Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
EST, MW, EMT, OPE, MWPTHz, IEE-EMT [detail] |
2023-07-20 13:00 |
Hokkaido |
Muroran Institute of Technology (Primary: On-site, Secondary: Online) |
Numerical Evaluation of Electrocardiograms due to Variation of Morphology and Electrode Position Kazuki Hebiguchi, Sachiko Kodera, Akimasa Kodera (NITech) EMT2023-15 MW2023-33 OPE2023-15 EST2023-15 MWPTHz2023-11 |
Recent advance of a wearable device includes the bipolar electrocardiograph, which consists of two electrodes attached t... [more] |
EMT2023-15 MW2023-33 OPE2023-15 EST2023-15 MWPTHz2023-11 pp.32-37 |
SeMI, RCS, RCC, NS, SR (Joint) |
2023-07-13 13:50 |
Osaka |
Osaka University Nakanoshima Center + Online (Primary: On-site, Secondary: Online) |
A GAN-Based Data Augmentation Approach to Improve Heart Rate Range Classification via Doppler Radar Danyuan Yu, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.) SeMI2023-31 |
In this work, a novel data augmentation framework is proposed for improving heart rate (HR) range classification using D... [more] |
SeMI2023-31 pp.46-51 |
MBE, NC (Joint) |
2022-03-04 09:30 |
Online |
Online |
Classification and discriminability of heart rate variability indices in monkeys and humans using machine learning Itaru Kaneko, Daisuke Hirahara (Tohoku Univ.), Junichiro Hayano (Nagoya City Univ.), Emi Yuda (Tohoku Univ.) MBE2021-100 |
In the field of biometrics, the use of physical characteristics to identify individuals has become a familiar technology... [more] |
MBE2021-100 p.55 |
EA, SIP, SP, IPSJ-SLP [detail] |
2022-03-02 15:35 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Effective Features for Detecting Abnormal Braking from Electroencephalogram and Electrocardiogram during Automatic Driving Erika Sekiguchi, Toshihisa Tanaka (TUAT), Ken Kubota (JATCO Engineering), Shun Nakamura (CorLab), Kenichi Makita (JATCO) EA2021-94 SIP2021-121 SP2021-79 |
Although automated driving technology is advancing rapidly, the main objective of the development is to ensure safety. H... [more] |
EA2021-94 SIP2021-121 SP2021-79 pp.189-194 |
EST |
2022-01-27 14:00 |
Online |
Online |
Localization of Cardiac Source with Lead Field Matrix for Premature Ventricular Contraction Yuki Nakano, Akimasa Hirata (NITech) EST2021-66 |
12-lead electrocardiogram (ECG) was invented more than 100 years ago, and is still used as an essential tool to detect e... [more] |
EST2021-66 pp.47-50 |
EST |
2022-01-27 15:30 |
Online |
Online |
Evaluation of ECG Waveform by Individual Differences Based on Electric Field Analysis Kiyoto Sanjo, Akimasa Hirata (NITech) EST2021-70 |
In ECG measurement using wearable devices, a reduction of the number of electrodes is desirable for portability and pati... [more] |
EST2021-70 pp.63-68 |
EST |
2021-01-21 10:25 |
Online |
Online |
Localization of Cardiac Source with Lead Field Matrix with Kalman Filtering Yuki Nakano, Akimasa Hirata (NITech) EST2020-55 |
A 12-lead electrocardiogram (ECG) was invented more than 100 years ago, and is still used as an essential tool to detect... [more] |
EST2020-55 pp.12-15 |
EST |
2020-01-30 14:00 |
Oita |
Beppu International Convention Center |
Estimation method for the direction of cardiac source by lead field matrix Tatsuhito Nakane, Takahiro Ito, Akimasa Hirata (NITech) EST2019-85 |
A 12-lead electrocardiogram (ECG) was invented more than 100 years ago, and they are still used as an essential tool to ... [more] |
EST2019-85 pp.37-40 |
EMT, IEE-EMT |
2019-11-08 14:05 |
Saga |
Hotel Syunkeiya |
Localization of Cardiac Source with Lead Field Matrix by Ensemble Learning Tatsuhito Nakane, Takahiro Ito, Akimasa Hirata (NITech) EMT2019-69 |
An 12-lead electrocardiogram (ECG) were invented more than 100 years ago, and they are still used as an essential tool t... [more] |
EMT2019-69 pp.213-216 |
MW, EST, OPE, MWP, EMT, IEE-EMT, THz [detail] |
2019-07-19 10:00 |
Hokkaido |
Hakodate City Central Library |
A Study on Development of Phantom for Pseudo-Electrocardiogram Tatsuhito Nakane, Shiho Sakamoto, Takahiro Ito (NITech), Nobuaki Matsuura, Hiroyoshi Togo (NTT), Akimasa Hirata (NITech) EMT2019-33 MW2019-46 OPE2019-37 EST2019-35 MWP2019-33 |
