Evidence map›Paper›PMID 31185629›Full record

ReviewSensors (Basel, Switzerland)2019

Monitoring Methods of Human Body Joints: State-of-the-Art and Research Challenges.

Abu Ilius Faisal, Sumit Majumder, Tapas Mondal, David Cowan, Sasan Naseh, M Jamal Deen

Open access · goldAbstract 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 44 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 6 pooled it
8.0field-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

44 citing papers in PubMed, 6 syntheses or guidelines pooled it, 175 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Abu Ilius FaisalDepartment of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada. faisaa4@mcmaster.ca.
Sumit MajumderDepartment of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada. majums3@mcmaster.ca.ORCID 0000-0003-0517-6008
Tapas MondalDepartment of Pediatrics, McMaster University, Hamilton, ON L8S 4L8, Canada. mondalt@mcmaster.ca.
David CowanDepartment of Medicine, St. Joseph's Healthcare Hamilton, Hamilton, ON L8N 4A6, Canada. cowand@mcmaster.ca.
Sasan NasehDepartment of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada. sasan_naseh@yahoo.com.
M Jamal DeenDepartment of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada. jamal@mcmaster.ca.ORCID 0000-0002-6390-0933
McMaster University · CASt. Joseph’s Healthcare Hamilton · CA

Funding

Canada Research Chairs xx
6 · The paper itself

Abstract

The world's population is aging: the expansion of the older adult population with multiple physical and health issues is now a huge socio-economic concern worldwide. Among these issues, the loss of mobility among older adults due to musculoskeletal disorders is especially serious as it has severe social, mental and physical consequences. Human body joint monitoring and early diagnosis of these disorders will be a strong and effective solution to this problem. A smart joint monitoring system can identify and record important musculoskeletal-related parameters. Such devices can be utilized for continuous monitoring of joint movements during the normal daily activities of older adults and the healing process of joints (hips, knees or ankles) during the post-surgery period. A viable monitoring system can be developed by combining miniaturized, durable, low-cost and compact sensors with the advanced communication technologies and data processing techniques. In this study, we have presented and compared different joint monitoring methods and sensing technologies recently reported. A discussion on sensors' data processing, interpretation, and analysis techniques is also presented. Finally, current research focus, as well as future prospects and development challenges in joint monitoring systems are discussed.

Indexed as

Monitoring, PhysiologicWearable Electronic DevicesAgedBiomechanical PhenomenaFemaleHuman BodyHumansJointsMovementRange of Motion, Articulargoniometerinertial measurement unit (IMU)joint anglesjoint monitoring systemoptical sensorsrange of motion (ROM)sensor fusionskeletal trackingtextile-based sensorswearable sensors

Identifiers

PMID31185629
PMCPMC6603670
OpenAlexW2948471521

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.