A5066265085- Non-Invasive Vital Sign Monitoring
- Microwave Imaging and Scattering Analysis
- Sleep and Work-Related Fatigue
- Wireless Body Area Networks
- Sleep and Wakefulness Research
- Indoor and Outdoor Localization Technologies
- Sleep and related disorders
- Diagnosis and treatment of tuberculosis
- HIV/AIDS Research and Interventions
- HIV, Drug Use, Sexual Risk
- Radar Systems and Signal Processing
- Context-Aware Activity Recognition Systems
- Advanced Sensor and Energy Harvesting Materials
- Privacy-Preserving Technologies in Data
- Gas Sensing Nanomaterials and Sensors
- Optical Imaging and Spectroscopy Techniques
- Acute Ischemic Stroke Management
- Animal Disease Management and Epidemiology
- Antiplatelet Therapy and Cardiovascular Diseases
- Error Correcting Code Techniques
- Healthcare Technology and Patient Monitoring
- Energy Harvesting in Wireless Networks
- Ethics in Clinical Research
- Hemodynamic Monitoring and Therapy
- Full-Duplex Wireless Communications
University of Southern Queensland
2024-2025
Hanoi Medical University
2024
Bạch Mai Hospital
2019-2024
Griffith University
2024
Thanh Do University
2024
National Institute of Information and Communications Technology
2020-2022
Massey University
2011-2020
Hanoi University of Industry
2017-2019
Hanoi University of Science and Technology
2018
Thuyloi University
2017-2018
Radio frequency energy harvesting is being considered for realizing efficient relay networks. This letter focuses on decode-and-forward relaying in an network and develops analytical expressions of the outage probability overall throughput. A three-step scheme has been proposed that allows bidirectional exchange information between two nodes via intermediate relay. The performance evaluated compared with a recent work.
This paper presents a survey of recent developments using Doppler radar sensor in searching and locating an alive person under debris or behind wall. Locating human detecting the vital signs such as breathing rate heartbeat microwave is non-invasive technique. Recently, many hardware structures, signal processing approaches, integrated systems have been introduced by researchers this field. The purpose to enhance accuracy signs' detection location reduce energy consumption. work concentrates...
This paper presents a solution that prioritises high privacy protection and improves communication throughput for predicting the risk of sexually transmissible infections/human immunodeficiency virus (STIs/HIV). The approach utilised Federated Learning (FL) to construct model from multiple clinics key stakeholders. FL ensured only models were shared between clinics, minimising personal information leakage. Additionally, an algorithm was explored on manager side global aligns with status...
A novel automatic framework is proposed for global sexually transmissible infections (STIs) and HIV risk prediction. Four machine learning methods, namely, Gradient Boosting Machine (GBM), Random Forest (RF), XG Boost, Ensemble GBM-RF-XG Boost are applied evaluated on the Demographic Health Surveys Program (DHSP), with thirteen features ultimately selected as most predictive features. Classification generalization experiments conducted to test accuracy, F1-score, precision, area under curve...
Contactless vital signs detection, based on the Doppler radar sensor system, has opened a great opportunity in biomedical applications. The system can be used to provide respiratory information of people without disturbing their comfort. This promises high accuracy measuring breathing disorders as it escapes touching sensors which might cause discomfort user and negatively affect sleeping habits. Moreover, this does not require any special environment or depend temperature light conditions....
Background The clinical epidemiology and disease prognosis in patients with acute respiratory distress syndrome (ARDS) have not yet been fully elucidated Vietnam. Methods We conducted a retrospective observational study at national tertiary hospital Hanoi, Participants were adult (age ≥18 years) who admitted diagnosed ARDS during 2015–2017. Data on patients’ general conditions, radiographic findings, ventilator settings, gas exchange, treatment methods collected compared between survivors...
Peptic ulcer perforation (PUP) is one of the most common critical surgical emergencies. The omentum flap commonly used to cover a PUP. However, cannot be in cases severe peritonitis or previous removal. This first study conducted Vietnam that was designed analyse outcomes patients with PUPs who were treated using falciform ligament.In this study, we retrospectively identified 40 consecutive for PUP at single high-volume centre from February 2018 2021. measured during diagnostic evaluation...
