Evidence map›Paper›PMID 35711674›Full record

ArticleMicrosystems & nanoengineering2022

MEMS ultrasonic transducers for safe, low-power and portable eye-blinking monitoring.

Sheng Sun, Jianyuan Wang, Menglun Zhang, Yuan Ning, Dong Ma, Yi Yuan, Pengfei Niu, Zhicong Rong, Zhuochen Wang, Wei Pang

Open access · goldAbstract read
In one paragraph

Article in Microsystems & nanoengineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Emerging Wearable Ultrasound Technology.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Review
  7. Article
  8. Thin-film PMUTs: a review of over 40 years of research.Microsystems & nanoengineering · 2023
    Review
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

10 authors at 2 institutions in 2 countries.

Sheng SunState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.
Jianyuan WangState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.ORCID 0000-0002-5115-6895
Menglun ZhangState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.
Yuan NingState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.
Dong MaDepartment of Computer Science and Technology, University of Cambridge, Cambridge, UK.
Yi YuanState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.
Pengfei NiuState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.
Zhicong RongState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.
Zhuochen WangState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.
Wei PangState Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.
Tianjin University · CNUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eye blinking is closely related to human physiology and psychology. It is an effective method of communication among people and can be used in human-machine interactions. Existing blink monitoring methods include video-oculography, electro-oculograms and infrared oculography. However, these methods suffer from uncomfortable use, safety risks, limited reliability in strong light or dark environments, and infringed informational security. In this paper, we propose an ultrasound-based portable approach for eye-blinking activity monitoring. Low-power pulse-echo ultrasound featuring biosafety is transmitted and received by microelectromechanical system (MEMS) ultrasonic transducers seamlessly integrated on glasses. The size, weight and power consumption of the transducers are 2.5 mm by 2.5 mm, 23.3 mg and 71 μW, respectively, which provides better portability than conventional methods using wearable devices. Eye-blinking activities were characterized by open and closed eye states and validated by experiments on different volunteers. Finally, real-time eye-blinking monitoring was successfully demonstrated with a response time less than 1 ms. The proposed solution paves the way for ultrasound-based wearable eye-blinking monitoring and offers miniaturization, light weight, low power consumption, high informational security and biosafety.

Indexed as

Electrical and electronic engineeringEnvironmental, health and safety issues

Identifiers

PMID35711674
PMCPMC9192761
OpenAlexW4282822392

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.