Evidence map›Paper›PMID 39860927›Full record

ArticleSensors (Basel, Switzerland)2025

Key Fundamentals and Examples of Sensors for Human Health: Wearable, Non-Continuous, and Non-Contact Monitoring Devices.

Sara Guarducci, Sara Jayousi, Stefano Caputo, Lorenzo Mucchi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Skin-Inspired Healthcare Electronics.Biomimetics (Basel, Switzerland) · 2025
    Review
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sara GuarducciDepartment of Information Engineering, University of Florence, 50139 Florence, Italy.
Sara JayousiPIN Foundation-Prato Campus, University of Florence, 59100 Prato, Italy.
Stefano CaputoDepartment of Information Engineering, University of Florence, 50139 Florence, Italy.ORCID 0000-0002-4516-8910
Lorenzo MucchiDepartment of Information Engineering, University of Florence, 50139 Florence, Italy.ORCID 0000-0001-6389-0221

Funding

European Telecommunication Standard Institute (ETSI) Smart Body Area Networks (SmartBAN) Technical Committee,European Union's Horizon 907 2020 programme 101017331European Union's Horizon 907 2020 programme 872752Fondazione Cassa di 908 Risparmio di Firenze SmartHUB project on Medical & Social ICT for Territorial Assistance
6 · The paper itself

Abstract

The increasing demand for personalized healthcare, particularly among individuals requiring continuous health monitoring, has driven significant advancements in sensor technology. Wearable, non-continuous monitoring, and non-contact sensors are leading this innovation, providing novel methods for monitoring vital signs and physiological data in both clinical and home settings. However, there is a lack of comprehensive comparative studies assessing the overall functionality of these technologies. This paper aims to address this gap by presenting a detailed comparative analysis of selected wearable, non-continuous monitoring, and non-contact sensors used for health monitoring. To achieve this, we conducted a comprehensive evaluation of various sensors available on the market, utilizing key indicators such as sensor performance, usability, associated platforms functionality, data management, battery efficiency, and cost-effectiveness. Our findings highlight the strengths and limitations of each sensor type, thus offering valuable insights for the selection of the most appropriate technology based on specific healthcare needs. This study has the potential to serve as a valuable resource for researchers, healthcare providers, and policymakers, contributing to a deeper understanding of existing user-centered health monitoring solutions.

Indexed as

Biosensing TechniquesWearable Electronic DevicesHumansMonitoring, Physiologichealth monitoringinformation and communication technologiesinternet of thingspersonalized healthcaresensors

Identifiers

PMID39860927
PMCPMC11769560

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.