Smartphone Sensors for Health Monitoring and Diagnosis
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: closed (27 February 2022) | Viewed by 5825
Special Issue Editor
2. Afeka College of Engineering, Tel Aviv-Yafo, 6910717, Israel
Interests: intelligent interfaces for Human-computer interaction; emotion recognition in speech and facial expressions; automated detection and monitoring of diseases and disorders from voice; face and gesture analysis
Special Issue Information
Dear Colleagues,
The previous decade brought with it a proliferation of mobile healthcare technologies. This growth stemmed from the global increase in smartphone usage. Smartphones became affordable and exhibited a constant improvement in their processing power, memory, and sensors. These qualities placed mobile health in a prominent position in the e-Health space.
Mobile healthcare research has made use of the growing quality of mobile phone sensors. Enhanced resolution and precision in auditory and visual data acquisition could provide accurate and reliable data on medical conditions. Kinematic and location sensors could complement data on mobility. Healthcare data could be collected from remote places, in and out of home, and do not necessitate equipment installation and placement.
Improved sensors attributes have enabled large-scale healthcare data collection, across multiple domains, from neurology, cardiology, and dermatology, to mental health disciplines. Mobile phone data acquisition has been applied in large-scale screening of diseases and disorders, diagnosis assistance, effective monitoring of health conditions, and rehabilitation.
A major limitation of the mobile technologies is the profusion of different mobile devices, brands, and models. The assessment and handling of the different quality attributes of different devices pose a grave challenge for mHealth technologies.
This Special Issue will gather prominent studies on m-health technologies, investigating the limitations and the potential of these technologies in healthcare.
Prof. Dr. Vered Aharonson
Guest Editor
Manuscript Submission Information
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