Evidence map›Paper›PMID 42831102›Full record

Article... ACM/IEEE International Conference on Cyber-Physical Systems. IEEE/ACM International Conference on Cyber-Physical Systems2025

JOIN: Optimized Light Source Activation for Deep Tissue Optical Sensing.

Kourosh Vali, Begum Kasap, Ata Vafi, Soheil Ghiasi

Abstract read
In one paragraph

Article in ... ACM/IEEE International Conference on Cyber-Physical Systems. IEEE/ACM International Conference on Cyber-Physical Systems, 2025. 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

4 authors.

Kourosh ValiUniversity of California, Davis, Davis, CA, USA.ORCID 0000-0002-7165-6715
Begum KasapUniversity of California, Davis, Davis, CA, USA.ORCID 0000-0001-5894-2883
Ata VafiUniversity of California, Davis, Davis, CA, USA.ORCID 0000-0002-4540-1129
Soheil GhiasiUniversity of California, Davis, Davis, CA, USA.ORCID 0000-0002-1036-791X

Funding

TRD3: Data Analytics and Intelligent Systems (AI-ML-DL-Visualization)P41EB032840 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Griffith R. Harsh · 2022 to 2026
$6.7M
Validation of Transabdominal Fetal Pulse Oximetry in Hypoxic Fetal Lamb ModelsR21HD097467 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FARMER, DIANA LEE, GHIASI, SOHEIL · 2020 to 2021
$413k
Intrapartum Transabdominal Fetal Pulse Oximetry: Demonstration in Ewe ModelsR41HD104537 · NICHD · STORX TECHNOLOGIES, INC. · PI GHIASI, SOHEIL · 2020 to 2020
$300k
NIBIB NIH HHS P41 EB032840NICHD NIH HHS R21 HD097467NICHD NIH HHS R41 HD104537
6 · The paper itself

Abstract

In wearable optical sensing systems, non-idealities present during measurement affect the quality of acquired signals of interest. The issue is of particular significance in deep tissue sensing applications in which the signal of interest is faint relative to typical noise sources that contaminate the measured data. To mitigate the problem, we investigate the role of optimizing the light source activation pulse, specifically its toggling rate and duty cycle. We identify the potential for the optical source activation signal to mitigate the problem and characterize its design space. Subsequently, we present JOIN, an algorithm that yields the parameters of an optimized activation signal for a given profile of contextual noise profile. Through this algorithm, we strike a balance between avoiding noisy spectral regions associated with environmental disturbances and fitting a judiciously-selected number of signal harmonics into the measurement bandwidth, thereby enhancing the signal-to-noise ratio (SNR) of the acquired data from deep tissue by as much as

Indexed as

deep tissue optical sensingdesign space explorationinternet of medical thingsmedical cyber-physical systemsmulti-objective optimizationwearable embedded systems

Identifiers

PMID42831102
PMCPMC13634334

What OpenQuestion holds

Textmetadata
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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.