Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
versions View all 2 versions
addClaim

Wearable Sensors: A New Way to Track Health and Wellness

Authors: A.S.Hovan George; Aakifa Shahul; Dr.A.Shaji George;

Wearable Sensors: A New Way to Track Health and Wellness

Abstract

Wearable technology and sensors are emerging as promising tools for continuous, real-time health monitoring. From smart watches to fitness trackers and internet-connected clothing, wearables equipped with sensors allow users to measure and analyze data related to their physiological state, activities, and overall wellbeing. This paper explores the capabilities of current wearable sensors and their potential to provide novel insights into individual health patterns. Fitness trackers containing accelerometers and optical heart rate monitors are already widely used by consumers to count steps and monitor heart rate during exercise. However, clinical-grade wearable sensors are now being developed to accurately measure critical vital signs. These include blood pressure, respiration rate, oxygen saturation, skin temperature, hydration levels, and more. Wireless integration and machine learning algorithms enable wearables to track health indicators 24/7 and provide feedback to users and clinicians. Early detection of abnormal vital sign changes via wearable sensors could allow for timely medical interventions in high-risk patients. Personalized health recommendations and behavior modifications could also be delivered to consumers based on their unique sensor data profiles. Overall, wearable sensors may enhance wellness by increasing self-awareness of diet, sleep, activity, and stress patterns. However, there remain challenges regarding wearable sensor accuracy, reliability, and clinical validation. Measuring health data is only useful if patients and providers understand how to act upon it. Thus interdisciplinary research across technology, medicine, and public health is still needed to truly unlock the promise of wearables in improving health on a global scale. Nevertheless, wearable sensors are a groundbreaking advancement primed to take health tracking to the next level through informed and empowered individuals. This research paper summarizes the key topics, opportunities and challenges associated with using wearable sensors for health monitoring. It aims to provide readers with an overview of this emerging field and its implications.

Keywords

Wearable sensors, Biometrics, Activity tracking, Remote monitoring, mHealth, Smartwatches Digital biomarkers, Patient engagement, Preventive medicine, Precision health.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 21
    download downloads 15
  • 21
    views
    15
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
2
Average
Average
Average
21
15
Green