In recent years, many wearable devices have been developed for the purpose of health management in daily life according ... [more] |
EMT2019-33 MW2019-46 OPE2019-37 EST2019-35 MWP2019-33 pp.155-160 |
MBE, BioX |
2018-07-27 09:30 |
Tottori |
|
Biometric authentication using a part of ECG waveform Yuki Hayashi, Hiroyuki Yoshimura (Chiba Univ.) BioX2018-12 MBE2018-20 |
The Electrocardiogram (ECG) waveform doesn’t change the characteristics even though we get older and there is little fea... [more] |
BioX2018-12 MBE2018-20 pp.27-32 |
EST |
2018-05-18 13:05 |
Tokyo |
Kikai-Shinko-Kaikan Bldg., 6F Room 6-65 |
A study on development of electrocardiogram generation model with small electric dipoles Tatsuhito Nakane, Takahiro Ito, Akimasa Hirata (NITech) EST2018-1 |
In recent years, because of the improvement of computer, mathematical modeling of detailed cardiac function became possi... [more] |
EST2018-1 pp.1-6 |
MBE, NC, NLP (Joint) |
2018-01-26 16:30 |
Fukuoka |
Kyushu Institute of Technology |
Development of the detection algorithm of R-peak and PVC-beat in ECG based on multiple automata recognizers David Pang, Tomohiko Igasaki (Kumamoto Univ.) MBE2017-68 |
e have been developing the detection algorithm of R peaks in electrocardiogram based on automata. However, there are lim... [more] |
MBE2017-68 pp.13-17 |
SP, SIP, EA |
2017-03-01 12:40 |
Okinawa |
Okinawa Industry Support Center |
[Poster Presentation]
Feature analysis of electrocardiogram based on non-orthogonal wavelet expansions Suehiro Shimauchi, Kana Eguchi, Toki Takeda, Ryosuke Aoki (NTT) EA2016-88 SIP2016-143 SP2016-83 |
A feature analysis method for electrocardiogram (ECG) that is obtained mainly from a wearable ECG sensor is proposed, wh... [more] |
EA2016-88 SIP2016-143 SP2016-83 pp.37-42 |
PRMU, IPSJ-CVIM, MVE [detail] |
2017-01-19 18:35 |
Kyoto |
|
Reliability Evaluation of R-R Interval Measurement Status using the Electric Potential Characteristics of QRS Complex for Wearable ECG Devices Kana Eguchi, Ryosuke Aoki, Kazuhiro Yoshida, Tomohiro Yamada (NTT) PRMU2016-140 MVE2016-31 |
Electrocardiogram (ECG) captured by wearable ECG devices easily contains artifact because of the measurement faults. Sin... [more] |
PRMU2016-140 MVE2016-31 pp.171-176 |
EMCJ, IEE-EMC |
2016-12-16 13:25 |
Aichi |
Nagoya Institute of Technology |
Study of Common Mode Noise Cancellation Circuit with Photo-Resistor for Wearable ECG Mutsumi Noro, Daisuke Anzai, Jianqing Wang (NIT) EMCJ2016-103 |
Wearable electrocardiogram (ECG) is attracting much attention for monitoring heart diseases in healthcare and medical ap... [more] |
EMCJ2016-103 pp.21-24 |
SIS |
2016-03-10 11:30 |
Tokyo |
Tokyo City Univ. |
Arrhythmia Detection based on deformable model of ECG Yuuka Hirao, Jaehoon Yu, Yoshinori Takeuchi, Masaharu Imai (Osaka Univ.) SIS2015-52 |
In treatment for heart disease, it is important to detect arrhythmia in early stage. For this purpose,
it is necessary ... [more] |
SIS2015-52 pp.25-30 |
MoNA, ASN, IPSJ-MBL, IPSJ-UBI (Joint) [detail] |
2015-03-02 11:00 |
Tokyo |
Shibaura Institute of Technology(Toyosu Campus) |
Cloud-based ECG Monitoring System for Mobile Users Mohamad Sabri Bin Sinal, Eiji Kamioka (SIT) MoNA2014-94 |
Nowadays, new wireless technologies have been well-established and high capabilities of wearable biomedical sensor devic... [more] |
MoNA2014-94 pp.43-48 |
MBE |
2015-01-22 10:50 |
Kumamoto |
Kumamoto University |
Comparison of frequency analysis method for autonomic rhythms based on ECG signal Kenta Mori, Shyuya Kawasaki, Makoto Maeda, Katsuhiro Inoue (Kyushu Inst. Tech) MBE2014-94 |
Studies for analyzing the fluctuations in RR interval which is an interval of R-wave in the electrocardiogram (ECG) sign... [more] |
MBE2014-94 pp.9-12 |
EMCJ |
2014-07-10 14:20 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Reliability Evaluation of ECG Signal Transmitted by IR-Based Human Body Communication Taku Kato, Jun Sakuma, Daisuke Anzai, Jianqing Wang (Nagoya Inst. of Tech.) EMCJ2014-20 |
Real-time vital data monitoring system for driver’s health condition attracts much attention in intelligent transportati... [more] |
EMCJ2014-20 pp.19-24 |