Evidence map›Paper›PMID 30334773›Full record

ArticleIEEE journal of biomedical and health informatics2019

Technology Development for Simultaneous Wearable Monitoring of Cerebral Hemodynamics and Blood Pressure.

Quan Zhang, Ning Zhang, Lei Kang, Gang Hu, Xiangguo Yan, Xiaorong Ding, Qizhi Fu, Yuan-Ting Zhang, Ni Zhao, Junfeng Gao and 1 more

Open access · greenAbstract read
In one paragraph

Article in IEEE journal of biomedical and health informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Wearable Wireless Body Area Networks for Medical Applications.Computational and mathematical methods in medicine · 2021
    Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

11 authors at 6 institutions in 3 countries.

Quan Zhang
Ning Zhang
Lei Kang
Gang Hu
Xiangguo Yan
Xiaorong Ding
Qizhi Fu
Yuan-Ting Zhang
Ni Zhao
Junfeng Gao
Gary E Strangman
Harvard University · USChinese University of Hong Kong · HKCity University of Hong Kong · HKFirst Affiliated Hospital of Henan University of Science and Technology · CNSouth Central Minzu University · CNXi'an Jiaotong University · CN

Funding

Improving Calibration of Wearable Blood Pressure MonitoringR21EB022271 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ZHANG, QUAN · 2017 to 2018
$451k
NIBIB NIH HHS R21 EB022271
6 · The paper itself

Abstract

For many cerebrovascular diseases both blood pressure (BP) and hemodynamic changes are important clinical variables. In this paper, we describe the development of a novel approach to noninvasively and simultaneously monitor cerebral hemodynamics, BP, and other important parameters at high temporal resolution (250 Hz sampling rate). In this approach, cerebral hemodynamics are acquired using near infrared spectroscopy based sensors and algorithms, whereas continuous BP is acquired by superficial temporal artery tonometry with pulse transit time based drift correction. The sensors, monitoring system, and data analysis algorithms used in the prototype for this approach are reported in detail in this paper. Preliminary performance tests demonstrated that we were able to simultaneously and noninvasively record and reveal cerebral hemodynamics and BP during people's daily activity. As examples, we report dynamic cerebral hemodynamic and BP fluctuations during postural changes and micturition. These preliminary results demonstrate the feasibility of our approach, and its unique power in catching hemodynamics and BP fluctuations during transient symptoms (such as syncope) and revealing the dynamic features of related events.

Indexed as

Wearable Electronic DevicesAccelerometryAdultAlgorithmsBlood PressureBlood Pressure DeterminationCerebrovascular CirculationElectrocardiographyEquipment DesignEyeglassesHeart RateHumansMaleSignal Processing, Computer-AssistedSpectroscopy, Near-Infrared

Identifiers

PMID30334773
PMCPMC8571987
OpenAlexW2895909417

What OpenQuestion holds

Textmetadata
LicenceTDM
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.