Evidence map›Paper›PMID 27727174›Full record

ArticleSensors (Basel, Switzerland)2016

Design and Evaluation of a Scalable and Reconfigurable Multi-Platform System for Acoustic Imaging.

Alberto Izquierdo, Juan José Villacorta, Lara Del Val Puente, Luis Suárez

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. XCycles Backprojection Acoustic Super-Resolution.Sensors (Basel, Switzerland) · 2021
    Article
  5. SuperRF: Enhanced 3D RF Representation Using Stationary Low-Cost mmWave Radar.International Conference on Embedded Wireless Systems and Networks (EWSN) ... · 2020
    Article
  6. Article
  7. 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

4 authors.

Alberto IzquierdoSignal Theory and Communications Department, University of Valladolid, Valladolid 47011, Spain. alberto.izquierdo@tel.uva.es.
Juan José VillacortaSignal Theory and Communications Department, University of Valladolid, Valladolid 47011, Spain. juavil@tel.uva.es.
Lara Del Val PuenteMechanical Engineering Area, Industrial Engineering School, University of Valladolid, Valladolid 47011, Spain. lvalpue@eii.uva.es.
Luis SuárezCivil Engineering Department, Superior Technical College, University of Burgos, Burgos 09001, Spain. luis.a.suarez.vivar@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper proposes a scalable and multi-platform framework for signal acquisition and processing, which allows for the generation of acoustic images using planar arrays of MEMS (Micro-Electro-Mechanical Systems) microphones with low development and deployment costs. Acoustic characterization of MEMS sensors was performed, and the beam pattern of a module, based on an 8 × 8 planar array and of several clusters of modules, was obtained. A flexible framework, formed by an FPGA, an embedded processor, a computer desktop, and a graphic processing unit, was defined. The processing times of the algorithms used to obtain the acoustic images, including signal processing and wideband beamforming via FFT, were evaluated in each subsystem of the framework. Based on this analysis, three frameworks are proposed, defined by the specific subsystems used and the algorithms shared. Finally, a set of acoustic images obtained from sound reflected from a person are presented as a case study in the field of biometric identification. These results reveal the feasibility of the proposed system.

Indexed as

acoustic imagingMEMS arraymulti-platform frameworkscalable system

Identifiers

PMID27727174
PMCPMC5087459

What OpenQuestion holds

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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.