Abstract
We concentrate on the importance and future conceptual development of wearable devices as the major means of personalized healthcare. We discuss and address the role of wearables in the new era of healthcare in proactive medicine. This work addresses the behavioral, environmental, physiological, and psychological parameters as the most effective domains in personalized healthcare, and the wearables are categorized according to the range of measurements. The importance of multi-parameter, multi-domain monitoring and the respective interactions are further discussed and the generation of wearables based on the number of monitoring area(s) is consequently formulated.
Highlights
We concentrate on the importance and future conceptual development of wearable devices as the major means of personalized healthcare
Wearables need to simultaneously monitor environmental, behavioral, physiological, and psychological parameters; Wearable design, features, and functionalities should bridge users, healthcare professionals, and caregivers; Wearables should deliver customized quantified output by linking a customized user profile and disease specifications; Unified, unique, ubiquitous, and unobtrusive (U4) are proposed as the criteria for the future generation of wearables; Wearables should address the concerns of users and healthcare professionals according to cost-effective, convenient, continuous, and complete (C4) and anywhere, anything, anytime, and anyone (A4), respectively
Chemosensors 2020, 8, 85 navigation [4], fitness [5], and sport [6] to healthcare [7], entertainment [8], and industry [9], and they have been introduced as important players in the Internet of Things (IoT) era [10]
Summary
The healthcare system includes another party in addition to patients: physicians and professional caregivers might benefit from big data collection and prolonged monitoring to obtain a more accurate diagnosis and to help with decision-making. Stress and strain can be the most valuable parameters in the psychological aspect [29] These four areas are interwoven because each parameter in a domain might be influenced by the parameter(s) in the other domains; extensive data measurement, collection, fusion, and integration are necessary to calculate the mutual impact among different parameters and to assign a weight to each. This means that adequate decision-making and identification of a medical diagnosis are the functions of proper algorithm development, which require effective data, collection, fusion, and integration, which are impacted by continuous monitoring [30]. Analysis and decision-making is considering historical medical records
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