Evidence map›Paper›PMID 40830673›Full record

ArticleMikrochimica acta2025

A wearable multi-parameter electrochemical detection and signal processing system for real-time sweat analysis.

Guodong Liu, Heng Wang, Pingna Zhang, Yuxuan Liu, Qifeng Tan, Xin Jin, Chaojiang Li

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Guodong LiuSchool of Mechanical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, 100081, China.
Heng WangSchool of Mechanical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, 100081, China.
Pingna ZhangBeijing Hospital of Traditional Chinese Medicine , Affiliated to Capital Medical University, Beijing, China.
Yuxuan LiuSchool of Mechanical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, 100081, China.
Qifeng TanSchool of Mechanical Engineering, Jiangsu University of Technology, 213001, Zhongwu Avenue, Changzhou, China.
Xin JinSchool of Mechanical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, 100081, China.
Chaojiang LiSchool of Mechanical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, 100081, China. mecjli@bit.edu.cn.

Funding

National Natural Science Foundation of China 52205439National Natural Science Foundation of China 52375402Natural Science Foundation of Beijing Municipality L223016
6 · The paper itself

Abstract

This study presents a wearable multi-parameter electrochemical detection system (WMEDS) designed for the simultaneous monitoring of sweat biomarkers. The system integrates a microcontroller, a dual-mode signal acquisition circuit, and a low-power Bluetooth module. To address the non-stationary electrochemical signals, a preprocessing approach combining Savitzky-Golay filtering with Z-score-difference detection is employed. The core algorithm incorporates wavelet hierarchical threshold denoising, which improves the average signal-to-noise ratio by 12 dB. This signal processing method effectively suppresses noise while preserving key signal features (peak retention rate of 97.3%), resulting in a smoothness index exceeding 0.99, and the root mean square remains below ± 0.5%. The efficacy of the WMEDS is demonstrated in Ca

Indexed as

Electrochemical TechniquesSignal Processing, Computer-AssistedSweatWearable Electronic DevicesAlgorithmsBiosensing TechniquesCalciumGlucoseHumansCalciumGlucoseCa determinationGlucose determinationMicrofluidic electrochemical sensorWavelet analysisWearable electrochemical detection

Identifiers

PMID40830673

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.