Evidence map›Paper›PMID 35062398›Full record

ReviewSensors (Basel, Switzerland)2022

Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges.

Sophini Subramaniam, Sumit Majumder, Abu Ilius Faisal, M Jamal Deen

Open access · goldAbstract readReview
In one paragraph

Review 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 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
10.2field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 104 citations in OpenAlex.

  1. Pooled it
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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 at 2 institutions in 2 countries.

Sophini SubramaniamSchool of Biomedical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada.ORCID 0000-0001-7872-607X
Sumit MajumderElectrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada.ORCID 0000-0003-0517-6008
Abu Ilius FaisalElectrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada.ORCID 0000-0002-5971-306X
M Jamal DeenSchool of Biomedical Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada.ORCID 0000-0002-6390-0933
McMaster University · CAChittagong University of Engineering & Technology · BD

Funding

CRC Program CRCNSERC of Canada NSERC
6 · The paper itself

Abstract

Wearable health monitoring devices allow for measuring physiological parameters without restricting individuals' daily activities, providing information that is reflective of an individual's health and well-being. However, these systems need to be accurate, power-efficient, unobtrusive and simple to use to enable a reliable, convenient, automatic and ubiquitous means of long-term health monitoring. One such system can be embedded in an insole to obtain physiological data from the plantar aspect of the foot that can be analyzed to gain insight into an individual's health. This manuscript provides a comprehensive review of insole-based sensor systems that measure a variety of parameters useful for overall health monitoring, with a focus on insole-based PPD measurement systems developed in recent years. Existing solutions are reviewed, and several open issues are presented and discussed. The concept of a fully integrated insole-based health monitoring system and considerations for future work are described. By developing a system that is capable of measuring parameters such as PPD, gait characteristics, foot temperature and heart rate, a holistic understanding of an individual's health and well-being can be obtained without interrupting day-to-day activities. The proposed device can have a multitude of applications, such as for pathology detection, tracking medical conditions and analyzing gait characteristics.

Indexed as

ShoesWearable Electronic DevicesFootGaitHumansPressuregait analysishealth monitoringIMUmedical deviceplantar pressure distributionpressure sensorsmart insolewearable sensors

Identifiers

PMID35062398
PMCPMC8780030
OpenAlexW4205175281

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.