Results 21 to 30 of about 1,748,185 (181)

Empirical retinal venous pulse wave velocity using modified photoplethysmography

BMC Research Notes, 2023
Objective Using the novel imaging method of high-speed modified photoplethysmography we measured the retinal venous pulse wave velocity in a single case. Results A healthy 30-year-old subject underwent high-speed modified photoplethysmography (120 frames
Anmar Abdul-Rahman, William Morgan, Aleksandar Vukmirovic, Andrew Mehnert, Danail Obreschow, Dao-Yi Yu   +5 more
doaj   +1 more source

Vasomotor assessment by camera-based photoplethysmography

Current Directions in Biomedical Engineering, 2016
Camera-based photoplethysmography (cbPPG) is a novel technique that allows the contactless acquisition of cardio-respiratory signals. Previous works on cbPPG most often focused on heart rate extraction.
Trumpp Alexander, Schell Joachim, Malberg Hagen, Zaunseder Sebastian   +3 more
doaj   +1 more source

Photoplethysmographic imaging of hemodynamics and two-dimensional oximetry [PDF]

Известия Саратовского университета. Новая серия: Физика, 2022
Background and Objectives: A review of recent papers devoted to actively developing methods of photoplethysmographic imaging (PPGI) of blood volume pulsations in vessels and non-contact two-dimensional oximetry on the surface of the human body is carried
Volkov, Ivan Yu., Sagaidachnyi, Andrey Aleksandrovich, Fomin, Andrey Vladimirovich   +2 more
doaj   +1 more source

Using imaging photoplethysmography for heart rate estimation in non-human primates. [PDF]

PLoS ONE, 2018
For humans and for non-human primates heart rate is a reliable indicator of an individual's current physiological state, with applications ranging from health checks to experimental studies of cognitive and emotional state.
Anton M Unakafov, Sebastian Möller, Igor Kagan, Alexander Gail, Stefan Treue, Fred Wolf   +5 more
doaj   +1 more source

The 2023 wearable photoplethysmography roadmap [PDF]

