Evidence map›Paper›PMID 39124029›Full record

ArticleSensors (Basel, Switzerland)2024

Direct Memory Access-Based Data Storage for Long-Term Acquisition Using Wearables in an Energy-Efficient Manner.

Cosmin C Dobrescu, Iván González, David Carneros-Prado, Jesús Fontecha, Christopher Nugent

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Cosmin C DobrescuDepartament of Information Technologies and System, University of Castilla-La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain.ORCID 0000-0002-4227-6748
Iván GonzálezDepartament of Information Technologies and System, University of Castilla-La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain.ORCID 0000-0001-5302-1831
David Carneros-PradoDepartament of Information Technologies and System, University of Castilla-La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain.ORCID 0000-0003-4042-3713
Jesús FontechaDepartament of Information Technologies and System, University of Castilla-La Mancha, Paseo de la Universidad 4, 13071 Ciudad Real, Spain.ORCID 0000-0001-6379-6841
Christopher NugentSchool of Computing, Ulster University, Belfast BT15 1ED, UK.ORCID 0000-0003-0882-7902

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces a lightweight storage system for wearable devices, aiming to optimize energy efficiency in long-term and continuous monitoring applications. Utilizing Direct Memory Access and the Serial Peripheral Interface protocol, the system ensures efficient data transfer, significantly reduces energy consumption, and enhances the device autonomy. Data organization into Time Block Data (TBD) units, rather than files, significantly diminishes control overhead, facilitating the streamlined management of periodic data recordings in wearable devices. A comparative analysis revealed marked improvements in energy efficiency and write speed over existing file systems, validating the proposed system as an effective solution for boosting wearable device performance in health monitoring and various long-term data acquisition scenarios.

Indexed as

continuous monitoringDMA controllerembedded storage managementlong-term monitoringultra-low power data storagewearable devices

Identifiers

PMID39124029
PMCPMC11315031

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.