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Publications (170)
Atrial fibrillation (AF) is the most common persistent arrhythmia, and it is crucial to develop generalizable automatic AF detection methods. However, supervised AF detection is often limited in performance due to the difficulty in obtaining labeled data. To address the gap between limited labeled data and the requirements for model robustness and...
Dementias such as Alzheimer disease (AD) and mild cognitive impairment (MCI) lead to problems with memory, language, and daily activities resulting from damage to neurons in the brain. Given the irreversibility of this neuronal damage, it is crucial to find a biomarker to distinguish individuals with these diseases from healthy people. In this stud...
Heartbeat inter-beat interval (IBI) extraction is a crucial technology for unobtrusive vital sign monitoring, yet its precision and robustness remain challenging. A promising approach is fusing heartbeat signals from different types of unobtrusive sensors. This paper introduces HSF-IBI, a novel and universal framework for unobtrusive IBI extraction...
Pulse signals can serve as important indicators of one’s cardiovascular condition. However, capturing signals with stable morphology using radar under varying measurement periods remains a significant challenge. This paper reports a non-contact arterial pulse measurement method based on mmWave radar, with stable signals achieved through a range–ang...
It is essential to find and treat the elderly in time after they fall. A millimeter-wave radar sensor not only solves the problem of invasion of privacy caused by the camera but also avoids letting patients wear wearable devices, which has received more and more attention in the field of fall detection and motion recognition. Due to the different m...
Multi-label electrocardiogram (ECG) classification is of great significance for the diagnosis of cardiovascular diseases, and it is also a challenging task because of the various of pathological patterns across different cardiac abnormalities. This paper analyzes the complex spatial-temporal variations information contained in the 12-lead ECG from...
Chronic Obstructive Pulmonary Disease (COPD), as the third leading cause of death worldwide, is a major global health issue. The early detection and grading of COPD are pivotal for effective treatment. Traditional spirometry tests, requiring considerable physical effort and strict adherence to quality standards, pose challenges in COPD diagnosis. V...
Objective:Diagnosing chronic obstructive pulmonary disease (COPD) using Impulse Oscillometry (IOS) is challenging due to the high level of clinical expertise it demands from doctors , which limits the clinical application of IOS in screening. The primary aim of this study is to develop a COPD diagnostic model based on machine learning algorithms us...
Dementia‐associated disorders cause damage to the brains of patients and bring huge burdens to individuals and families. Electroencephalogram (EEG) monitoring is friendly to patients on account of low cost, non‐invasion, and objective. Event‐related potential (ERP) is a component of EEG that has huge potential to evaluate the cognitive function of...
The burgeoning field of radar-based vital sign sensing has seen significant advancements. However, practical aspects such as the impact of multi-person scenarios with diverse orientations in real-world environments are often overlooked and not fully verified. In realistic scenarios, the concurrent presence of multiple individuals within a single ra...
Single-cell electrical and structural properties measured by impedance and images play critical roles in clinical examinations. Although leukocyte differentials based on single-cell impedance or images have been widely studied, bimodal fusion of single-cell impedance and imaging data still lacks a systematic study. Single-cell impedance and images...
This work presents a technique for measuring blood pressure waveform using a lightweight, stretchable, and wearable ultrasound patch. A system containing ultrasound transceiver hardware and signal processing software was developed for blood pressure waveform evaluation. By acquiring echo frames from 3 to 4 adjacent arterial locations and employing...
The pneumotachograph (PNT), a commonly used flowmeter in pulmonary function diagnostic equipment, is the required frequency calibration to maintain high accuracy. Aiming to simplify calibration steps, we developed a fast calibration system with a commercially available 3L syringe to provide a real output flow waveform. The acquisition of the real o...
The volume-clamp method (VCM) is a widely used non-invasive continuous blood pressure (BP) monitoring technique, but determining the volume setpoint (V 0) in the open-loop phase can be time-consuming and may cause finger tissue displacement. Additionally, frequent interruptions in BP measurement are required during the closed-loop phase to reset V...
Aiming at resolving the contradiction between the linearity and sensitivity of capacitive pressure sensors, an analytical model and a fast design strategy are developed to achieve rapid and accurate evaluation and optimization of sensor performance on the basis of a capacitive pressure sensor with vertical comb fingers. The feasibility of the propo...
An airborne anemometer, which monitors wind on the basis of Meteorological Multi-rotor UAVs (Unmanned Aerial Vehicles), is important for the prevention of catastrophe. However, its performance will be affected by the self-excited air turbulence generated by UAV rotors. In this paper, for the purpose of the correction of an error, we developed a met...
Gesture recognition has found versatile applications in natural human–computer interaction (HCI). Compared with traditional camera-based or wearable sensors-based solutions, gesture recognition using the millimeter wave (mmWave) radar has attracted growing attention for its characteristics of contact-free, privacy-preserving and less environment-de...
It is necessary to detect the fall of the elderly in time. As a non-contact monitoring device, radar can monitor users without their knowledge and protect their privacy. The unsupervised fall detection method does not need to collect and label fall samples, which avoids the difficulty of collecting fall data and saves researchers time and cost. The...
