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Cuffless blood pressure (BP) monitoring is a critical task in the cardiovascular diseases (CVDs) domain, commonly based on Photoplethysmography (PPG) and Electrocardiogram (ECG) signals. While ECG often delivers better BP monitoring performance, the ...

Cuffless blood pressure (BP) monitoring is a critical task in the cardiovascular diseases (CVDs) domain, commonly based on Photoplethysmography (PPG) and Electrocardiogram (ECG) signals, providing foresight into cardiac health. While ECG often delivers ...

This paper presents a study on multimodal signal fusion for biometric identification based on cardiac physiological signals from commercial-grade wearable devices. Firstly, photoplethysmogram (PPG) and phonocardiogram (PCG) signals are collected with a ...

This paper aims to explore the relationship between nighttime stress management and sleep staging based on photoelectric volume pulse wave (PPG) technology, and to analyze its application potential in improving individual sleep quality and mental health. ...

Heart rate variability (HRV) is a vital sign with the potential to predict stress and various diseases, including heart attack and arrhythmia. Typically, hospitals utilize electrocardiogram (ECG) devices to capture the heart’s bioelectrical ...

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• The UP-RaNN method drastically decreases the search space considering the hardware.
• A real-time HRV monitoring system is designed for embedded devices.
• Adaptive runtime reconfiguration can accommodate various performance demands.

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Failure to receive prompt blood transfusion leads to severe complications if massive bleeding occurs during surgery. For the timely preparation of blood products, predicting the possibility of massive transfusion (MT) is essential to ...

The paper presents a new algorithm for determining time interval cardiac series, which are obtained during the continuous registration of Photoplethysmography (PPG) signals. The accuracy of interval series extraction is directly dependent on the quality ...

In general in ICUs, operation theatres, post-operative critical care units, and even ambulatory monitors, the patients are continuously examined with ECG and pulse oximeters PPG. In these situations, where the ECG and/or PPG are afflicted by ...

Photoplethysmography (PPG) sensors have become integral components of wearable and portable health devices in the current technological landscape. These sensors offer easy access to heart rate and blood oxygenation, facilitating continuous long-term ...

In the continuous quest to push the boundaries of mobile healthcare and fitness tracking, monitoring respiratory biomarkers emerges as a pivotal frontier. In this paper, we present OptiBreathe, a lightweight on-device earable system designed to decode ...

Measuring the blood pressure (BP) and heart rate (HR) is essential in order to monitor the physiological vital parameters of patients admitted in Intensive care unit (ICU). Development of precise noninvasive measurement devices are encouraged for ...

The core premise of cancelable biometrics lies in the creation of a distinct biometric template for every individual, which can be either canceled or regenerated as needed. This process requires the use of a uniquely-defined key during the ...

Growing interest in healthcare applications has made biomedical engineering one of the fastest growing disciplines in recent years. Photoplethysmography (PPG) is one of these trends since PPG sensors are embedded into many devices like ...

In this paper, we propose a cross body signal pairing (CBSPCR) protocol to enable key generation between wearable devices with cardiac and respiratory sensors. Most previous pairing protocols require both wearable devices to access the same biometric ...

Type 2 diabetic patients benefit significantly if the disease is well controlled through behavioral changes, namely adopting a healthy lifestyle. Currently, there is some evidence that technological strategies can help patient self-management. ...

Compared to other well-known biometric technologies based on physiological traits (e.g., fingerprint, iris, and face), heart biometrics are more robust to presentation attacks and are particularly suitable for continuous/periodic recognition. ...

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• The first study on the interoperability between ECG and PPG biometrics, based on Siamese CNNs.
• Novel CNNs for processing two-dimensional representations of PPG signals.
• Ad-hoc algorithm for training Siamese CNNs, suitable for small-...

Fake portrait video generation techniques are posing a new threat to society as photorealistic deepfakes are being used for political propaganda, celebrity imitation, forged pieces of evidences, and other identity-related manipulations. Despite ...

Recently, physiological signal-based biometric systems have received wide attention. Photoplethysmogram (PPG) signal is easy to measure, making it more attractive than many other physiological signals for biometric authentication. However, with ...

Respiratory rate (RR) serves as an indicator of various medical conditions, such as cardiovascular diseases and sleep disorders. Several studies have employed signal processing and machine learning techniques to extract RR from biosignals, such as ...

At present, research mainly uses single modal and multimodal physiological signals to identify human psychological states, but these methods generally have the drawbacks of low evaluation accuracy, poor applicability, and weak effectiveness. To address ...