therefore, we demonstrated a comprehensive multi-scale simulation of a sensor-on-chip that was based on a capacitive pressure sensor. Two analog interfacing circuits were proposed for a full-scale operation ranging from 0 V to 5 V, enabling efficient digital data processing. We also demonstrated the integration of lead-free perovskite solar cells as a mechanism for self-powering the sensor. The proposed system exhibits varying sensitivity from 1.4 × 10−3 to 0.095 (kPa)−1, depending on the pressure range of measurement. In the most optimal configuration, the system consumed 50.5 mW, encompassing a 6.487 mm2 area for the perovskite cell and a CMOS layout area of 1.78 × 1.232 mm2. These results underline the potential for such sensor-on-chip designs in future wearable health-monitoring technologies. Overall, this paper contributes to the field of wearable health-monitoring technologies by presenting a novel approach to self-powered blood pressure monitoring through the integration of capacitive pressure sensors, analog interfacing circuits, and lead-free perovskite solar cells. Full article
(This article belongs to the Special Issue Bioelectronics and Wearable Devices: Sensing, Signal Processing and Powering, 2nd Edition)
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