Hemorrhagic events are the main focus of attention during antithrombosis therapy in patients with coronary artery disease (CAD). This study aims to investigate the potential of using photoplethysmography (PPG) and machine learning techniques to assess hemorrhagic risk in patients with CAD. A total of 1638 patients with CAD were enrolled from Januar...
Falls are fatal for the elderly, and timely detection after falls is crucial. As a contactless device, the radar sensor can monitor users’ falls with the advantage of not revealing their privacy. Today, the use of radar for fall detection has made a significant progress. However, most current methods cannot be used in real complex scenes. They usua...
Objective . The ECG is a standard diagnostic tool for identifying many arrhythmias. Accurate diagnosis and early intervention for arrhythmias are of great significance to the prevention and treatment of cardiovascular disease. Our objective is to develop an algorithm that can automatically identify 30 arrhythmias by using varying-dimensional ECG si...
Automatic sleep stage classification is an effective technology compared to conventional artificial visual inspection in the field of sleep staging. Numerous algorithms based on machine learning and deep learning on single-channel electroencephalogram (EEG) have been proposed in recent years, however, category imbalance and cross-subject discrepanc...
Pulse wave velocity (PWV) measured at a specific artery location is called local PWV, which provides the elastic characteristics of arteries and indicates the degree of arterial stiffness. However, the large and cumbersome ultrasound probes require an appropriate sensor position and pressure maintenance, introducing usability constraints. In this p...
Emotion recognition is receiving significant attention in research on health care and Human-Computer Interaction (HCI). Due to the high correlation with emotion and the capability to affect deceptive external expressions such as voices and faces, Electroencephalogram (EEG) based emotion recognition methods have been globally accepted and widely app...
Respiration monitoring is vital for human health assessment. Humidity sensing is a promising way to establish a relationship between human respiration and electrical signal. This paper presents a polyimide-based film bulk acoustic resonator (PI-FBAR) humidity sensor operating in resonant frequency and reflection coefficient S11 dual-parameter with...
Sleep plays a vital role in human physical and mental health. To accurately identify sleep structure under comfortable and convenient conditions, many machine-learning methods have been applied in the classification of sleep staging based on an Electrocardiogram (ECG); however, few works have solved the problem of generalization in the subject-spec...
Objective:
Pulmonary function parameters play a pivotal role in the assessment of respiratory diseases. However, the accuracy of the existing methods for the prediction of pulmonary function parameters is low. This study proposes a combination algorithm to improve the accuracy of pulmonary function parameter prediction.
Methods:
We first establi...
Objective
Non-contact continuous biometric identification system based on the heartbeat signals has attracted more attention due to its privacy-friendly properties. Current methods, however, mostly focused on the traditional machine learning methods under the close-set condition. This paper aims to investigate the feasibility of using the cardiac r...
The aim of this work is to present a method for accurately estimating heart and respiration rates under different actual conditions based on a mattress which was integrated with an optical fiber sensor. During the estimation, a ballistocardiogram (BCG) signal, which was obtained from the optical fiber sensor, was used for extracting the heart rate...
We aimed to develop a low-resistance and high-accuracy way to measure expiratory volume for the accurate classification of chronic obstructive pulmonary disease (COPD). In this paper, using computer-aided design (CAD), a ball-blocking differential pressure flowmeter (BBDPF) has been developed and then fabricated using 3D printing. Ball blocking is...
Single-resonator-based (SRB) sensors have thrived in many sensing applications. However, they cannot meet the high-sensitivity requirement of future high-end markets such as ultra-small mass sensors and ultra-low accelerometers, and are vulnerable to environmental influences. It is fortunate that the integration of dual or multiple resonators into...
Objective
Head-up Tilt Testing (HUTT) is a widely used medical tool for the diagnosis of unexplained syncope. Current HUTT protocols, however, are time-consuming. This study aims to investigate the feasibility of using hemodynamic monitoring and machine learning techniques to achieve early prediction of HUTT outcome for syncope patients.
Methods
A...
To satisfy the need to accurately monitor emotional stress, this paper explores the effectiveness of the attention mechanism based on the deep learning model CNN (Convolutional Neural Networks)-BiLSTM (Bi-directional Long Short-Term Memory) As different attention mechanisms can cause the framework to focus on different positions of the feature map,...
Differential pressure solid-state anemometers are suitable for mobile meteorological monitoring because of their small size, high precision, and firmness. However, they suffer from large angle-of-attack (AOA) errors caused by tilts in mobile meteorological monitoring applications. To compensate for these errors, an AOA correction method is presente...
Background and objective
: In recent years, people have been exploring methods for biometric identification through electrocardiogram (ECG) signals. Under the same psychological pressure state, biometric identification through ECG signals is a traditional verification method. However, ECG signals are affected by changes in psychological stress, and...
Objectives:
Sepsis is caused by infection and subsequent overreaction of immune system and will severely threaten human life. The early prediction is important for the treatment of sepsis. This report aims to develop an early prediction method for sepsis 6 hours ahead on the basis of clinical electronic health records.
