Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 21163
Special Issue Editors
Interests: wearable devices; IoT in health; big data analytics; data visualization; long-term care; cancer management
Special Issues, Collections and Topics in MDPI journals
Interests: digital health; mHealth and management of chronic diseases and cancer; virtual reality; medical education technology; co-creation; living labs
Special Issues, Collections and Topics in MDPI journals
Interests: social media; digital health; wearable sensors; mHealth
Interests: E-health; telemedicine; mhealth; social media; ICT, health promotion
Special Issues, Collections and Topics in MDPI journals
Interests: solid-state physics; NMR relaxometry; molecular dynamics; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The last decade was prominently marked by the proliferation of “smart wearables”. This new decade is likely to see a broad adoption and application of wearable technologies in healthcare. Wearable devices are already used for the continuous monitoring of patients, better management of chronic diseases, prevention of emergency situations, improvement of care quality, and also reduction of health care costs.
In this Special Issue, we aim to focus on exploring how the use of smart sensors can improve management of chronic diseases and assist cancer survivor patients (e.g., through the collection of patient-reported outcome measurement—PREMs). It has been previously demonstrated that the approaches of telemedicine have favorable outcomes for patients with diseases such as diabetes [1], chronic heart failure [2], or chronic kidney disease [3], chronic obstructive pulmonary disease, cancer, and others [4,5]. Several technologies have been positively accepted both by patients and the doctors [3,4]. While many telemonitoring approaches rely solely on phone contact between patient and doctor, the incorporation of wearable sensor data in medical diagnostics and monitoring is gaining importance. Sensors may serve either a specific function, such as glucose monitors, or have more general applicability, such as sensors for monitoring heart rate, quality of sleep or physical activity. Sensors come in a variety of shapes and sizes; they can be dedicated wearables, smart patches, or one may instead rely on the integrated sensors in a smartphone. Wearables are able to generate vast amounts of data, which, coupled with big data analytic approaches, can be used for research, leading to further improvements in healthcare.
We anticipate that this issue will develop new insights into healthcare and research applications of wearable devices and in turn aid researchers and physicians and enhance the use of the devices among patients for a better management of cancer and chronic diseases.
Dr. Shabbir Syed Abdul
Prof. Panagiotis Bamidis
Dr. Luis Fernandez Luque
Dr. Vicente Traver
Dr. Anton Gradisek
Guest Editors
References
- Lee, Shaun Wen Huey, et al. "Comparative effectiveness of telemedicine strategies on type 2 diabetes management: a systematic review and network meta-analysis." Scientific reports 7.1 (2017): 12680.
- Bashi, Nazli, et al. "Remote monitoring of patients with heart failure: an overview of systematic reviews." Journal of medical Internet research 19.1 (2017): e18.
- Garcia, Marcos Antonio Martinez, et al. "Telemonitoring system for patients with chronic kidney disease undergoing peritoneal dialysis: Usability assessment based on a case study." PloS one 13.11 (2018): e0206600.
- Walker, Rachael C., et al. "Patient expectations and experiences of remote monitoring for chronic diseases: systematic review and thematic synthesis of qualitative studies." International journal of medical informatics 124 (2019): 78-85.
- Hanlon, Peter, et al. "Telehealth interventions to support self-management of long-term conditions: a systematic metareview of diabetes, heart failure, asthma, chronic obstructive pulmonary disease, and cancer." Journal of medical Internet research 19.5 (2017): e172.
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Keywords
- Artificial intelligence
- Digital health
- Smart sensors
- Physical activity
- Sleep behavior
- Cancer
- Diabetes miletus
- Chronic disease
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