Evidence map›Paper›PMID 22844645›Full record

ArticleHealthcare informatics research2012

Wearable sensors in healthcare and sensor-enhanced health information systems: all our tomorrows?

Michael Marschollek, Matthias Gietzelt, Mareike Schulze, Martin Kohlmann, Bianying Song, Klaus-Hendrik Wolf

Registry-linked trialAbstract read
In one paragraph

Article in Healthcare informatics research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02575131 (The Effect of Breakfast Test Products on Acute Satiety Scores in Different Test Conditions), which is not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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.

NCT02575131 phase2completednot on this mapstarted 2015, after this paper: background citation

The Effect of Breakfast Test Products on Acute Satiety Scores in Different Test Conditions

TypeinterventionalSponsorTNORan2015 to 2016Enrolled32ConditionsObesityArmswhole wheat bread yeast basis, Oatmeal, Cheerios, whole wheat sourdough bread, standard breakfast
3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Multi-Sensor Fusion for Activity Recognition-A Survey.Sensors (Basel, Switzerland) · 2019
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Evaluation of Remote Monitoring Device for Monitoring Vital Parameters against Reference Standard: A Diagnostic Validation Study for COVID-19 Preparedness.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

6 authors.

Michael MarschollekHanover Medical School, Peter L. Reichertz Institute for Medical Informatics, Hanover, Germany.
Matthias Gietzelt
Mareike Schulze
Martin Kohlmann
Bianying Song
Klaus-Hendrik Wolf

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable sensor systems which allow for remote or self-monitoring of health-related parameters are regarded as one means to alleviate the consequences of demographic change. This paper aims to summarize current research in wearable sensors as well as in sensor-enhanced health information systems. Wearable sensor technologies are already advanced in terms of their technical capabilities and are frequently used for cardio-vascular monitoring. Epidemiologic predictions suggest that neuropsychiatric diseases will have a growing impact on our health systems and thus should be addressed more intensively. Two current project examples demonstrate the benefit of wearable sensor technologies: long-term, objective measurement under daily-life, unsupervised conditions. Finally, up-to-date approaches for the implementation of sensor-enhanced health information systems are outlined. Wearable sensors are an integral part of future pervasive, ubiquitous and person-centered health care delivery. Future challenges include their integration into sensor-enhanced health information systems and sound evaluation studies involving measures of workload reduction and costs.

Indexed as

Ambulatory MonitoringDecision Support SystemsHealth Information Technology

Identifiers

PMID22844645
PMCPMC3402561

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.