Data sources:
Challenge da...
For achieving the high-performance film bulk acoustic resonator (FBAR) humidity sensor with MEMS process reliability, we proposed a novel FBAR design based on the polyimide film (PI-FBAR). The PI film was employed to provide multifunction for the structural supporting and humidity sensing simultaneously, which was first used in the back-trench FBAR...
To achieve good properties such as the hysteresis, repeatability, stability, linearity and response time in this work, the optimisation processes of the package are presented for a microcapacitive humidity sensor. On the basis of theoretical analysis, the optimisation will be conducted in two ways, including reducing the effect of parasitic capacit...
Objective:
This paper aims to present that physiological signals are processed based on wavelet decomposition to calculate multiple physiological parameters in real-time on an embedded platform.
Approach:
ECG and PPG were decomposed to the appropriate scale based on the quadratic spline wavelet base in order to get the high and narrow pulse peak...
A high-precision humidity response time measurement has been urgently needed for the fast response humidity sensor in some special situations, for instance, when the quadcopter performs the meteorological observations in the atmospheric boundary layer, the relative humidity changes drastically as it flies into the cloud. So it is essential to gain...
Objectives:
Identifying acute exacerbations in chronic obstructive pulmonary disease (AECOPDs) is of utmost importance for reducing the associated mortality and financial burden. In this research, the authors aimed to develop identification models for AECOPDs and to compare the relative performance of different modeling paradigms to find the best...
The FBAR sensor can be affected severely by its front-end circuit, especially the phase noise; however, it has rarely been discussed up to now. Herein, we analyze the influence of phase noise in the front-end circuit on an FBAR humidity sensor. A frequency shift detecting system was designed combined with the theoretical calculation and Advanced De...
Aiming at the problem of the nonlinearity and cavity leads of traditional capacitive pressure sensors, a non-coplanar comb electrode structure is proposed. The variation of the overlap areas of comb electrodes reflects the change in capacitance, thereby improving the linearity of the sensor. At the same time, the non-coplanar comb electrodes are de...
High precision is an important indicator for the silicon piezoresistive pressure sensor, which is deeply affected by the ambient temperature. This paper presented a chip-level oven-controlled system to operate the silicon piezoresistive pressure sensor at a constant temperature. However, the changes in ambient temperature still affect the temperatu...
Wind speed and direction are important parameters in meteorological observation. A solid wind sensor is needed with a small quadcopter for boundary layer meteorological observation. In this paper, the principle of a cylindrical two-dimensional wind sensor is reported and the data from wind tunnel experiments are analyzed. A model is proposed to des...
The authors informed us of their intention to withdraw this article after acceptance but prior to completion of the version of record. The authors have not responded to our communications since then. We hereby withdraw this article from publication. No issues are known regarding the scientific content of the article, and there are no concerns regar...
Objective:
Spirometry, as the gold standard approach in the diagnosis of chronic obstructive pulmonary disease (COPD), has strict end of test (EOT) criteria (e.g. complete exhalation), which cannot be met by patients with compromised health states. Thus, significant parameters measured by spirometry, such as forced vital capacity (FVC), have limit...
Wind speed and direction are important parameters in meteorological observation. Solid wind sensor has needed with small Quadcopter for boundary layer meteorological observation. In this paper the principle of a cylindrical two-dimensional wind sensor is reported by analyzing the data from wind tunnel experiments. A model is proposed to describe th...
With the development of biomedical equipment and healthcare level, large amounts of data have been brought out in hospital, especially in Intensive Care Unit (ICU). However, how to better exploit meaningful information from these rich data still remains a challenge. This paper focuses on ICU mortality prediction, which is a typical example of secon...
Skin penetration is related to efficiencies of drug delivery or ISF extraction. Normally, the macro-electrode is employed in skin permeability promotion and evaluation, which has the disadvantages of easily causing skin damage when using electroporation or reverse iontophoresis by alone; furthermore, it has large measurement error, low sensitivity,...
Due to advances in telemedicine, mobile medical care, wearable health monitoring, and electronic skin, great efforts have been directed to non-invasive monitoring and treatment of disease. These processes generally involve disease detection from interstitial fluid (ISF) instead of blood, and transdermal drug delivery. However, the quantitative extr...
In this study, the authors present an alternative method for poor accuracy of piezoresistive meteorology pressure sensing in low-temperature environment (down to -45°C) by incorporating external thermodynamic control. In order to use the designed sensor in such a low-temperature environment, the microelectromechanical systems (MEMS) chip itself has...
In this paper, a wind energy harvester, which can be used as building skin, is developed. In order to overcome the defects of traditional wind energy harvester, such as expensive and crisp, the developed harvester is designed as a circular silicon plate with several symmetrically distributed rectangular cavities which were covered with ZnO (Zinc ox...
This paper presented a high-performance pressure sensor based on a film bulk acoustic resonator (FBAR). The support film of the FBAR chip was made of silicon nitride and the part under the resonator area was etched to enhance the sensitivity and improve the linearity of the pressure sensor. A micro resistor temperature sensor and a micro resistor h...