Evidence map›Paper›PMID 42032139›Full record

Reviewnpj biomedical innovations2026

Towards bioelectric signal-enabled human healthcare monitoring: state-of-the-art, design strategies, challenge, and future.

Zhengying Lou, Ruibo Wang, Baha Eddine Youcef Belmekki, Mohamed-Slim Alouini

Abstract readReview
In one paragraph

Review in npj biomedical innovations, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Zhengying LouDepartment of Electrical and Computer Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Ruibo WangDepartment of Electrical and Computer Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia. ruibo.wang@kaust.edu.sa.
Baha Eddine Youcef BelmekkiSchool of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom.
Mohamed-Slim AlouiniDepartment of Electrical and Computer Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioelectric signals play a vital role in human healthcare monitoring. This review examines front-end circuits and systems for acquiring electroencephalogram (EEG), electrocorticogram (ECoG), electrocardiogram (ECG), electrooculogram (EOG), and electromyogram (EMG) signals, highlighting key design considerations and challenges. This work further surveys related state-of-the-art biosensors, commercial components, and wearable consumer products, and offers insights into emerging research directions in biosensor circuit design for next-generation healthcare applications.

Identifiers

PMID42032139
PMCPMC13055061

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.