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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 16 of 16  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
EMCJ, MICT
(Joint)
2024-03-15
10:05
Shimane   Estimation of Heartbeat Intervals for Multiple Individuals using Non-contact Multimodal Sensors Utilizing Radio Waves and Acceleration
Saki Wada, Hidetoshi Makimura, Kengo Nishimoto, Yoshio Inasawa (MELCO), Shintaro Izumi (Kobe Univ.) MICT2023-77
One method for non-contact acquisition of heart rate variability involves the use of radio wave sensors. In this paper, ... [more] MICT2023-77
pp.1-5
EST 2022-01-28
11:20
Online Online Non-contact Heart Rate Measurement Using Millimeter-wave Array Radar and Principal Component Analysis of Phase Sequence
Itsuki Iwata, Takato Koda, Takuya Sakamoto (Kyoto Univ.) EST2021-84
In this study, we develop a novel method for the noncontact measurement of human heartbeat using ultra-wideband millimet... [more] EST2021-84
pp.136-139
MBE 2019-02-01
10:00
Saga Saga University Accuracy Evaluation of Heart Rate Variability Indices in Heartbeat Measurement Using Piezoelectric Sensor
Shinichiro Kuroki, Manami Wakuya, Tomohiko Igasaki (Kumamoto Univ.) MBE2018-73
Recently, the importance of health monitoring in life has been increasing with the aim of early detection and early trea... [more] MBE2018-73
pp.79-83
ASN, SRW
(Joint)
2018-11-06
15:45
Tokyo Tokyo Denki University, Tokyo Senju Campus Accurate Doppler Sensor-based Heartbeat Estimation by Reducing Body Movement Noise via CA-CFAR Applying Adaptive Guard Cell Length Approach
Ryosuke Hiromatsu, Tomoaki Ohtsuki, Kentaroh Toyoda, Kohei Yamamoto (Keio Univ.) ASN2018-77
It is known that stress can be estimated by measuring heartbeat interval variation. Thus, many methods of non-contact he... [more] ASN2018-77
pp.131-136
RCC, MICT 2018-05-25
14:20
Tokyo Tokyo Big Sight Learning and recognition with neural network of heart beats sensed by WBAN for stress estimate for rehabilitation
Yukihiro Kinjo, Yoshitomo Sakuma, Ryuji Kohno (YNU) RCC2018-21 MICT2018-21
In rehabilitation, approach according to personality is important.
So we estimate patients' emotion by neural network(N... [more]
RCC2018-21 MICT2018-21
pp.101-104
MBE, NC
(Joint)
2018-03-13
10:25
Tokyo Kikai-Shinko-Kaikan Bldg. Estimation of sleep position change and sleep stages using sheet-type vibration sensors
Megumi Nakamura, Shion Yamagata, Takamasa Yoshida, Nobuyuki Terada (Toyo Univ.) MBE2017-90
To easily estimate sleep position change and sleep stages on the bed, we measured physical vibrations using sheet-type v... [more] MBE2017-90
pp.57-60
MBE 2017-01-28
13:25
Fukuoka Kyushu University Measurement of the heartbeat information using piezoelectric sensor array -- Investigation of the noise removal caused by the body movement --
Shogo Shimai, Tomohiko Igasaki, Makiko Kobayashi (Kumamoto Univ.) MBE2016-79
We have been studying equipment to acquire cardiorespiratory information at home easily by piezoelectric sensors arrangi... [more] MBE2016-79
pp.53-56
MBE 2017-01-28
14:35
Fukuoka Kyushu University Coding mechanisms underlying the genesis of the cardiac rhythm
Fausto Lucena (CEUMA), Allan Kardec Barros (Maranhao U.), Noboru Ohnishi (Nagoya U.) MBE2016-81
Muchisknownaboutthekeyroleoftheautonomiccardiacregulationincontrollingthecardiacrhythm. Yet, the promoting mechanisms un... [more] MBE2016-81
