Evidence map›Paper›PMID 29872656›Full record

ArticleFrontiers in bioengineering and biotechnology2018

Development and Clinical Application of a Novel Autonomic Transient Response-Based Screening System for Major Depressive Disorder Using a Fingertip Photoplethysmographic Sensor.

Sumiyakhand Dagdanpurev, Guanghao Sun, Toshikazu Shinba, Mai Kobayashi, Nobutoshi Kariya, Lodoiravsal Choimaa, Suvdaa Batsuuri, Seokjin Kim, Satoshi Suzuki, Takemi Matsui

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. The 2023 wearable photoplethysmography roadmap.Physiological measurement · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
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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

10 authors.

Sumiyakhand DagdanpurevGraduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan.
Guanghao SunGraduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan.
Toshikazu ShinbaDepartment of Psychiatry, Shizuoka Saiseikai General Hospital, Shizuoka, Japan.
Mai KobayashiGraduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan.
Nobutoshi KariyaMaynds Tower Mental Clinic, Tokyo, Japan.
Lodoiravsal ChoimaaMachine Intelligence Laboratory, School of Engineering and Applied Sciences, National University of Mongolia, Ulaanbaatar, Mongolia.
Suvdaa BatsuuriMachine Intelligence Laboratory, School of Engineering and Applied Sciences, National University of Mongolia, Ulaanbaatar, Mongolia.
Seokjin KimGraduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan.
Satoshi SuzukiDepartment of Mechanical Engineering, Kansai University, Osaka, Japan.
Takemi MatsuiGraduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over 350 million people across the world suffer from major depressive disorder (MDD). More than 10% of MDD patients have suicide intent, while it has been reported that more than 40% patients did not consult their doctors for MDD. In order to increase consultation rate of potential MDD patients, we developed a novel MDD screening system which can be used at home without help of health-care professionals. Using a fingertip photoplethysmograph (PPG) sensor as a substitute of electrocardiograph (ECG), the system discriminates MDD patients from healthy subjects using autonomic nerve transient responses induced by a mental task (random number generation) via logistic regression analysis. The nine logistic regression variables are averages of heart rate (HR), high frequency (HF) component of heart rate variability (HRV), and the low frequency (LF)/HF ratio of HRV before, during, and after the mental task. We conducted a clinical test of the proposed system. Participants were 6 MDD patients (4 females and 2 males, aged 23-60 years) from Shizuoka Saiseikai General Hospital psychiatry outpatient unit and 14 healthy volunteers from University of Electro-Communications (6 females and 8 males, aged 21-63 years). The average PPG- and ECG (as a reference)-derived HR, HF and LF/HF were significantly correlated with each other (HR;

Indexed as

heart rate variabilitylogistic regression analysismajor depressive disordermental taskphotoplethysmographic sensortransient autonomic responses

Identifiers

PMID29872656
PMCPMC5972319

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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.