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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 27  /  [Next]  
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, MICT, IEE-MBE [detail] 2023-01-17
15:30
Saga   Evaluation of Immunity against Electrostatic Artifact on Capacitive Electrocardiogram Measured through Clothing -- Examination Using Low-Birth-Weight Infant Model --
Tsukasa Aihara, Akinori Ueno (Tokyo Denki Univ.) MICT2022-53 MBE2022-53
In capacitive electrocardiogram (cECG) measurement, contamination of transient electrostatic artifact (TEA) is problemat... [more] MICT2022-53 MBE2022-53
pp.41-45
SR 2022-11-07
14:15
Fukuoka Fukuoka University
(Primary: On-site, Secondary: Online)
[Invited Talk] Simultaneous Vital Sensing of Multiple People Using Millimeter Wave Radar -- Toward the realization of smart homes --
Ataru Yamaoka (S-TAKAYA) SR2022-51
The compact millimeter-wave radar has been developed for automotive forward monitoring applications and side detection a... [more] SR2022-51
pp.30-37
SR 2022-11-07
15:30
Fukuoka Fukuoka University
(Primary: On-site, Secondary: Online)
[Technology Exhibit] Application examples of millimeter wave radar
Ataru Yamaoka, Hiromasa Watanabe (S-takaya) SR2022-52
Non-contact vital sensing is an application example of millimeter-wave radar. This is a technology realized by measuring... [more] SR2022-52
pp.38-40
SeMI, IPSJ-DPS, IPSJ-MBL, IPSJ-ITS 2022-05-26
13:45
Okinawa
(Primary: On-site, Secondary: Online)
Unsupervised Learning-based Non-invasive Fetal ECG Signal Quality Assessment
Xintong Shi, Kohei Yamamoto, Tomoaki Ohtsuki (Keio Univ.), Yutaka Matsui, Kazunari Owada (Atom Medical Co., Ltd.) SeMI2022-4
For fetal heart rate (FHR) monitoring, the non-invasive fetal electrocardiogram (FECG) obtained from abdomen surface ele... [more] SeMI2022-4
pp.15-19
SeMI, IPSJ-DPS, IPSJ-MBL, IPSJ-ITS 2022-05-26
14:03
Okinawa
(Primary: On-site, Secondary: Online)
Arterial Blood Pressure Estimation from Electrocardiogram Signals using U-Net
Rikuto Yoshizawa, Kohei Yamamoto, Tomoaki Ohtsuki (Keio Univ.) SeMI2022-5
Blood pressure estimation methods using electrocardiogram (ECG) signals have been recently studied for user-friendly blo... [more] SeMI2022-5
pp.20-25
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
MBE, NC
(Joint)
2022-03-04
09:55
Online Online Comparison of Heart Rate Variability Indices in Humans by Long Time Analysis of Ambulatory Cardiac Bio-signals
Emi Yuda, Yutaka Yoshida (Tohoku Univ.), Junichiro Hayano (Nagoya City Univ.), Itaru Kaneko (Tohoku Univ.) MBE2021-101
Human physiological activities are controlled by circadian rhythms, which have a period of about 24 hours. Circadian rhy... [more] MBE2021-101
p.56
RCS, SR, SRW
(Joint)
2020-03-05
09:20
Tokyo Tokyo Institute of Technology
(Cancelled but technical report was issued)
ECG Signal Wave Demodulation from Doppler Sensor Received Signal Using Bi-LSTM
Ryosuke Hiromatsu, Kohei Yamamoto, Tomoaki Ohtsuki (Keio Univ.) RCS2019-350
It is known that heart disease could be diagnosed from Electrocardiogram (ECG) signals. However, ECG measurement is a co... [more] RCS2019-350
pp.159-164
EMCJ, IEE-EMC 2020-01-24
11:20
Ehime   A Study of Circuit Configuration for Common Mode Noise Reduction in Wearable ECG
Keisuke Koike, Jianqing Wang, Daisuke Anzai (NIT) EMCJ2019-84
In recent years, along with the problems of aging population, application to the field of medical and health care of wea... [more] EMCJ2019-84
pp.17-21
EMCJ, IEE-EMC 2018-05-25
15:55
Nagano   Real Time Removal of Body Motion Noise in Wearable Electrocardiogram Signal using Stationary Wavelet Transform
Keisuke Koike, Daisuke Anzai, Jianqing Wang (Nagoya Inst. of Tech.) EMCJ2018-10
In recent years, along with the problem of aging population, application to the field of medical health care of wearable... [more] EMCJ2018-10
pp.31-36
HCS, HIP, HI-SIGCOASTER [detail] 2017-05-16
18:00
Okinawa Okinawa Industry Support Center Study on Affective Evaluation of VR System using ECG -- Evaluation of "Feeling of Excitement" during playing "Summer Lesson" --
Kodai Ito, Michiko Ohkura (Shibaura Inst. Tech.) HCS2017-26 HIP2017-26
In recent years, virtual reality (VR) technology has made remarkable progress, including the development of many devices... [more] HCS2017-26 HIP2017-26
pp.173-175
LOIS 2017-03-02
10:45
Okinawa N.Ohama Memorial Hall Biosignal based anomaly detection for daily life
Keita Hasegawa, Kudo Fumiaki, Toru Nakamura, Yukiyoshi Ota (NTT) LOIS2016-67
As a cause of stress, many incidents have occurred such as Traffic Accidents, Medical Accidents and Billing fraud. Stron... [more] LOIS2016-67
pp.29-34
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
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
ED 2014-07-10
14:00
Aichi Toyohashi Univ. of Tech. VBL [Invited Talk] Miniaturized Vital Sensing Nodes
Kazusuke Maenaka (Univ. of Hyogo) ED2014-45
This paper deals with miniaturized vital sensing nodes for keeping human health. The sensing node can be patched directl... [more] ED2014-45
pp.1-6
EMCJ 2014-04-18
15:25
Toyama Univ. Toyama Real-Time ECG Signal Transmission by Human Body Communication and Common Mode Noise Reduction in ECG Signal
Jun Sakuma, Takuya Fujiwara, Taku Kato, Daisuke Anzai, Jianqing Wang (Nagoya Inst. of Tech.) EMCJ2014-6
Real-time vital data monitoring systems for driver’s health condition have drawn considerable attention in intelligent t... [more] EMCJ2014-6
pp.31-36
IT 2011-05-20
16:15
Osaka Osaka City University Study on Vital Data Acquisition Schemes for Sports Players -- Heart Rate Measurements by Electrocardiograph, Phonocardiograph and Blood Flow Variation --
Nao Masuoka, Tetsuo Tsujioka (Osaka City Univ.) IT2011-9
Recently, in order to figure out sports player’s state, his/her supervisor/coach requests to measure sports player’s vit... [more] IT2011-9
pp.47-52
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