Results 31 to 40 of about 11,400 (246)

The 2023 wearable photoplethysmography roadmap

Physiological Measurement, 2023
Abstract Photoplethysmography is a key sensing technology which is used in wearable devices such as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to monitor physiological parameters including heart rate and heart rhythm, and to track activities like sleep and exercise.
Charlton, Peter H, Allen, John, Bailón, Raquel, Baker, Stephanie, Behar, Joachim A, Chen, Fei, Clifford, Gari D, Clifton, David A, Davies, Harry J, Ding, Cheng, Ding, Xiaorong, Dunn, Jessilyn, Elgendi, Mohamed, Ferdoushi, Munia, Franklin, Daniel, Gil, Eduardo, Hassan, Md Farhad, Hernesniemi, Jussi, Hu, Xiao, Ji, Nan, Khan, Yasser, Kontaxis, Spyridon, Korhonen, Ilkka, Kyriacou, Panicos A, Laguna, Pablo, Lázaro, Jesús, Lee, Chungkeun, Levy, Jeremy, Li, Yumin, Liu, Chengyu, Liu, Jing, Lu, Lei, Mandic, Danilo P, Marozas, Vaidotas, Mejía-Mejía, Elisa, Mukkamala, Ramakrishna, Nitzan, Meir, Pereira, Tania, Poon, Carmen CY, Ramella-Roman, Jessica C, Saarinen, Harri, Shandhi, Md Mobashir Hasan, Shin, Hangsik, Stansby, Gerard, Tamura, Toshiyo, Vehkaoja, Antti, Wang, Will Ke, Zhang, Yuan-Ting, Zhao, Ni, Zheng, Dingchang, Zhu, Tingting   +50 more
openaire   +6 more sources

Review of deep learning methods for imaging photoplethysmography data processing

Научно-технический вестник информационных технологий, механики и оптики
This paper presents a review of contemporary deep learning methods for processing remote photoplethysmography data. Architectures of convolutional neural networks, transformers, recurrent, and generative models are examined for video signal preprocessing
I. M. Rubin, M. A. Volynsky
doaj   +1 more source

Improvement of Left Ventricular Ejection Time Measurement in the Impedance Cardiography Combined with the Reflection Photoplethysmography

Sensors, 2018
Cardiac stroke volume (SV) is an essential hemodynamic indicator that can be used to assess whether the pump function of the heart is normal. Non-invasive SV measurement is currently performed using the impedance cardiography (ICG).
Shing-Hong Liu, Jia-Jung Wang, Chun-Hung Su, Da-Chuan Cheng   +3 more
doaj   +1 more source

1‐D Collocated Dual‐Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology

Advanced Materials, EarlyView.
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee, Sungha Jeon, Min Kim, Joonhee Won, Jinwook Yeo, Kyunghyun Jo, Soyeon Lee, Kieun Park, Yechan Yang, Chul Kim, Gun‐Hee Lee, Seunghwa Ryu, Sungho Jo, Seongjun Park   +13 more
wiley   +1 more source

CLINICAL PERSPECTIVES ON PHOTOPLETHYSMOGRAPHY IN IDENTIFYING THE RISK OF DEVELOPING CARDIOVASCULAR DISEASES

Актуальные проблемы теоретической и клинической медицины
Introduction. This literature review focuses on modern methods for assessing cardiovascular risk using photoplethysmography and heart rate variability.
B. А. Bugibayeva, А. S. Abzaliyeva, B. К. Abzaliyev, М. Т. Abdirova, U. М. Suleimenova, A. M. Datkabayeva   +5 more
doaj   +1 more source

A Dual‐Modal Wearable PPG Smartwatch with AI‐Enhanced Correction for High‐Accuracy and Continuous AF Burden Assessment

Advanced Science, EarlyView.
ABSTRACT Atrial fibrillation (AF) increases the risk of stroke and heart failure, yet accurate quantification of AF burden in daily life remains difficult. Although smartwatch photoplethysmography (PPG) supports continuous monitoring, complex rhythms and signal noise can impair burden estimation.
Song Zuo, Jinglei Wang, Xin Wang, Han Feng, Yize Zhao, Fadong Li, Shaobin Wei, Le Zhou, Zixu Zhao, Songjie Chen, Xiangyi Kong, Jue Wang, Liu He, Shijun Xia, Xin Li, Junmeng Zhang, Xiaoxia Liu, Xueyuan Guo, Ning Zhou, Songnan Li, Chenxi Jiang, Ribo Tang, Caihua Sang, Deyong Long, Xin Du, Jianzeng Dong, Wenwu Zhu, Changsheng Ma   +27 more
wiley   +1 more source

Effects of Missing Data on Heart Rate Variability Measured From A Smartwatch: Exploratory Observational Study

JMIR Formative Research
BackgroundMeasuring heart rate variability (HRV) through wearable photoplethysmography sensors from smartwatches is gaining popularity for monitoring many health conditions.
Hope Davis-Wilson, Meghan Hegarty-Craver, Pooja Gaur, Matthew Boyce, Jonathan R Holt, Edward Preble, Randall Eckhoff, Lei Li, Howard Walls, David Dausch, Dorota Temple   +10 more
doaj   +1 more source

Recognition of human hypoxic state based on deep learning

工程科学学报, 2019
Due to the development of industrialization, low-oxygen environment has become common in the confined spaces of construction industries, chemical industries, military, urban underground spaces, and poorly ventilated crowed areas and caused a large number
YU Lu, JIN Long-zhe, WANG Meng-fei, XU Ming-wei   +3 more
doaj   +1 more source

An Examination of the Feasibility of Detecting Cocaine Use Using Smartwatches

Frontiers in Psychiatry, 2021
As digital technology increasingly informs clinical trials, novel ways to collect study data in the natural field setting have the potential to enhance the richness of research data. Cocaine use in clinical trials is usually collected via self-report and/
Emre Ertin, Nithin Sugavanam, August F. Holtyn, Kenzie L. Preston, Jeremiah W. Bertz, Lisa A. Marsch, Bethany McLeman, Dikla Shmueli-Blumberg, Julia Collins, Jacqueline S. King, Jennifer McCormack, Udi E. Ghitza   +11 more
doaj   +1 more source

Soft, Multi‐Wavelength Photoplethysmography Enables Reliable Neonatal Blood Pressure Monitoring Via Error Stratification

Advanced Science, EarlyView.
A soft hybrid multi‐wavelength PPG wearable acquires neonatal signals. Synchronized PPG and invasive ABP data are segmented into fixed windows. A 1D‐EfficientNet model predicts segment‐level SBP and DBP. Model performance is examined with retrospective subgroup analysis across acquisition conditions.
Wenqi Shi, Lanlan Mi, Jiarong Chen, Biao Liu, Min Wang, Zisheng Dai, Bin Liu, Ruize Gao, Yunfeng Lin, Weiwei Guo, Guoxing Wang, Wenyi Luo, Cheng Chen   +12 more
wiley   +1 more source