Evidence map›Paper›PMID 38139610›Full record

ArticleSensors (Basel, Switzerland)2023

Physical Noninvasive Attacks on Photoplethysmogram by Computer Controlled Blood Pressure Cuff.

Kazuki Yoshida, Ryota Sawano, Masahiro Okamoto, Kazuya Murao, Shuhei Tsuchida, Tsutomu Terada

Abstract 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. 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

6 authors.

Kazuki YoshidaGraduate School of Information Science and Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Shiga, Kusatsu 525-8577, Japan.ORCID 0000-0001-6410-240X
Ryota SawanoGraduate School of Information Science and Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Shiga, Kusatsu 525-8577, Japan.
Masahiro OkamotoGraduate School of Information Science and Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Shiga, Kusatsu 525-8577, Japan.
Kazuya MuraoGraduate School of Information Science and Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Shiga, Kusatsu 525-8577, Japan.ORCID 0000-0002-3777-8399
Shuhei TsuchidaCenter for Interdisciplinary AI and Data Science, Ochanomizu University, 2-1-1 Otsuka, Bunkyo-ku, Tokyo 112-8610, Japan.ORCID 0000-0003-1635-2257
Tsutomu TeradaGraduate School of Engineering, Kobe University, 1-1 Rokkodai-cho, Nada-ku, Hyogo, Kobe 657-8501, Japan.ORCID 0000-0003-2260-3788

Funding

Japan Science and Technology Agency JPMJPR1937
6 · The paper itself

Abstract

Sensor data has been used in social security and welfare infrastructures such as insurance and medical care to provide personalized products and services; there is a risk that attackers can alter sensor data to obtain unfair benefits. We consider that one of the attack methods to modify sensor data is to attack the wearer's body to modify biometric information. In this study, we propose a noninvasive attack method to modify the sensor value of a photoplethysmogram. The proposed method can disappear pulse wave peaks by pressurizing the upper arm with air pressure to control blood volume. Seven subjects experiencing a rest environment and five subjects experiencing an after-exercise environment wore five different models of smartwatches, and three pressure patterns were performed. It was confirmed in both situations that the displayed heart rate decreased from the true heart rate.

Indexed as

Blood Pressure DeterminationPhotoplethysmographyBlood PressureComputersHeart RateHumansattackcontrolheart ratemanipulationpeak disappearancepulse wavesmartwatchupper arm pressurewearable

Identifiers

PMID38139610
PMCPMC10747835

What OpenQuestion holds

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Registered trials

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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.