Evidence map›Paper›PMID 40626117›Full record

ArticleIEEE open journal of control systems2025

Data-Driven Mobile Health: System Identification and Hybrid Model Predictive Control to Deliver Personalized Physical Activity Interventions.

Mohamed El Mistiri, Owais Khan, César A Martin, Eric Hekler, Daniel E Rivera

Abstract read
In one paragraph

Article in IEEE open journal of control systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Mohamed El MistiriControl Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ 85287 USA.ORCID 0000-0002-0973-812X
Owais KhanControl Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ 85287 USA.ORCID 0000-0002-6804-4275
César A MartinCampus Gustavo Galindo, Facultad de Ingeniería en Electricidad y Computación, Escuela Superior Politécnica del Litoral (ESPOL), Guayaquil 092302, Ecuador.ORCID 0000-0002-9071-5303
Eric HeklerCenter for Wireless and Population Health Systems, University of California, San Diego, CA 92093 USA.ORCID 0000-0002-7434-0775
Daniel E RiveraControl Systems Engineering Laboratory, School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ 85287 USA.ORCID 0000-0002-3141-0577

Funding

Optimizing Individualized and Adaptive mHealth Interventions via Control Systems Engineering MethodsR01CA244777 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HEKLER, ERIC, RIVERA, DANIEL E · 2020 to 2024
$3.8M
SCH: Control Systems Engineering for Counteracting Notification Fatigue: An Examination of Health Behavior Change R01LM013107 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HEKLER, ERIC, KLASNJA, PREDRAG · 2019 to 2022
$995k
NCI NIH HHS R01 CA244777NLM NIH HHS R01 LM013107
6 · The paper itself

Abstract

The integration of control systems principles in behavioral medicine involves developing interventions that can be personalized to foster healthy behaviors, such as meaningful and consistent engagement in physical activity. In this paper, system identification and hybrid model predictive control are applied to design individualized behavioral interventions using the

Indexed as

Control-oriented modelingemerging control applicationshealthcare and medical systemsidentificationpredictive control for linear systems

Identifiers

PMID40626117
PMCPMC12230519

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.