Evidence map›Paper›PMID 37514879›Full record

ReviewSensors (Basel, Switzerland)2023

Smart Detecting and Versatile Wearable Electrical Sensing Mediums for Healthcare.

Ahsan Ali, Muaz Ashfaq, Aleen Qureshi, Umar Muzammil, Hamna Shaukat, Shaukat Ali, Wael A Altabey, Mohammad Noori, Sallam A Kouritem

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

9 authors.

Ahsan AliDepartment of Mechatronics Engineering, University of Wah, Wah Cantonment 47040, Pakistan.
Muaz AshfaqDepartment of Mechatronics Engineering, University of Wah, Wah Cantonment 47040, Pakistan.
Aleen QureshiDepartment of Mechatronics Engineering, University of Wah, Wah Cantonment 47040, Pakistan.
Umar MuzammilDepartment of Mechatronics Engineering, University of Wah, Wah Cantonment 47040, Pakistan.
Hamna ShaukatDepartment of Chemical and Energy Engineering, Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology, Mang 22621, Pakistan.
Shaukat AliDepartment of Mechatronics Engineering, University of Wah, Wah Cantonment 47040, Pakistan.
Wael A AltabeyInternational Institute for Urban Systems Engineering (IIUSE), Southeast University, Nanjing 210096, China.ORCID 0000-0002-3618-1187
Mohammad NooriDepartment of Mechanical Engineering, California Polytechnic State University, San Luis Obispo, CA 93405, USA.ORCID 0000-0002-2793-5194
Sallam A KouritemDepartment of Mechanical Engineering, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt.ORCID 0000-0003-0675-2994

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A rapidly expanding global population and a sizeable portion of it that is aging are the main causes of the significant increase in healthcare costs. Healthcare in terms of monitoring systems is undergoing radical changes, making it possible to gauge or monitor the health conditions of people constantly, while also removing some minor possibilities of going to the hospital. The development of automated devices that are either attached to organs or the skin, continually monitoring human activity, has been made feasible by advancements in sensor technologies, embedded systems, wireless communication technologies, nanotechnologies, and miniaturization being ultra-thin, lightweight, highly flexible, and stretchable. Wearable sensors track physiological signs together with other symptoms such as respiration, pulse, and gait pattern, etc., to spot unusual or unexpected events. Help may therefore be provided when it is required. In this study, wearable sensor-based activity-monitoring systems for people are reviewed, along with the problems that need to be overcome. In this review, we have shown smart detecting and versatile wearable electrical sensing mediums in healthcare. We have compiled piezoelectric-, electrostatic-, and thermoelectric-based wearable sensors and their working mechanisms, along with their principles, while keeping in view the different medical and healthcare conditions and a discussion on the application of these biosensors in human health. A comparison is also made between the three types of wearable energy-harvesting sensors: piezoelectric-, electrostatic-, and thermoelectric-based on their output performance. Finally, we provide a future outlook on the current challenges and opportunities.

Indexed as

Biosensing TechniquesWearable Electronic DevicesCulture MediaElectricityHealth Care CostsHumansCulture Mediaelectrical sensing mediumselectrostaticenergy harvestinghealthcarepiezoelectricthermoelectricwearable sensors

Identifiers

PMID37514879
PMCPMC10384670

What OpenQuestion 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 OpenQuestion graph.