Emerging sensing and modeling technologies for wearable and cuffless blood pressure monitoring
Cardiovascular diseases (CVDs) are a leading cause of death worldwide. For early
diagnosis, intervention and management of CVDs, it is highly desirable to frequently monitor …
diagnosis, intervention and management of CVDs, it is highly desirable to frequently monitor …
Recent progress of optical imaging approaches for noncontact physiological signal measurement: A review
In recent years, optical imaging techniques have gained wide recognition for the
measurement of vital signals, such as heart rate, respiratory rate, oxygen saturation, and …
measurement of vital signals, such as heart rate, respiratory rate, oxygen saturation, and …
Assessment of non-invasive blood pressure prediction from ppg and rppg signals using deep learning
F Schrumpf, P Frenzel, C Aust, G Osterhoff, M Fuchs - Sensors, 2021 - mdpi.com
Exploiting photoplethysmography signals (PPG) for non-invasive blood pressure (BP)
measurement is interesting for various reasons. First, PPG can easily be measured using …
measurement is interesting for various reasons. First, PPG can easily be measured using …
Real-time cuffless continuous blood pressure estimation using deep learning model
YH Li, LN Harfiya, K Purwandari, YD Lin - Sensors, 2020 - mdpi.com
Blood pressure monitoring is one avenue to monitor people's health conditions. Early
detection of abnormal blood pressure can help patients to get early treatment and reduce …
detection of abnormal blood pressure can help patients to get early treatment and reduce …
Cuffless blood pressure estimation from PPG signals and its derivatives using deep learning models
C El-Hajj, PA Kyriacou - Biomedical Signal Processing and Control, 2021 - Elsevier
Blood pressure (BP) is a direct indicator for hypertension, therefore, continuous and non-
invasive BP monitoring is essential for reducing future health complications. Most non …
invasive BP monitoring is essential for reducing future health complications. Most non …
MLP-BP: A novel framework for cuffless blood pressure measurement with PPG and ECG signals based on MLP-Mixer neural networks
High blood pressure (BP) is a major source of death worldwide as it slows down the flow of
blood and oxygen, and leads to various chronic diseases such as chest pain (angina), heart …
blood and oxygen, and leads to various chronic diseases such as chest pain (angina), heart …
Photoplethysmography signal processing and synthesis
This chapter presents the fundamental signal processing techniques used to analyze the
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …
A flexible, wearable, and wireless biosensor patch with internet of medical things applications
Monitoring the vital signs and physiological responses of the human body in daily activities
is particularly useful for the early diagnosis and prevention of cardiovascular diseases. Here …
is particularly useful for the early diagnosis and prevention of cardiovascular diseases. Here …
Unconstrained blood pressure monitoring based on a neural network–assisted multistage pressure textile sensor
S Si, C Sun, H Wang, H Wu, L Chen, Y Xia, J Qin, Y Wu… - Nano Energy, 2023 - Elsevier
Non-invasive blood pressure (NIBP) assessment via constrained wearable devices aided by
intelligent algorithms has led to tremendous advancements in healthcare. However, existing …
intelligent algorithms has led to tremendous advancements in healthcare. However, existing …
Cuff-less blood pressure estimation from photoplethysmography via visibility graph and transfer learning
This paper presents a new solution that enables the use of transfer learning for cuff-less
blood pressure (BP) monitoring via short duration of photoplethysmogram (PPG). The …
blood pressure (BP) monitoring via short duration of photoplethysmogram (PPG). The …