Integrated Circuit Sensors for Healthcare Sensing and Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Electronic Sensors".
Deadline for manuscript submissions: closed (5 October 2021) | Viewed by 468
Special Issue Editors
Interests: microelectronic circuits and microsystems
Special Issue Information
Dear Colleagues,
The new generation of smart healthcare relies on artificial intelligence, cloud computing and big data in order to provide early diagnosis of patient health, therefore enabling a more efficient medical care system. As a result, there is a growing interest and demand in integrated circuit sensors for healthcare sensing and monitoring applications. All the relevant health information can be retrieved by these highly integrated sensing devices since they benefit from a small size, a high accuracy, a low power consumption and a low cost. These integrated circuits should monitor not only key patient health parameters (e.g., heart rate, blood pressure, intraocular pressure and temperature), but also key environmental parameters (e.g., indoor air quality) and key blood parameters (e.g., blood sugar levels, viruses and biomolecules).
This Special Issue encourages authors from academia and industry to submit new research results about technological innovations and novel applications in the field of healthcare sensing and monitoring. Low-power, energy-efficient circuit and system design techniques for sensing physiological and physical parameters will be the focus of this Special Issue. Hence, contributions may include but are not limited to device-, circuit- and system-level techniques. Topics that will be considered in this Special Issue include but are not limited to the following:
- Temperature and pressure sensors for biomedical application;
- PPG;
- Biopotential sensors (e.g., ECG, EEG, EMG);
- Biomolecular sensors (magnetic, photonic, impedance);
- Detection of bacteria and other contaminants;
- Bioparameter measurement;
- Microelectrode arrays;
- Gas sensing for air quality monitoring;
- Lab-on-a-chip.
Prof. Helene Tap
Dr. Olivier Bernal
Guest Editors
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