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Billions of vascular access procedures are performed annually worldwide, serving as a crucial first step in various clinical diagnostic and therapeutic procedures. For pediatric or elderly individuals, whose vessels are small in size…

Robotics · Computer Science 2025-04-09 Shuaiqi Jing , Tianliang Yao , Ke Zhang , Di Wu , Qiulin Wang , Zixi Chen , Ke Chen , Peng Qi

Automatic detection and tracking of emotional states has the potential for helping individuals with various mental health conditions. While previous studies have captured physiological signals using wearable devices in laboratory settings,…

Signal Processing · Electrical Eng. & Systems 2024-01-12 Michal K. Grzeszczyk , Anna Lisowska , Arkadiusz Sitek , Aneta Lisowska

We propose a portable cartridge based lab-on-a-chip platform. The main sensing mechanism uses high frequency acoustic waves. Feasibility of two different transducers has been investigated for biological measurements. We used zincoxide (ZnO)…

Medical Physics · Physics 2017-10-17 Seyedfakhreddin Nabavi

There has been a consistent growth in research involving imaging of microvasculature over the past few decades. By 2008, publications mentioning the microcirculation had grown more than 2000 per annum. Many techniques have been demonstrated…

Medical Physics · Physics 2019-07-04 Cerine Lal , Martin J Leahy

Modern wearable devices are embedded with a range of noninvasive biomarker sensors that hold promise for improving detection and treatment of disease. One such sensor is the single-lead electrocardiogram (ECG) which measures electrical…

Machine Learning · Statistics 2020-12-02 Jeffrey Chan , Andrew C. Miller , Emily B. Fox

To navigate medical instruments safely and accurately inside a patient's vascular tree, combining X-ray fluoroscopy with intermittent contrast injections is the gold standard. However, prolonged exposure to ionizing radiation poses health…

Magnetic imaging based on ensembles of diamond nitrogen-vacancy quantum sensors has emerged as a useful technique for the spatial characterisation of magnetic materials and current distributions. However, demonstrations have so far been…

The recent developments in wearable devices and the Internet of Medical Things (IoMT) allow real-time monitoring and recording of electrocardiogram (ECG) signals. However, continuous monitoring of ECG signals is challenging in low-power…

Signal Processing · Electrical Eng. & Systems 2021-12-16 Berken Utku Demirel , Islam Abdelsalam Bayoumy , Mohammad Abdullah Al Faruque

Reliable hardware connectivity is vital in heterogeneous integrated systems. For example, in digital microfluidics lab-on-a-chip systems, there are hundreds of physical connections required between a micro-electro-mechanical fabricated…

Systems and Control · Electrical Eng. & Systems 2020-04-15 Chunjie Zhang , Yang Su , Siyi Hu , Kai Jin , Yuhan Jie , Wenshi Li , Arokia Nathan , Hanbin Ma

Heart-rate estimation is a fundamental feature of modern wearable devices. In this paper we propose a machine intelligent approach for heart-rate estimation from electrocardiogram (ECG) data collected using wearable devices. The novelty of…

Owing to recent advances in thoracic electrical impedance tomography, a patient's hemodynamic function can be noninvasively and continuously estimated in real-time by surveilling a cardiac volume signal associated with stroke volume and…

Signal Processing · Electrical Eng. & Systems 2023-01-05 Chang Min Hyun , Tae Jun Jang , Jeongchan Nam , Hyeuknam Kwon , Kiwan Jeon , Kyunghun Lee

Photoplethysmography (PPG) is a non-invasive technology that measures changes in blood volume in the microvascular bed of tissue. It is commonly used in medical devices such as pulse oximeters and wrist worn heart rate monitors to monitor…

Developing new methods for predicting electromagnetic instabilities in cardiac activity is of primary importance. However, we still need a comprehensive view of the heart's magnetic activity at the tissue scale. To fill this gap, we present…

A growing number of wearable devices is becoming increasingly non-invasive, readily available, and versatile for measuring different physiological signals. This renders them ideal for inferring the emotional states of their users. Despite…

Human-Computer Interaction · Computer Science 2022-08-11 Weiwei Jiang , Kangning Yang , Maximiliane Windl , Francesco Chiossi , Benjamin Tag , Sven Mayer , Zhanna Sarsenbayeva

Over the past decade, several studies have explored the potential of magnetic resonance fingerprinting (MRF) for the quantification of brain hemodynamics, oxygenation, and perfusion. Recent advances in simulation models and reconstruction…

Signal Processing · Electrical Eng. & Systems 2025-12-16 T. Coudert , A. Delphin , A. Barrier , E L Barbier , B. Lemasson , J M Warnking , T. Christen

The current methods of assessing tendon health such as clinical examination, imaging techniques, and implanted pressure sensors, are often based on a subjective assessment or are not accurate enough, are extremely expensive, or are limited…

Signal Processing · Electrical Eng. & Systems 2024-11-04 Amirhossein Yazdkhasti , Hendrik De Klerk , Andreea Renata Lucaciu , Rana Moeinzad , Hamid Ghaednia , Joseph H. Schwab

Cell-based biosensors constitute a fundamental tool in biotechnology, and their relevance has greatly increased in recent years as a result of a surging demand for reduced animal testing and for high-throughput and cost-effective in vitro…

Energy Autonomous Wearable Sensors (EAWS) have attracted a large interest due to their potential to provide reliable measurements and continuous bioelectric signals, which help to reduce health risk factors early on, ongoing assessment for…

Electromyography (EMG) signals are obtained from muscle cell activity. The recording and analysis of EMG signals has several applications. The EMG is of diagnostic importance for treating patients suffering from neurological and…

Systems and Control · Electrical Eng. & Systems 2025-09-18 Vinay C K , Vikas Vazhayil , Madhav rao

We present a wide-field multi-pass implementation of label-free imaging flow cytometry. Our technique is shown for high-speed flow imaging of ensembles of human red blood cells with up to four passes, demonstrating x4 enhancement in…