Evidence map›Paper›PMID 36616670›Full record

ArticleSensors (Basel, Switzerland)2022

Hallway Gait Monitoring System Using an In-Package Integrated Dielectric Lens Paired with a mm-Wave Radar.

Hajar Abedi, Jennifer Boger, Plinio Pelegrini Morita, Alexander Wong, George Shaker

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 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
8.6field-weighted citation impact, top 3% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

5 authors at 1 institution in 1 country.

Hajar AbediDepartment of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.ORCID 0000-0002-4089-0373
Jennifer BogerDepartment of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.ORCID 0000-0001-6150-151X
Plinio Pelegrini MoritaSchool of Public Health Sciences, University of Waterloo, Waterloo, ON N2L 3G1, Canada.ORCID 0000-0001-9515-6478
Alexander WongDepartment of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
George ShakerElectrical and Computer Engineering Department, University of Waterloo, Waterloo, ON N2L 3G1, Canada.ORCID 0000-0002-1450-2138
University of Waterloo · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a novel hallway gait extraction system that enables an individual's spatiotemporal gait parameter extraction at each gait cycle using a single FMCW (Frequency Modulated Continuous Wave) radar. The purpose of the proposed system is to detect changes in gait that may be the signs of changes in mobility, cognition, and frailty, particularly for older adults in retirement homes. We believe that one of the straightforward applications for gait monitoring using radars is in corridors and hallways, which are commonly available in most retirement and long-term care homes. To achieve in-corridor coverage, we designed an in-package hyperbola-based lens antenna integrated with a radar module package empowered by our fast and easy-to-implement gait extraction method. We validated system functionality by capturing spatiotemporal gait values (e.g., speed, step points, step time, step length, and step count) of people walking in a hallway. The results achieved in this work pave the way to explore the use of stand-alone radar-based sensors in long hallways in retirement apartment buildings or individual's homes for use in day-to-day long-term monitoring of gait parameters of older adults.

Indexed as

Gait AnalysisRadarAgedGaitHumansMonitoring, PhysiologicWalkingdielectric lens antennaFMCW radargait extractionspatiotemporal gait parameters

Identifiers

PMID36616670
PMCPMC9823537
OpenAlexW4313574328

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.