Evidence map›Paper›PMID 37837074›Full record

ArticleSensors (Basel, Switzerland)2023

PhysioKit: An Open-Source, Low-Cost Physiological Computing Toolkit for Single- and Multi-User Studies.

Jitesh Joshi, Katherine Wang, Youngjun Cho

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.4field-weighted citation impact, top 9% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Jitesh JoshiDepartment of Computer Science, University College London, London NW1 2AE, UK.ORCID 0000-0002-1971-2118
Katherine WangDepartment of Computer Science, University College London, London NW1 2AE, UK.ORCID 0000-0003-3254-4056
Youngjun ChoDepartment of Computer Science, University College London, London NW1 2AE, UK.ORCID 0000-0001-5695-0759
University College London · GB

Funding

UCL CS Physiological Computing Studentship N/A
6 · The paper itself

Abstract

The proliferation of physiological sensors opens new opportunities to explore interactions, conduct experiments and evaluate the user experience with continuous monitoring of bodily functions. Commercial devices, however, can be costly or limit access to raw waveform data, while low-cost sensors are efforts-intensive to setup. To address these challenges, we introduce

Indexed as

Biofeedback, PsychologySoftwareHeart RateHumansSurveys and Questionnairesbiofeedbackdata acquisition toolkitmulti-user HCI studiesphysiological computingsignal quality assessment

Identifiers

PMID37837074
PMCPMC10575364
OpenAlexW4387332486

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.