Evidence map›Paper›PMID 35408181›Full record

ArticleSensors (Basel, Switzerland)2022

Long-Term Polygraphic Monitoring through MEMS and Charge Transfer for Low-Power Wearable Applications.

Alessandro Manoni, Alessandro Gumiero, Alessandro Zampogna, Chiara Ciarlo, Lorenzo Panetta, Antonio Suppa, Luigi Della Torre, Fernanda Irrera

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 3 institutions in 1 country.

Alessandro ManoniDepartment of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0003-1232-0354
Alessandro GumieroSTMicroelectronics, 20864 Agrate Brianza, Italy.
Alessandro ZampognaDepartment of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-0227-1993
Chiara CiarloDepartment of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0002-4996-2820
Lorenzo PanettaDepartment of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0002-0238-2837
Antonio SuppaDepartment of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0001-9903-5550
Luigi Della TorreSTMicroelectronics, 20864 Agrate Brianza, Italy.
Fernanda IrreraDepartment of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0003-1831-6786
Sapienza University of Rome · ITSTMicroelectronics (Italy) · ITIstituto Neurologico Mediterraneo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we propose a wireless wearable system for the acquisition of multiple biopotentials through charge transfer electrostatic sensors realized in MEMS technology. The system is designed for low power consumption and low invasiveness, and thus candidates for long-time monitoring in free-living conditions, with data recording on an SD or wireless transmission to an external elaborator. Thanks to the wide horizon of applications, research is very active in this field, and in the last few years, some devices have been introduced on the market. The main problem with those devices is that their operation is time-limited, so they do not match the growing demand for long monitoring, which is a must-have feature in diagnosing specific diseases. Furthermore, their versatility is hampered by the fact that they have been designed to record just one type of signal. Using ST-Qvar sensors, we acquired an electrocardiogram trace and single-channel scalp electroencephalogram from the frontal lobes, together with an electrooculogram. Excellent results from all three types of acquisition tests were obtained. The power consumption is very low, demonstrating that, thanks to the MEMS technology, a continuous acquisition is feasible for several days.

Indexed as

Micro-Electrical-Mechanical SystemsWearable Electronic DevicesElectric Power SuppliesElectrocardiographyWireless Technologyelectrostatic sensorslong time domestic monitoringlow power consumptionMEMS technologymultiple biopotentials acquisitionwearable sensors

Identifiers

PMID35408181
PMCPMC9002930
OpenAlexW4220865469

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.