pp.63-68
RCS, RCC, ASN, NS, SR
(Joint)
2016-07-22
09:50
Aichi   Heartbeat Detection Using Viterbi Algorithm with Doppler Radar
Eriko Mogi, Tomoaki Ohtsuki (Keio Univ.) ASN2016-41
Non-contact heartbeat detection using Doppler radar has been studied in many works. The R-R intervals that represents t... [more] ASN2016-41
pp.85-89
MICT, ASN, MoNA
(Joint)
2016-01-29
09:00
Kanagawa Hotel Okada Heartbeat Detection with Doppler Radar Based on Estimation of Average R-R Interval Using Viterbi Algorithm
Eriko Mogi, Tomoaki Ohtsuki (Keio Univ.) ASN2015-91
A variation of R-R interval (a peak-to-peak interval of heartbeats) reflects mental stress. For measuring heart rate, no... [more] ASN2015-91
pp.69-74
MBE 2016-01-21
16:40
Kagoshima Kagoshima University Study on the measurement of the cardiorespiratory information using a piezoelectric sensor array -- Development of automatic decision method of cardiorespiratory component by the independent component analysis --
Shogo Shimai, Tomohiko Igasaki, Nobuki Murayama, Makiko Kobayashi (Kumamoto Univ) MBE2015-99
We have been studying an equipment to acquire cardiorespiratory information at home easily by piezoelectric sensors arra... [more] MBE2015-99
pp.83-86
RCC, ASN, RCS, NS, SR
(Joint)
2015-07-31
09:25
Nagano JA Naganoken Bldg. Heartbeat Detection with Doppler Sensor Using Adaptive Scale Factor Selection on Learning
Eriko Mogi, Tomoaki Ohtsuki (Keio Univ.) ASN2015-52
Heart rate variability gives information about health and mental condition. Noncontact detection of heartbeat using Dopp... [more] ASN2015-52
pp.183-188
RCS, SR, SRW
(Joint)
2014-03-05
09:45
Tokyo Waseda Univ. Heartbeat Detection by Using Doppler Radar with Wavelet Transform Based on Scale Factor Learning
Shoichiro Tomii, Tomoaki Ohtsuki (Keio Univ.) RCS2013-375
Recently, biological sensing by using Doppler radar has been studied in many research institutions. Doppler radar is a u... [more] RCS2013-375
pp.419-424
ICD 2014-01-28
15:00
Kyoto Kyoto Univ. Tokeidai Kinenkan [Poster Presentation] Electrocardiogram analytical technique for wearable living body sensors wearable biomedical sensor
Yozaburo Nakai, Shintaro Izumi, Masanao Nakano, Ken Yamashita, Takahide Fujii, Hiroshi Kawaguchi, Masahiko Yoshimoto (Kobe Univ.) ICD2013-126
This report describes a robust method of Instantaneous Heart Rate (IHR) detection from noisy electrocardiogram (ECG) sig... [more] ICD2013-126
p.61
MBE, NC
(Joint)
2012-03-15
15:35
Tokyo Tamagawa University Heart Rate Variability Estimation with the Elimination of Abnormal Heartbeats Based on the Principle of Frequency Modulation and Demodulation
Yoko Kawamura, Yasunari Yokota, Shota Kishino (Gifu Univ.), Naoki Matsumaru, Kunihiro Shirai (Gifu Univ. Hospital) MBE2011-132
Heart rate variability (HRV) has been recognized as a measurement of activity of autonomous nervous system, and possibil... [more] MBE2011-132
pp.133-138
NC, MBE
(Joint)
2011-03-07
16:00
Tokyo Tamagawa University Emergence of Autonomic Transfer Proprieties by Learning Efficient Codes from Heartbeat Intervals
Fausto Lucena (Nagoya Univ.), Allan Kardec Barros (Federal Univ. Of Maranhao), Noboru Ohnishi (Nagoya Univ.) NC2010-153
We present a generative model of the heartbeat intervals that captures the variations underlying the cardiac rhythm. Und... [more] NC2010-153
pp.153-158
 Results 1 - 16 of 16  /   
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