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Feto- maternal monitoring is essential to assess fetal health throughout the pregnancy and during labor. Fetal ECG, uterine contraction, fetal movements, growth of the fetus, amniotic fluid volume and position of placenta are some of the important parameters to assess fetus health. Cardiotocogram (CTG) and Ultrasound are widely used for monitoring feto-maternal physiological and morphological parameters...
This paper presents a real time portable apnea and hypopnea event detection system from the measurement of oronasal airflow signal only. The system uses a combined classification system for detection of events on the basis of personalized normal breathing pattern. Events are detected first, by identifying some abnormal breathing segments with the help of a binary classifier and then, the identified...
This paper presents several non-contact methods of assessing the state of the cardiovascular system in zebrafish larvae, based on the videos of the animal under a microscope. A new algorithm for automatic detection of the region of interest (ROI) has been developed. Two distinct approaches are used to convert the information in the video to time series. The first involves using the variation in the...
This paper describes a biologically inspired algorithm mimicking locomotion, and associated brain inspired software architecture to model bipedal gait. The central pattern generator (CPG) neural network is first modeled and next, self-organizing maps of gait for running and walking are created. This biological or brain inspired neural network model is finally assimilated to account for cortical control...
A Versatile image processing technique used in a system can be very instrumental for radiologist in detecting and diagnosing subtle signs with more accuracy and reliability than distinctive screening programs. In this paper, an algorithm based on morphological processing for enhancing architecture distortion alias subtle signs patterns in digital mammograms is suggested. The results demonstrate that...
Pseudo-periodic signals are rampant in biomedical applications but are difficult to analyze. One approach is to compute time domain parameters of each individual cycle in the pseudo-periodic signal. The classic approach requires repeated computation in each cycle, which tends to be either error prone, computationally burdensome, or requires manual effort. We provide a novel combination of the pitch...
The identification of malnourished children living under extreme poverty conditions in isolated areas is crucial to trigger urgent interventions like supplementary or therapeutic feeding. This work aims to strengthen the task of following-up malnourished maternal-child population in rural areas of developing countries like Nicaragua. The solution facilitates low-cost health nutritional remote monitoring...
Treating HIV in developing countries involves highly active antiretroviral therapies that require strict adherence by the patient. Current methods of self-reporting to monitor adherence to a drug regimen are less reliable than a drug test. This work introduces proof-of-concept of a new assay involving azide-alkyne cycloaddition to detect the presence of azidothymidine (AZT), a common antiretroviral...
Epilepsy is one of the most common neurological disorders and affects almost 60 million people worldwide. Epileptic seizures, which are characterized by a recurrent and sudden malfunction of the brain, reflect the clinical sign of an excessive and hyper-synchronous activity of neurons in the brain. EEG is the most economical one with high temporal resolution. The visual inspection of EEG data is prohibitively...
Acoustical voice analyses and measurement methods might provide useful biomarkers for the diagnosis of neurological disordered voices. This paper presents a method for automatic detection of neurological disordered voices like Parkinson's disease, cerebellar demyelination and stroke using the Mel-frequency cepstral coefficient (MFCC) features. The features extracted were given to a multilayer neural...
Radial Pulse Analysis, a non-invasive diagnostic tool, is often used by practicing physicians trained in the system of Traditional Indian Medicine (TIM) - Ayurveda. We explore a unique method of sensing the radial pulse using capacitive sensors. Signals thus obtained compare well with those expected. Pulse signal have been analyzed for situations ranging from apparently trivial in nature to those...
Software based new, efficient and reliable lossless ECG data compression, transmission and feature extraction scheme is proposed here. The compression and reconstruction algorithm is implemented on C-platform. The compression scheme is such that the compressed file contains only ASCII characters. These characters are transmitted using internet based Short Message Service (SMS) system and at the receiving...
Adverse drug events ADE occur frequently in both ambulatory and inpatient settings and often lead to hospitalization; these events occur more often in the elderly. ADE may result from medication errors at the medication process or from ADE. In this paper we present a new method to improve treatment of Community-acquired pneumonia. We use database of 86 patients to test and validate this approach.
Currently after the physical fitness check in the hospital, the results will be recorded in written form and saved in archives regularly. If people want to access them, or the healthcare personnel need them to conduct further data analysis, additional manpower are required to deal with. If the healthcare personnel need the interpretation with charts, additional software package on the market would...
This article proposes a novel non-contact method of measuring intraocular pressure of human eye using an imaging technique, outside the clinical environment. The method facilitates measurement of intraocular pressure based on differences in the acquired images in the acquired images of a tow flap foils assembly before and after deflation due to an applied air puff of known pressure rebounding from...
The fusion of ultrasound (US) with CT plays a vital role in clinical diagnosis and image guided intervention. A registration framework between preoperative CT and tracked 2D intraoperative US is proposed here for hepatic intervention. After a landmark based registration method is carried out to get the initial registration, a simulation model of US from CT scan is developed to simulate the major US...
Early detection of breast cancer is carried out by using mammographic images. Due to low contrast nature of these images, it is difficult to detect signs such as microcalcifications and masses. This paper describes novel algorithms for early detection of breast cancer using image enhancement techniques to identify masses and microcalcifications. We implemented algorithm for 1) Image enhancement using...
It is not the absence of technology that hampers the healthcare delivery process but the complexity in identification of the right mix of technology that can address critical health needs in society in an economical manner that makes healthcare unaffordable and inaccessible to the majority of the world's population. There is a severe dearth of medical technicians in the rural areas in developing countries...
The demographic change in Finland is fast and is estimated that in 2030 the share of persons aged 65 or more is about 26 %. This study aims to develop usability of the technical safety systems in co-operation with the end-users, i.e. staff and the residents as well as to develop an environment that could enhance security and comfort of living of the elderly. A mixed-method approach combining questionnaires...
We describe a complete point of care health system implemented using the IEEE 11073 health device standards and ZigBee health care profile and following the Continua Alliance guidelines. We exploit the interoperability and wide range of specializations to implement four physiological devices and three environmental sensors. Within our projects, we have demonstrated the versatility of the Continua...
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