Results 161 to 170 of about 24,406 (238)

Hardware Accelerators for Cardiovascular Signal Processing: A System-on-Chip Perspective. [PDF]

Micromachines (Basel)
Hariri R, Cirstea M, Oghaz MMD, Benkrid K, Faust O.   +4 more
europepmc   +1 more source

CMOS-Compatible ZrO₂-Based Film for Photoplethysmography Sensors Enabling Accurate and Sensitive Health Monitoring. [PDF]

ACS Appl Mater Interfaces
Estrócio N, Jayakrishnan AR, Gwozdz K, Kaim A, Kim JS, Silva A, Lenzi V, Noszczyk P, Nair S, Pereira MACC, Marques LSA, Hoye RLZ, MacManus-Driscoll JL, Silva JPB.   +13 more
europepmc   +1 more source

A hemoglobin concentration dataset derived from triple-wavelength photoplethysmography for machine learning applications. [PDF]

Data Brief
Abuzairi T, Maharani DB.
europepmc   +1 more source

Feature extraction tool using temporal landmarks in arterial blood pressure and photoplethysmography waveforms. [PDF]

NPJ Cardiovasc Health
Pal R, Rudas A, Williams T, Chiang JN, Barney A, Cannesson M.   +5 more
europepmc   +1 more source

Apple Watch for Hypertension Screening. [PDF]

Hypertension
Cohen JB, Brady TM, Juraschek SP, Picone DS, Yang E, Schutte AE.   +5 more
europepmc   +1 more source

Assessment of Blood Glucose Measurement Using New Noninvasive Technology: Protocol and Methodology.

JMIR Res Protoc
Suradji EW, Dhaliwal SS, Li-Feng Z, Zhou E, Lim A, Wong HH, Du Y, Fredicia F, Dianky A, Pasaribu P, Masayoshi Takashi EG, Tan JYA, Santoso M, Ang SB.   +13 more
europepmc   +1 more source

Correlation of Cardio-Ankle Vascular Index With Accelerated Photoplethysmography and Risk Factors: A Retrospective Chart Review. [PDF]

J Clin Hypertens (Greenwich)
Jeon SU, Moon SK, Kim MK, Kwon S, Cho SY, Jung WS, Park SU, Park JM, Ko CN, Lee HG.   +9 more
europepmc   +1 more source

Wearable Device Photoplethysmography As a Viable Tool to Longitudinally Monitor Vasoconstriction Biomarkers for Predicting Vaso-Occlusive Crisis in Sickle Cell Disease: Feasibility and Validation Study.

JMIR Hum Factors
Shah P, Sy S, Chen M, Khoo MC, Coates TD, Veluswamy S.   +5 more
europepmc   +1 more source

High-Fidelity rPPG Waveform Reconstruction from Palm Videos Using GANs. [PDF]

Sensors (Basel)
Li T, Liu Y.
europepmc   +1 more source

PPG-Net 4: Deep-Learning-Based Approach for Classification of Blood Flow Using Non-Invasive Dual Photoplethysmography (PPG) Signals. [PDF]

Sensors (Basel)
Samant M, Pacharaney U.
europepmc   +1 more source