Results 51 to 60 of about 121,818 (283)

Heart Rate Estimation from Remote Photoplethysmography Signal

open access: yesInternational Journal For Multidisciplinary Research
Remote photoplethysmography (rPPG) enables noncontact heart rate estimation from facial videos by analyzing subtle color changes correlated with blood volume pulses. However, rPPG signals are often contaminated with motion artifacts, illumination noise, and facial expression changes.
Arya Sharma   +4 more
openaire   +1 more source

Remote heart rate estimation using non-contact photoplethysmography [PDF]

open access: yes, 2022
TEMASSIZ FOTOPLETİSMOGRAFİ İLE KALP ATIM HIZI KESTİRİMİTemassız Fotopletismografi (PPG) kalp atım hızı gibi insan fizyolojik sinyallerini deri bölgelerindeki hafif renk değişimlerini kullanarak kestirmeye çalışan temassız ve non-invazif bir yöntemdir.
openaire  

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein   +13 more
wiley   +1 more source

Remote diagnostic and detection of coronavirus disease (COVID-19) system based on intelligent healthcare and internet of things

open access: yesResults in Physics, 2021
In this paper, we will propose a novel system for remote detecting COVID-19 patients based on artificial intelligence technology and internet of things (IoT) in order to stop the virus spreading at an early stage.
S.K. Elagan   +5 more
doaj   +1 more source

ECG Signal Reconstruction on the IoT-Gateway and Efficacy of Compressive Sensing Under Real-time Constraints [PDF]

open access: yes, 2018
Remote health monitoring is becoming indispensable, though, Internet of Things (IoTs)-based solutions have many implementation challenges, including energy consumption at the sensing node, and delay and instability due to cloud computing.
Alinier, Guillaume   +7 more
core   +4 more sources

Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang   +22 more
wiley   +1 more source

BVPNet: Video-to-BVP Signal Prediction for Remote Heart Rate Estimation

open access: yes2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021), 2021
In this paper, we propose a new method for remote photoplethysmography (rPPG) based heart rate (HR) estimation. In particular, our proposed method BVPNet is streamlined to predict the blood volume pulse (BVP) signals from face videos. Towards this, we firstly define ROIs based on facial landmarks and then extract the raw temporal signal from each ROI ...
Das, Abhijit   +5 more
openaire   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

A robust neural network for privacy-preserving heart rate estimation in remote healthcare systems

open access: yesHealthcare Analytics
In this study, we propose a computationally-light and robust neural network for estimating heart rate in remote healthcare systems. We develop a model that can be trained on consumer-grade graphics processing units (GPUs), and can be deployed on edge ...
Tasnim Nishat Islam, Hafiz Imtiaz
doaj   +1 more source

Personalised mobile services supporting the implementation of clinical guidelines [PDF]

open access: yes, 2009
Telemonitoring is emerging as a compelling application of Body Area Networks (BANs). We describe two health BAN systems developed respectively by a European team and an Australian team and discuss some issues encountered relating to formalization of ...
Gay, Valerie   +4 more
core   +3 more sources

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