Vital detection on the basis of Doppler radars has drawn a great deal attention from researchers because its high potential for applications in biomedicine, surveillance, and finding people alive under debris during natural hazards. In this research, signal-to-noise ratio (SNR) remote vital-sign system is investigated. On different types noise, such as phase Gaussian leakage noise between transmitting receiving antennae, so on, SNR first been examined. Then research focused investigation...
The development of remote/wearable sensors enables more research in the health care area. Based on these kinds sensors, information human's active level, parameters can be collected to predict one's status. Sleeping quality is an important factor make a person feel healthy. In this work, we summarize current models sleeping quality. Inputs those could environmental factors, activities, or time-series data from wearable sensors. characteristic input may lead choice prediction models. domain...
Autism spectrum disorder (ASD) is a common heterogeneous neurodevelopmental with typical symptoms such as impaired social interaction, language and communication abnormalities stereotypical behavior. Since the genetics of ASDs so diverse, information on genome function provided by transcriptomic data essential to further our understanding. This transcriptome key link between measuring protein levels genetic information. Transcriptome-based studies have been often performed comparing ASD...
A very wide band (from 900 MHz to 12 GHz), enhancing beam capacity patch antennae system is developed in FR4 substrate with a dielectric constant 4.4 and 1.2 mm of height for vital detection purposes. This work focuses on development 3D-orthogonal detect the respiratory beat at different frequencies. transceiver proposed that allows thorax displacement four frequencies, from L X band. The measurement shows can operate extra frequency signs.
Abstract In human life, respiration serves as a crucial physiological signal. Continuous real‐time monitoring can provide valuable insights for the early detection and management of several respiratory diseases. High‐sensitivity, noninvasive, comfortable, long‐term stable devices are highly desirable. spite this, existing sensors cannot continuous due to erosion from moisture, fluctuations in body temperature, many other environmental factors. This research developed wearable thermal‐based...
(1) Background: Atrial fibrillation (AF) poses a growing cardiovascular challenge globally, with significant implications in Vietnam. This study aimed to investigate the impact of AF on ischemic stroke/transient attack (TIA) and clinical outcomes, as well utilization oral anticoagulation (OAC) therapy (2) Methods: Data from Registry Stroke Care Quality (RES-Q) across 66 hospitals Vietnam between 2017 2023 were utilized. Patients diagnosed stroke or TIA included, characteristics, pre-...
Introduction Applying and leveraging artificial intelligence within the healthcare domain has emerged as a fundamental pursuit to advance health. Data-driven models rooted in deep learning have become powerful tools for use informatics. Nevertheless, data are highly sensitive must be safeguarded, particularly information related sexually transmissible infections (STIs) human immunodeficiency virus (HIV). Methods We employed federated (FL) combination with homomorphic encryption (HE) STI/HIV...
Monitoring vital signs using microwave signals has significant applications in biology, and also for finding survivors under debris during natural hazards. The detection radar sensor system consists of a transmitter receiver. This can be considered as wireless system. In the system, outage probability is crucial factor to evaluate reliability work investigates (OP) Nakagami-m environment. dependence OP on different parameters like operating frequency, distance measured object, power, leakage...
This paper presents a new algorithm to classify the multiple stages of sleeping. In this algorithm, novel feature vector in time domain is proposed. Various machine learning models were utilized sleeping problems four categories. The results research outperform previous studies and shows high potential real-time application.
The development of microwave radar vital sign sensing system brings many benefits to mankind. This can be used detect the location living people buried under debris. Other important applications sensor are smart home, health care and defense. There several main blocks in such as a transmitter, receiver, signal processing circuit display block. transmitter propagates radio frequency signals toward human collects reflected from chest. By analyzing transmitted received signals, useful...
The lacking data from wearable sensors to solve different problems in the healthcare area is obvious since it not easy find enough volunteers collect data. Moreover, human reacts very differently medical treatment/ exercise levels/ stress and so on. Therefore, we need an advanced prediction model which can reuse public be adapt personal predict health parameters. This paper introduces a solution for this issue. We present novel personalized adaptive algorithm based on ensemble learning...