2019
DOI: 10.3390/nano9060813
|View full text |Cite
|
Sign up to set email alerts
|

Evolution of Wearable Devices with Real-Time Disease Monitoring for Personalized Healthcare

Abstract: Wearable devices are becoming widespread in a wide range of applications, from healthcare to biomedical monitoring systems, which enable continuous measurement of critical biomarkers for medical diagnostics, physiological health monitoring and evaluation. Especially as the elderly population grows globally, various chronic and acute diseases become increasingly important, and the medical industry is changing dramatically due to the need for point-of-care (POC) diagnosis and real-time monitoring of long-term he… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
211
0
9

Year Published

2019
2019
2022
2022

Publication Types

Select...
7
3

Relationship

0
10

Authors

Journals

citations
Cited by 330 publications
(222 citation statements)
references
References 98 publications
0
211
0
9
Order By: Relevance
“…Optical images before and after assembling with the CP electrode are shown in Figure 11F,G. Other diseases such as diabetes are also targeted in eHealth diagnosis because of their relevance worldwide [103][104][105][106]. In this paper we present many approaches based on microfluidics, and we summarize their most relevant features in terms of analytes, detection method, and limits of detection in Table 1.…”
Section: A B Cmentioning
confidence: 99%
“…Optical images before and after assembling with the CP electrode are shown in Figure 11F,G. Other diseases such as diabetes are also targeted in eHealth diagnosis because of their relevance worldwide [103][104][105][106]. In this paper we present many approaches based on microfluidics, and we summarize their most relevant features in terms of analytes, detection method, and limits of detection in Table 1.…”
Section: A B Cmentioning
confidence: 99%
“…Wearable technology has been widely developed with increasing interest in continuous physiological monitoring during daily activities 1–4. More insight into the user's health state can be obtained at molecular level with analysis of biomarkers present in sweat, such as glucose, ethanol, lactic acid, ions, cortisol, and small proteins 5–7.…”
Section: Figurementioning
confidence: 99%
“…With the entry of large industrial players like Google, the field of innovative wearable devices targeting tears is expected to grow rapidly, but these products are still in clinical trials and their commercial release is still a ways off. This indicates that some challenges still need to be addressed to successfully achieve a high level of sensitivity, linearity, and accuracy in detecting tear analytes (49,50). First, a better understanding of the correlation between analyte concentrations and variations in tear and blood is needed to improve reliability.…”
Section: Challenges and Perspectivesmentioning
confidence: 99%