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Wearable Sensors for Remote Health Monitoring of Older Adults

This special issue belongs to the section “Biomedical Sensors“.

Special Issue Information

Dear Colleagues,

The aging population worldwide presents unique healthcare challenges, and wearable sensors technology provide a proactive approach to address them. Wearable sensors collect valuable data on vital signs, physical activity, sleep patterns, and more, which enables continuous and non-invasive monitoring of various health parameters and helps to detect early signs of health deterioration, prevent falls, monitor chronic conditions, and provide personalized care based on individual needs. By facilitating remote health monitoring, wearable sensors contribute to reducing hospital visits, promoting preventive care, and enabling timely interventions, thus empowering older adults to lead healthier and more independent lives and offering tremendous potential in improving the quality of life and care for the aging population.

This Special Issue seeks to showcase cutting-edge research on smart Wearable Sensors for Remote Health Monitoring of Older Adults. Topics of interest include but are not limited to:

  • Sensor technology advancements for accurate and unobtrusive health monitoring of aging population.
  • Integration of wearable sensors with telehealth and telemedicine platforms and applications in remote health monitoring of older adults.
  • Mobile health interventions targeting elderly well-being and chronic disease management.
  • Long-term care solutions empowered by wearable sensor technology.
  • Zero-effort technology and passive sensing for continuous health monitoring.
  • Wearable sensor technologies for remote health monitoring of older adults.
  • Novel applications of wearable sensors in elderly care and well-being.
  • Wearable AI algorithms and analytics for remote health monitoring.
  • Data analytics and machine learning techniques for interpreting sensor data.
  • User experience and acceptance of wearable sensor devices among older adults.
  • Privacy and security considerations in remote health monitoring systems.
  • Ethical considerations and privacy concerns in wearable-sensor-based remote monitoring.
  • Clinical validation and effectiveness of wearable-sensor-based monitoring systems.
  • Challenges and future directions in wearable sensor technology for older adults.

Dr. Ehsan Kamrani
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 250 words) can be sent to the Editorial Office for assessment.

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. Sensors 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 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

  • wearable technology
  • wearable AI
  • sensor technology
  • telemedicine
  • remote health monitoring
  • mobile health
  • elderlies’ well-being
  • older adults
  • aging, long-term care
  • zero-effort technology

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Sensors - ISSN 1424-8220