Kyuichi Niizeki
Overview
Explore the profile of Kyuichi Niizeki including associated specialties, affiliations and a list of published articles.
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26
Citations
204
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Recent Articles
1.
Morokuma S, Saitoh T, Kanegae M, Motomura N, Ikeda S, Niizeki K
Sci Rep
. 2025 Jan;
15(1):999.
PMID: 39762351
We developed a deep learning-based extraction of electrocardiographic (ECG) waves from ballistocardiographic (BCG) signals and explored their use in R-R interval (RRI) estimation. Preprocessed BCG and reference ECG signals were...
2.
Morokuma S, Hayashi T, Kanegae M, Mizukami Y, Asano S, Kimura I, et al.
Sci Rep
. 2023 Oct;
13(1):17730.
PMID: 37853134
Deep learning methods have gained significant attention in sleep science. This study aimed to assess the performance of a deep learning-based sleep stage classification model constructed using fewer physiological parameters...
3.
Khandoker A, Wahbah M, Yoshida C, Kasahara Y, Funamoto K, Niizeki K, et al.
Biol Open
. 2022 Feb;
11(4).
PMID: 35188546
This study examines the role of autonomic control of maternal and fetal heart rate variability (MHRV and FHRV) and their heartbeats phase coupling prevalence (CPheartbeat) in mice. The subjects are...
4.
McDuff D, Nishidate I, Nakano K, Haneishi H, Aoki Y, Tanabe C, et al.
Sci Rep
. 2020 Jul;
10(1):10884.
PMID: 32616832
Peripheral hemodynamics, measured via the blood volume pulse and vasomotion, provide a valuable way of monitoring physiological state. Camera imaging-based systems can be used to measure these peripheral signals without...
5.
Nishidate I, Minakawa M, McDuff D, Wares M, Nakano K, Haneishi H, et al.
Biomed Opt Express
. 2020 Mar;
11(2):1073-1091.
PMID: 32133238
We propose a simple and affordable imaging technique to evaluate transcutaneously multiple physiological parameters by using a digital red-green-blue camera. In this method, the -values were converted into tristimulus values...
6.
Khandoker A, Yoshida C, Kasahara Y, Funamoto K, Nakanishi K, Fukase M, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2020 Jan;
2019:1784-1787.
PMID: 31946243
The aim of this preliminary study is to look how maternal-fetal heart rates and their coupling patterns are influenced by injection of β blocker(propranolol) into pregnant mice. Total of 6...
7.
Khandoker A, Yoshida C, Kasahara Y, Funamoto K, Nakanishi K, Fukase M, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2018 Nov;
2018:5257-5260.
PMID: 30441524
The aim of this preliminary study is to investigate if there is any evidence of maternal-fetal heart rate coupling in mice fetuses and how the coupling patterns are regulated by...
8.
Niizeki K, Saitoh T
Front Physiol
. 2018 Oct;
9:1338.
PMID: 30319446
Phase coupling of respiratory sinus arrhythmia (RSA) has been proposed to be an alternative measure for evaluating autonomic nervous system (ANS) activity. The aim of this study was to analyze...
9.
Niizeki K, Saitoh T
Physiol Behav
. 2016 Mar;
159:1-13.
PMID: 26969519
The present study analyzed whether the phase coherency (λ) of respiratory sinus arrhythmia (RSA) is altered by food ingestion in healthy young subjects. After 5min of resting control, 13 healthy...
10.
Nishidate I, Maeda T, Niizeki K, Aizu Y
Sensors (Basel)
. 2013 Jun;
13(6):7902-15.
PMID: 23783740
A multi-spectral diffuse reflectance imaging method based on a single snap shot of Red-Green-Blue images acquired with the exposure time of 65 ms (15 fps) was investigated for estimating melanin...