Evidence map›Paper›PMID 31795483›Full record

ReviewSensors (Basel, Switzerland)2019

A Survey on LPWAN Technologies in WBAN for Remote Health-Care Monitoring.

Damilola D Olatinwo, Adnan Abu-Mahfouz, Gerhard Hancke

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Breaking Barriers in Emerging Biomedical Applications.Entropy (Basel, Switzerland) · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. IoT in the Wake of COVID-19: A Survey on Contributions, Challenges and Evolution.IEEE access : practical innovations, open solutions · 2020
    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

3 authors.

Damilola D OlatinwoDepartment of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0001, South Africa.
Adnan Abu-MahfouzDepartment of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0001, South Africa.
Gerhard HanckeDepartment of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0001, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In ubiquitous health-care monitoring (HCM), wireless body area networks (WBANs) are envisioned as appealing solutions that may offer reliable methods for real-time monitoring of patients' health conditions by employing the emerging communication technologies. This paper therefore focuses more on the state-of-the-art wireless communication systems that can be explored in the next-generation WBAN solutions for HCM. Also, this study addressed the critical issues confronted by the existing WBANs that are employed in HCM. Examples of such issues include wide-range health data communication constraint, health data delivery reliability concern, and energy efficiency, which are attributed to the limitations of the legacy short range, medium range, and the cellular technologies that are typically employed in WBAN systems. Since the WBAN sensor devices are usually configured with a finite battery power, they often get drained during prolonged operations. This phenomenon is technically exacerbated by the fact that the legacy communication systems, such as ZigBee, Bluetooth, 6LoWPAN, and so on, consume more energy during data communications. This unfortunate situation offers a scope for employing suitable communication systems identified in this study to improve the productivity of WBANs in HCM. For this to be achieved, the emerging communication systems such as the low-power wide-area networks (LPWANs) are investigated in this study based on their power transmission, data transmission rate, data reliability in the context of efficient data delivery, communication coverage, and latency, including their advantages, as well as disadvantages. As a consequence, the LPWAN solutions are presented for WBAN systems in remote HCM. Furthermore, this research work also points out future directions for the realization of the next-generation of WBANs, as well as how to improve the identified communication systems, to further enhance their productivity in WBAN solutions for HCM.

Indexed as

Monitoring, PhysiologicWearable Electronic DevicesBiosensing TechniquesComputer Communication NetworksHuman BodyHumansWireless Technology5Gcloud computingenergy efficiencyhealth-care monitoringLoRaLPWANmedical nanosensorsNB-IoTSigfoxWBAN

Identifiers

PMID31795483
PMCPMC6929153

What OpenQuestion holds

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LicenceCC BY
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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.