Evidence map›Paper›PMID 42631532›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Wearable Morphology-Adaptive in-Ear Device With Active Cleansing Capability for Multimodal Health Monitoring.

Shuyun Zhuo, Zihuan Wu, Anan Zhang, Shideh Kabiri Ameri

Abstract read
PubMed Publisher
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Shuyun ZhuoDepartment of Electrical and Computer Engineering, Queen's University Kingston, Kingston, Canada.ORCID https://orcid.org/0000-0002-0452-9935
Zihuan WuDepartment of Electrical and Computer Engineering, Queen's University Kingston, Kingston, Canada.ORCID https://orcid.org/0009-0001-2178-265X
Anan ZhangDepartment of Electrical and Computer Engineering, Queen's University Kingston, Kingston, Canada.
Shideh Kabiri AmeriDepartment of Electrical and Computer Engineering, Queen's University Kingston, Kingston, Canada.ORCID https://orcid.org/0000-0001-6931-3011

Funding

Canada Foundation for Innovation 40336National Natural Science Foundation of China 22595424NSERC Alliance Missions ALLRP 570743-2021
6 · The paper itself

Abstract

Multimodal physiological monitoring using in-ear devices is an excellent solution for nonintrusive and noninvasive health monitoring. However, the small size of the ear canal, variation in its morphology in different individuals, and ear wax introduce challenges such as a non-conformal interface between the sensors and the skin due to the complex ear canal geometry, device fitting issues, biofouling blockage layers, hearing blockage by the device and discomfort. Here, we report a multimodal self-cleansing, in-ear nonintrusive and configurable electronic (SCIENCE) device which adapts to various canal geometries and performs active wax cleaning at the sensor-canal interfaces. Triggered by immersing the sensor in water, the small cylindrical device with a diameter of 2 mm expands once in the ear, and it converts to a spindle shape with a center diameter that can reach 9 mm, thus leading to adaptive contact with the ear canal and forming a stable sensor-canal interface. The proposed in-ear device was also endowed with wax cleaning capability to automatically break the biofouling barrier and decrease the sensor-skin interface impedance by 20%. SCIENCE is integrated with miniaturized circuits and enables simultaneous mobile and wireless recording of electroencephalography (EEG), electrocardiography (ECG), and core body temperature.

Indexed as

Wearable Electronic DevicesEar CanalElectric ImpedanceEquipment DesignHumansMonitoring, PhysiologicWaxesWaxesacousticsear canalelectrical impedanceelectronic circuitwaxwearable computerwireless

Identifiers

PMID42631532

What OpenQuestion holds

Textmetadata
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.