Zobrazeno 1 - 10
of 263
pro vyhledávání: '"Masahiko Yoshimoto"'
Publikováno v:
Healthcare Technology Letters, Vol 9, Iss 1-2, Pp 9-15 (2022)
Abstract The purpose of this study is to evaluate the effectiveness of heartbeat error and compensation methods on heart rate variability (HRV) with mobile and wearable sensor devices. The HRV analysis extracts multiple indices related to the heart a
Externí odkaz:
https://doaj.org/article/b0b24b21201e42fe8613d5d9e86ae35a
Autor:
Motofumi Nakanishi, Shintaro Izumi, Sho Nagayoshi, Hiroshi Kawaguchi, Masahiko Yoshimoto, Toshikazu Shiga, Takafumi Ando, Satoshi Nakae, Chiyoko Usui, Tomoko Aoyama, Shigeho Tanaka
Publikováno v:
BioMedical Engineering OnLine, Vol 17, Iss 1, Pp 1-18 (2018)
Abstract Background Herein, an algorithm that can be used in wearable health monitoring devices to estimate metabolic equivalents (METs) based on physical activity intensity data, particularly for certain activities in daily life that make MET estima
Externí odkaz:
https://doaj.org/article/c72dace255e5474bbabd062204b4d699
Publikováno v:
IEICE Transactions on Communications. (6):645-652
This study presents a method for improving the heartbeat interval accuracy of photoplethysmographic (PPG) sensors at ultra-low sampling rates. Although sampling rate reduction can extend battery life, it increases the sampling error and degrades the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19d6862454738d6476307fcd63562e2c
https://hdl.handle.net/20.500.14094/90007349
https://hdl.handle.net/20.500.14094/90007349
Autor:
Motoshi Kojima, Daisuke Watanabe, Hiroshi Kawaguchi, Shintaro Izumi, Masakazu Taichi, Toshio Goto, Reiya Kawamoto, Masaya Kabuto, Masahiko Yoshimoto, Go Matsukawa
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 14:634-645
For automated driving cars, we present a 40-nm dedicated object detection processor with only three operations: 3 × 3 convolution, 1 × 1 convolution, and 4 × 4 deconvolution. Multi-scale object detection at high recognition accuracy is possible by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e77ee3bea707f2c1c7fa0c4f86767b8a
https://doi.org/10.1109/jstsp.2020.2966331
https://doi.org/10.1109/jstsp.2020.2966331
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems. 13(6):1552-1562
This study designs a low-power photoplethysmography (PPG) sensor based on the error compensation method for heartbeat interval acquisition. To perform heartbeat monitoring in daily life, it is necessary to obtain long-term and accurate heartbeat inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fbf7a34a01d53d5021dd5d9637226be
http://www.lib.kobe-u.ac.jp/handle_kernel/90008232
http://www.lib.kobe-u.ac.jp/handle_kernel/90008232
Publikováno v:
Healthcare technology letters. 9(1-2)
The purpose of this study is to evaluate the effectiveness of heartbeat error and compensation methods on heart rate variability (HRV) with mobile and wearable sensor devices. The HRV analysis extracts multiple indices related to the heart and autono
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6bbefbef482b40d607651a08d4aefbd
https://pubmed.ncbi.nlm.nih.gov/35340403
https://pubmed.ncbi.nlm.nih.gov/35340403
Autor:
Koichi Kajihara, Seiya Yoshida, Masahiko Yoshimoto, Hiroshi Kawaguchi, Shintaro Izumi, Yuji Yano
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 66:3896-3905
This paper presents an energy-efficient spectral analysis method for the Internet of Things (IoT). The objective of this paper is to reduce the energy consumption of edge devices. The proposed method uses an autoregressive (AR) model for spectral ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c29e4f63cf18b32da965f5d9ae2b959e
https://doi.org/10.1109/tcsi.2019.2922990
https://doi.org/10.1109/tcsi.2019.2922990
Publikováno v:
SiPS
This report describes a multimodal cardiovascular information measurement method using a wearable sensor device. With the progress of aging populations worldwide, cardiovascular diseases are increasing. Such diseases account for a large share of caus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbafd55cd596da76ec94eebd75580ffb
http://www.lib.kobe-u.ac.jp/handle_kernel/90006467
http://www.lib.kobe-u.ac.jp/handle_kernel/90006467
Publikováno v:
IEICE Transactions on Communications. :1088-1096
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa405bc2ed4acbd38692fb6ea2ce38fc
https://doi.org/10.1587/transcom.2018hmp0007
https://doi.org/10.1587/transcom.2018hmp0007
Autor:
Shintaro Izumi, Masahiko Yoshimoto
Publikováno v:
IEICE Transactions on Electronics. :245-259
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06f6f00e5f151ddc23ce12922191497f
https://doi.org/10.1587/transele.2018cdi0001
https://doi.org/10.1587/transele.2018cdi0001