Results 121 to 130 of about 2,495 (187)

A ballistocardiogram dataset with reference ECG signals for bed-based heart rhythm assessment. [PDF]

Sci Data
Qiu J, Lyu T, Liu L, Cheng J, Lu P, Zhang B, Shen G.   +6 more
europepmc   +1 more source

Unobtrusive Bed Monitor State of the Art. [PDF]

Sensors (Basel)
Tamura T, Huang M.
europepmc   +1 more source

[Normal ballistocardiogram].

Cardiologia, 2003
J Y, PROBST, A, DELACHAUX, J L, SCHELLING   +2 more
openaire   +3 more sources

Building Digital Twins for Cardiovascular Health: From Principles to Clinical Impact. [PDF]

J Am Heart Assoc
Sel K, Osman D, Zare F, Masoumi Shahrbabak S, Brattain L, Hahn JO, Inan OT, Mukkamala R, Palmer J, Paydarfar D, Pettigrew RI, Quyyumi AA, Telfer B, Jafari R.   +13 more
europepmc   +1 more source

Flexible Sensors Array Based on Frosted Microstructured Ecoflex Film and TPU Nanofibers for Epidermal Pulse Wave Monitoring. [PDF]

Sensors (Basel), 2023
Wang X, Feng Z, Zhang G, Wang L, Chen L, Yang J, Wang Z.   +6 more
europepmc   +1 more source

Reference layer adaptive filtering (RLAF) for EEG artifact reduction in simultaneous EEG-fMRI [PDF]

, 2016
Edlinger, Günther, Koschutnig, Karl, Krausz, Gunther, Müller-Putz, Gernot, Steyrl, David   +4 more
core   +1 more source

Piezoelectric rubber sheet sensor: a promising tool for home sleep apnea testing. [PDF]

Sleep Breath
Hayano J, Yamamoto H, Tanaka H, Yuda E.
europepmc   +1 more source

Research Progress of Fiber Interferometric-based Vital Signs Monitoring

Guangtongxin yanjiu
This paper reviews our progress in applying anti-distortion and Artificial Intelligence (AI) techniques to fiber-optic interferometric vital signs monitoring.
XU Wei, ZHANG Yeming, NI Jinchao, WANG Xiuyuan, YU Changyuan   +4 more
doaj  

Test-retest reliability of EEG microstate metrics for evaluating noise reductions in simultaneous EEG-fMRI. [PDF]

Imaging Neurosci (Camb)
Kuroda T, Kobler RJ, Ogawa T, Tsutsumi M, Kishi T, Kawanabe M.   +5 more
europepmc   +1 more source

Prediction of ECG signals from ballistocardiography using deep learning for the unconstrained measurement of heartbeat intervals. [PDF]

Sci Rep
Morokuma S, Saitoh T, Kanegae M, Motomura N, Ikeda S, Niizeki K.   +5 more
europepmc   +1 more source