Evidence map›Paper›PMID 34833626›Full record

ArticleSensors (Basel, Switzerland)2021

A Power-Efficient Sensing Approach for Pulse Wave Palpation-Based Heart Rate Measurement.

Gabriel Bravo, Jesús M Silva, Salvador A Noriega, Erwin A Martínez, Francisco J Enríquez, Ernesto Sifuentes

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Assessment Parameters for Arrayed Pulse Wave Analysis and Application in Hypertensive Disorders.Evidence-based complementary and alternative medicine : eCAM · 2022
    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.

Gabriel BravoInstitute of Engineering and Technology, Universidad Autónoma de Ciudad Juárez (UACJ), Ciudad Juárez 32310, Mexico.
Jesús M SilvaInstitute of Engineering and Technology, Universidad Autónoma de Ciudad Juárez (UACJ), Ciudad Juárez 32310, Mexico.
Salvador A NoriegaInstitute of Engineering and Technology, Universidad Autónoma de Ciudad Juárez (UACJ), Ciudad Juárez 32310, Mexico.
Erwin A MartínezInstitute of Engineering and Technology, Universidad Autónoma de Ciudad Juárez (UACJ), Ciudad Juárez 32310, Mexico.ORCID 0000-0002-7753-2545
Francisco J EnríquezInstitute of Engineering and Technology, Universidad Autónoma de Ciudad Juárez (UACJ), Ciudad Juárez 32310, Mexico.
Ernesto SifuentesInstitute of Engineering and Technology, Universidad Autónoma de Ciudad Juárez (UACJ), Ciudad Juárez 32310, Mexico.ORCID 0000-0003-1739-3317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart rate (HR) is an essential indicator of health in the human body. It measures the number of times per minute that the heart contracts or beats. An irregular heartbeat can signify a severe health condition, so monitoring heart rate periodically can help prevent heart complications. This paper presents a novel wearable sensing approach for remote HR measurement by a compact resistance-to-microcontroller interface circuit. A heartbeat's signal can be detected by a Force Sensing Resistor (FSR) attached to the body near large arteries (such as the carotid or radial), which expand their area each time the heart expels blood to the body. Depending on how the sensor interfaces with the subject, the FSR changes its electrical resistance every time a pulse is detected. By placing the FSR in a direct interface circuit, those resistance variations can be measured directly by a microcontroller without using either analog processing stages or an analog-to-digital converter. In this kind of interface, the self-heating of the sensor is avoided, since the FSR does not require any voltage or bias current. The proposed system has a sampling rate of 50 Sa/s, and an effective resolution of 10 bits (200 mΩ), enough for obtaining well-shaped cardiac signals and heart rate estimations in real time by the microcontroller. With this approach, the implementation of wearable systems in health monitoring applications is more feasible.

Indexed as

Wearable Electronic DevicesElectric ImpedanceHeart RateHumansMonitoring, PhysiologicPalpationdirect microcontroller interface circuitforce-sensing resistorheart rate measurementresistance-to-time interface circuitwearable health monitoring

Identifiers

PMID34833626
PMCPMC8623446

What OpenQuestion holds

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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.