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Electrochemical detection (ECD) is one of the best means for producing DNA biosensors and disposable microchips, oriented for electroactive analyte's separation and detection applications like biomedical and in vitro diagnostic. Electrode material is one of the major factors that influence the performance and development of biosensors and ECD microchips. Traditionally, the ECD sensing has been based...
The wealth of computerised medical information becoming readily available presents the opportunity to examine patterns of illnesses, therapies and responses. These patterns may be able to predict illnesses that a patient is likely to develop, allowing the implementation of preventative actions. In this paper sequential rule mining is applied to a General Practice database to find rules involving a...
Sleep onset latency (SOL) provides an objective assessment of sleepiness and it also clinically useful as a sleep deprivation diagnostic tool. In this study, we suggest a new approach to estimate SOL based on the correlation between blood pressure (BP) and heart beat interval (HBI). This approach facilitates less intrusive finding of SOL as compared with currently using polysomnographic method. We...
In this paper, we propose a method of detecting nasal cavity location in far infrared images for non-contact determination of human breathing. Current non-contact methods for far infrared imaging assumed that the user's body is stationary. We apply the Viola-Jones' method to exactly detect regions that includes nasal cavities. 5,100 FIR images are collected to train our nasal cavity detector; we evaluate...
In this paper, we present an objective evaluation method to study the pressure induced abrupt baseline shift in bioelectric signals measurement using textile electrodes. The evaluation was carried out on a hollow simulator, made from a Teflon tube with two pieces of filtration membranes at each end to mimic human skin, which filled with saline solution. An electrode pair was set to contact with the...
Respiratory rate (RR) can often be extracted from electrocardiogram (ECG) or photoplethysmogram (PPG) by analyzing the variations of certain morphological features or the peak-to-peak time interval between them. In this paper, we use a novel method for estimating the RR from the sequence of the pulse transit time (PTT) from radial to the central aorta. To validate this algorithm, in-situ experiments...
In this paper, we analyzed three novel features derived from PPG (photoplethysmography) of healthy people and hypertensive patients, which are pulse pressure, correlation between RR interval (the interval between two adjacent R wave in the electrocardiography signal) and PP interval (the interval between two adjacent P wave in the PPG signal), and PWTT (Pulse Wave Transfer Time). The experiments showed...
Binary numbers (BNs) generation is crucial for wireless body sensor networks (WBSNs) security because they can be utilized for authentication or encryption of physiological data in WBSNs for healthcare applications. The paper compared pseudorandom number generators and biometrics based binary number generators for WBSNs, i.e. generated from the linear congruential generator (LCG) and the interpulse...
Cerebral autoregulation is a mechanism that blood flow keeps constantly steady in spite of blood pressure variability in the brain. This mechanism has been modeled as a control system with ABP as input and CBFV as output. Linear methods of assessing CA suffer from non-linearity and non-stationarity, while newly developed methods, wavelet and MMPF, have their inherent drawbacks. Wavelet is limited...
Information security is very important to health information, and Cryptography is the key measure for information security. This paper proposes a low-power and cost-effective implementation of AES (Advanced Encryption Standard) supporting encryption and decryption with 128-bit cipher key. Considering the cost-effective, resource-sharing scheme is employed to reduce the hardware complexity of the cipher...
Internet and web services contribute to the future of healthcare delivery due to the wide deployment of IP networks around the world. Meanwhile, sensor network as an emerging technology for delivering health information has been attracting more and more attentions recently. As most of existing sensor networks have not been deployed with IP protocol, complex multi-protocol gateways are needed to connect...
Like commonly used electromyography (EMG), mechanomyogram (MMG) is another type of important signal that represents muscle activities in the form of muscle vibrations. A number of studies have showed that both EMG and MMG have great prospect in the application of prosthetic control system. Most previous studies using either EMG or MMG signals mainly focus on improving the control performance of prosthetic...
Infrared thermography is a non-contact measurement method which is widely used in human body temperature monitoring. But there are still some limitations when infrared thermography is used in medical diagnosis, so the accuracy of infrared thermal imaging is still being debated. Spectroscopic analysis is a powerful technology. It not only can reflect the relative temperature difference accurately,...
Human body communication (HBC) is regarded as a promising communication method in body sensor networks (BSNs). In this paper, we investigated this communication channel characteristics by comprehensive experiments over different frequencies (from 1MHz to 200MHz). We proposed the most mimic real application setup that using the battery powered transceiver with single-electrode, in order to avoid the...
In recent years, Wireless capsule endoscopy (WCE) has been widely utilized in diagnosis of gastrointestinal (GI) tract disease. This new technology is painless and can see small intestine that traditional endoscopies cannot reach. However, Analysis of massive images for each WCE detection is tedious and time consuming to physicians. In this paper we present a computer-aid approach to help clinicians...
The interaction between microbubble and elastic microvessel wall has been hypothesized to be important in the mechanisms of therapeutic ultrasound applications. In this study, a 2D axisymmetric finite element numerical model is established to study the interaction between elastic microvessel wall and oscillating microbubble in low frequency ultrasound field using fluid solid interaction method. The...
In response to the world's rapidly ageing population, an intense area of research interest is mobile health (m-health) focused on ubiquitous patient-monitoring. While various biosignals are monitored using conventional methods, it is worthwhile to investigate alternative sensing approaches in order to improve accessibility of patients' health status. This paper presents the prototype of a “smart shirt”...
Falls in elderlies are a major health and economic problem. This paper aimed at finding the best body position to place inertial sensors and the best feature for pre-impact and impact detection of fall using wireless Body Sensor Network. Waist acceleration maybe the optimal formula for fall detection, under the conditions of existing inertial sensor's best precision. We set two thresholds for acceleration,...
Hyperspectral imaging is a novel technology for obtaining both spatial and spectral information in the area of aerospace and military industries for last 20 years. The multifusion, multispectral, hyperspectral and polarimetric imaging can provide both anatomical and physiological or metabolic information; it can play an important role in the development of molecular imaging technologies with enhanced...
Chemerin is a protein bearing chemotaxis and anti-inflammation functions. Truncation of C-terminal region of chemerin precursor, prochemerin, regulates its activity. A reliable structure may help us understand the mechanism of such regulation. We model the full length prochemerin with a mixed strategy, that the cystatin-fold domain near the N-terminus is based on homology modeling of a template of...
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