Evidence map›Paper›PMID 36236697›Full record

ArticleSensors (Basel, Switzerland)2022

Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature.

Amith Khandakar, Sakib Mahmud, Muhammad E H Chowdhury, Mamun Bin Ibne Reaz, Serkan Kiranyaz, Zaid Bin Mahbub, Sawal Hamid Md Ali, Ahmad Ashrif A Bakar, Mohamed Arselene Ayari, Mohammed Alhatou and 2 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% of its field
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Design and Implementation of ESP32-Based IoT Devices.Sensors (Basel, Switzerland) · 2023
    Article
  17. Article
  18. Article
  19. Review
  20. Review
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

12 authors at 4 institutions in 3 countries.

Amith KhandakarDepartment of Electrical Engineering, Qatar University, Doha 2713, Qatar.ORCID 0000-0001-7068-9112
Sakib MahmudDepartment of Electrical Engineering, Qatar University, Doha 2713, Qatar.ORCID 0000-0002-4599-2192
Muhammad E H ChowdhuryDepartment of Electrical Engineering, Qatar University, Doha 2713, Qatar.ORCID 0000-0003-0744-8206
Mamun Bin Ibne ReazDepartment of Electrical, Electronics and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.ORCID 0000-0002-0459-0365
Serkan KiranyazDepartment of Electrical Engineering, Qatar University, Doha 2713, Qatar.
Zaid Bin MahbubDepartment of Physics and Mathematics, North South University, Dhaka 1229, Bangladesh.
Sawal Hamid Md AliDepartment of Electrical, Electronics and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.ORCID 0000-0002-4819-863X
Ahmad Ashrif A BakarDepartment of Electrical, Electronics and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.ORCID 0000-0002-9060-0346
Mohamed Arselene AyariDepartment of Civil and Architectural Engineering, College of Engineering, Qatar University, Doha 2713, Qatar.ORCID 0000-0002-8663-886X
Mohammed AlhatouNeuromuscular Division, Hamad General Hospital and Department of Neurology; Al Khor Hospital, Doha 3050, Qatar.
Mohammed Abdul-MoniemDepartment of Electrical Engineering, Qatar University, Doha 2713, Qatar.
Md Ahasan Atick FaisalDepartment of Electrical Engineering, Qatar University, Doha 2713, Qatar.
Qatar University · QANational University of Malaysia · MYHamad General Hospital · QANorth South University · BD

Funding

National University of Malaysia GUP-2021-019National University of Malaysia UKM-TR-011Qatar National Research Fund NPRP12S-0227-190164Qatar University IRCC-2021-001
6 · The paper itself

Abstract

An intelligent insole system may monitor the individual's foot pressure and temperature in real-time from the comfort of their home, which can help capture foot problems in their earliest stages. Constant monitoring for foot complications is essential to avoid potentially devastating outcomes from common diseases such as diabetes mellitus. Inspired by those goals, the authors of this work propose a full design for a wearable insole that can detect both plantar pressure and temperature using off-the-shelf sensors. The design provides details of specific temperature and pressure sensors, circuit configuration for characterizing the sensors, and design considerations for creating a small system with suitable electronics. The procedure also details how, using a low-power communication protocol, data about the individuals' foot pressure and temperatures may be sent wirelessly to a centralized device for storage. This research may aid in the creation of an affordable, practical, and portable foot monitoring system for patients. The solution can be used for continuous, at-home monitoring of foot problems through pressure patterns and temperature differences between the two feet. The generated maps can be used for early detection of diabetic foot complication with the help of artificial intelligence.

Indexed as

Artificial IntelligenceDiabetic FootHumansPressureShoesTemperaturebluetooth communicationplantar pressureplantar temperatureremote health monitoringsmart insole

Identifiers

PMID36236697
PMCPMC9572216
OpenAlexW4303982473

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.