Evidence map›Paper›PMID 22163845›Full record

ArticleSensors (Basel, Switzerland)2011

SMS-based medical diagnostic telemetry data transmission protocol for medical sensors.

Ben Townsend, Jemal Abawajy, Tai-Hoon Kim

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. Intelligent Telehealth System To Support Epilepsy Diagnosis.Journal of multidisciplinary healthcare · 2020
    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

3 authors at 2 institutions in 2 countries.

Ben TownsendSchool of Information Technology, Deakin University, Geelong, VIC 3217, Australia. bjt5150@gmail.com
Jemal Abawajy
Tai-Hoon Kim
Deakin University · AUHannam University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People with special medical monitoring needs can, these days, be sent home and remotely monitored through the use of data logging medical sensors and a transmission base-station. While this can improve quality of life by allowing the patient to spend most of their time at home, most current technologies rely on hardwired landline technology or expensive mobile data transmissions to transmit data to a medical facility. The aim of this paper is to investigate and develop an approach to increase the freedom of a monitored patient and decrease costs by utilising mobile technologies and SMS messaging to transmit data from patient to medico. To this end, we evaluated the capabilities of SMS and propose a generic communications protocol which can work within the constraints of the SMS format, but provide the necessary redundancy and robustness to be used for the transmission of non-critical medical telemetry from data logging medical sensors.

Indexed as

Wireless TechnologyHumansMonitoring, AmbulatoryTelemedicineTelemetrydata communicationsdata transmissionGSMinformation privacyinformation securitymedical telemetrymobile communicationsshort message serviceSMStelemetry

Identifiers

PMID22163845
PMCPMC3231350
OpenAlexW2167976096

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.