Evidence map›Paper›PMID 37396412›Full record

ArticleHardwareX2023

We-VoltamoStat: A wearable potentiostat for voltammetry analysis with a smartphone interface.

Nur Fatin Adini Ibrahim, Anas Mohd Noor, Norhayati Sabani, Zulkarnay Zakaria, Asnida Abdul Wahab, Asrulnizam Abd Manaf, Shazlina Johari

Abstract read
In one paragraph

Article in HardwareX, 2023. 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. Article
  2. Article
  3. 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

7 authors.

Nur Fatin Adini IbrahimFaculty of Electronic Engineering & Technology (FKTEN), Universiti Malaysia Perlis, Arau 02600, Malaysia.
Anas Mohd NoorFaculty of Electronic Engineering & Technology (FKTEN), Universiti Malaysia Perlis, Arau 02600, Malaysia.
Norhayati SabaniFaculty of Electronic Engineering & Technology (FKTEN), Universiti Malaysia Perlis, Arau 02600, Malaysia.
Zulkarnay ZakariaFaculty of Electronic Engineering & Technology (FKTEN), Universiti Malaysia Perlis, Arau 02600, Malaysia.
Asnida Abdul WahabDepartment of Biomedical Engineering and Health Sciences, Universiti Teknologi Malaysia, Johor, Bahru 81310, Malaysia.
Asrulnizam Abd ManafCollaborative Microelectronic Design Excellence Centre (CEDEC), Universiti Sains Malaysia, Bayan Lepas 11900, Malaysia.
Shazlina JohariFaculty of Electronic Engineering & Technology (FKTEN), Universiti Malaysia Perlis, Arau 02600, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable technology, such as electronic components integrated into clothing or worn as accessories, is becoming increasingly prevalent in fields like healthcare and biomedical monitoring. These devices allow for continuous monitoring of important biomarkers for medical diagnosis, monitoring of physiological health, and evaluation. However, an open-source wearable potentiostat is a relatively new technology that still faces several design limitations such as short battery lifetime, bulky size, heavy weight, and the requirement for a wire for data transmission, which affects comfortability during long periods of measurement. In this work, an open-source wearable potentiostat device named We-VoltamoStat is developed to allow interested parties to use and modify the device for creating new products, research, and teaching purposes. The proposed device includes improved and added features, such as wireless real-time signal monitoring and data collection. It also has an ultra-low power consumption battery estimated to deliver 15 mA during operating mode for 33 h and 20 min and 5 mA during standby mode for 100 h without recharging. Its convenience for wearable applications, tough design, and compact size of 67x54x38 mm make it suitable for wearable applications. Cost-effectiveness is another advantage, with a price less than 120 USD. Validation performance tests indicate that the device has good accuracy, with an R2 value of 0.99 for linear regression of test accuracy on milli-, micro-, and nano-Ampere detection. In the future, it is recommended to improve the design and add more features to the device, including new applications for wearable potentiostats.

Indexed as

PotentiostatVoltammetryWearable deviceWearable electrochemical sensing

Identifiers

PMID37396412
PMCPMC10314292

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.