, 2023
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 ...
Charlton, Peter H, Panicos A Kyriacou, Davies, Harry J., Khan, Yasser, John Allen, Xiaorong DingvJessilyn Dunn, Nan Ji, Yasser Khan, Md Mobashir Hasan Shandhi, Hu, Xiao,, Baker, Stephanie, Dunn, Jessilyn, Yumin Li, Toshiyo Tamura, Elgendi, Mohamed, Chen, Fei, Zheng, Dingchang,, Poon, Carmen CY, Zhao, Ni, Chen, Fei,, Clifton, David A.,, Liu, Chengyu,, Kyriacou, Panayiotis A, Liu, Chengyu, Pereira, Tania, Clifton, David A., Franklin, Daniel, Ramella-Roman, Jessica C, Xiao Hu, Mandic, Danilo P, Dingchang Zheng, Levy, Jeremy, Ji, Nan, Daniel Franklin, Yuan-Ting Zhang, Zheng, Dingchang, Harri Saarinen, Ding, Xiaorong,, Zhu, Tingting, Bailon, Raquel,, Behar, Joachim A.,, Jing Liu, Harry J Davies, Kontaxis, Spyridon, Ramella-Roman, Jessica C., Kyriacou, Panayiotis A.,, Jeremy Levy, Zhang, Yuan-Ting, Shin, Hangsik,, Zhang, Yuan-Ting,, Clifford, Gari D, Liu, Jing,, Gil, Eduardo,, Wang, Will Ke,, Jussi Hernesniemi, Behar, Joachim A., Hernesniemi, Jussi, Joachim A Behar, Ni Zhao, Ding, Cheng,, Saarinen, Harri,, Nitzan, Meir, Hu, Xiao, Bailon, Raquel, Mukkamala, Ramakrishna,, Vehkaoja, Antti,, Stephanie Baker, Hassan, Md Farhad,, Tamura, Toshiyo,, Antti Vehkaoja, Baker, Stephanie,, Meir NitzanvTania Pereira, Poon, Carmen C. Y., Ilkka Korhonen, Vehkaoja, Antti, Allen, John; id_orcid, Shandhi, Md Mobashir Hasan,, Hernesniemi, Jussi,, Levy, Jeremy,, Zhu, Tingting,, Allen, John,, Shin, Hangsik, Gari D Clifford, Poon, Carmen C.Y.,, Mejia-Mejia, Elisa, Mejía-Mejía, Elisa,, Ding, Cheng, Laguna, Pablo, Lu, Lei, Vaidotas Marozas, Li, Yumin, Clifton, David A, Fei Chen, Lee, Chungkeun, Lu, Lei,, Clifford, Gari D., Nitzan, Meir,, Ding, Xiaorong, Clifford, Gari D.,, Hangsik Shin, Munia Ferdoushi, Allen, John, David A Clifton, Liu, Jing, Shandhi, Md Mobashir Hasan, Davies, Harry J.,, Tamura, Toshiyo, Ji, Nan,, Carmen C Y Poon, Jesús Lázaro, Elgendi, Mohamed,, Ramella-Roman, Jessica C.,, Spyridon Kontaxis, Wang, Will Ke, Khan, Yasser,, Stansby, Gerard,, Kontaxis, Spyridon,, Lazaro, Jesus,, Lei Lu, Behar, Joachim A, Li, Yumin,, Will KeWang, Zheng, Dingchang; id_orcid, Korhonen, Ilkka,, Chungkeun Lee, Danilo P Mandic, Poon, Carmen C Y, Mukkamala, Ramakrishna, Marozas, Vaidotas,, Kyriacou, Panayiotis A., Davies, Harry J, Jessica C Ramella-Roman, Dunn, Jessilyn,, Charlton, Peter H,, Cheng Ding, Tingting Zhu, Charlton, Peter H., Stansby, Gerard, Raquel Bailón, Lazaro, Jesus, Peter H Charlton, Mohamed Elgendi, Md Farhad Hassan, Laguna, Pablo,, Pereira, Tânia,, Eduardo Gil, Elisa Mejía-Mejía, Chengyu Liu, Hassan, Md Farhad, Franklin, Daniel,, Marozas, Vaidotas, Zhao, Ni,, Pablo Laguna, Gil, Eduardo, Saarinen, Harri, Ferdoushi, Munia, Gerard Stansby, Lee, Chungkeun,, Mandic, Danilo P., Mandic, Danilo P.,, Korhonen, Ilkka, Ramakrishna Mukkamala, Ferdoushi, Munia,   +162 more
core   +9 more sources

Frame Registration for Motion Compensation in Imaging Photoplethysmography

Sensors, 2018
Imaging photoplethysmography (iPPG) is an emerging technology used to assess microcirculation and cardiovascular signs by collecting backscattered light from illuminated tissue using optical imaging sensors.
Dmitry Iakovlev, Sijung Hu, Vincent Dwyer   +2 more
doaj   +1 more source

Heart rate from face videos under realistic conditions for advanced driver monitoring

Current Directions in Biomedical Engineering, 2017
The role of physiological signals has a large impact on driver monitoring systems, since it tells something about the human state. This work addresses the recursive probabilistic inference problem in time-varying linear dynamic systems to incorporate ...
Pilz Christian S., Zaunseder Sebastian, Canzler Ulrich, Krajewski Jarek   +3 more
doaj   +1 more source

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

USING PHOTOPLETHYSMOGRAPHY IMAGING FOR OBJECTIVE CONTACTLESS PAIN ASSESSMENT

Acta Polytechnica, 2014
This work presents an extension to the known Analgesia Nociception Index (ANI), which provides an objective estimation of the current depth of analgesia. An adequate “measure” would facilitate so-called balanced anesthesia.
Marcus Koeny, Nikolai Blanik, Xinchi Yu, Michael Czaplik, Marian Walter, Rolf Rossaint, Vladimir Blazek, Steffen Leonhardt   +7 more
doaj   +1 more source

Hybrid Optical Unobtrusive Blood Pressure Measurements

Sensors, 2017
Blood pressure (BP) is critical in diagnosing certain cardiovascular diseases such as hypertension. Some previous studies have proved that BP can be estimated by pulse transit time (PTT) calculated by a pair of photoplethysmography (PPG) signals at two ...
Guangfei Zhang, Caifeng Shan, Ihor Kirenko, Xi Long, Ronald M. Aarts   +4 more
doaj   +1 more source