Wearable Sensors and Portable Electronics for Health and Sleep Monitoring

Dear Colleagues,

It is our pleasure invite you to submit a research paper to this Special Issue dedicated to “Wearable Sensors and Portable Electronics for Health and Sleep Monitoring”. Submissions covering the most promising approaches and ideas in the fields of sensors and software in clinical and lifestyle applications for health and sleep monitoring, smart healthcare, data-driven technology, IoT, and other relevant areas are all welcome.

In recent years, the notions of "smart healthcare", “IoT”, and “sleep wearables” have gained widespread acceptance. Smart healthcare are appealing because innovative technology is integrated with eco-friendly infrastructure. Internet of Medical Things (IoMT) is a key component of the infrastructure of smart cities as a new sustainable approach due to its incredible potential to develop technologies such as sleep study, body sensor network, real-time patient monitoring, smart clinics, electronic health records, wearable patches, sleep wearables, and so on. To make sure that future healthcare is sustainable, it is important to build a wearble sensor platform infrastructure that is secure, scalable, and reliable for the patients and healthcare service providers.

However, throughout the design, implementation, and operation phases, there are challenges to the practical implementation of smart home and smart clinics with supporting technogies, such as IoT, eHealth, and smart home. The cost of design and operation, sensor heterogeneity, huge data acquisition and processing, data security, and long-term sustainability are among the key challenges.

To mitigate these, researchers are increasingly developing wide varieties of sustainable sensors and algorimtms that may be used to pave the way for smart sleep and health monitoring systems. Wearable senors, sleep science, real-time sleep monitoring, IoMT, cyber-physical systems, sleep stage and apnea prediction, cloud and service-oriented computing, e-health, intelligent health monitoring systems, machine learning, artificial intelligence, and healthcare blockchain technology are just a few examples of how technology can be enabling. The integration of various enabling technologies is an emerging field that presents significant potential for sleep and healthcare sensor research.

This Special Issue entitled “Wearable Sensors and Portable Electronics for Health and Sleep Monitoring” covers various subjects related to sustainability, smart cities, smart healthcare, data-driven technology, and IoT.

Dr. Iqram Hussain
Guest Editor

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. Electronics is an international peer-reviewed open access semimonthly 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 2400 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.

• sleep science
• real-time health monitoring
• sleep monitiring systems
• polysomnography (PSG)
• Internet of Medical Things (IoMT)
• smart healthcare
• data-driven technology
• digital twin
• Internet of Things (IoT)
• sleep stage research
• apnea and sleep disorders
• wearable sensors
• healthcare big data
• wearable patches
• boby sensor network
• machine learning/deep learning
• methods and algorithms
• signal processing (EEG, ECG, EMG, EDA, GSR)
• sleep activity recognition
• biomedical techniques
• sleep medicine
• smart home
• data science
• application blockchain in healthcare