Выбор биометрического метода для носимой электроники
Summary Objective of the Paper: To find ways to meet the need for specifying terminology and developing a format to describe knowledge in specific subject areas (SA) that will be effective, easily-accessible and clear for both people and programs. This is related to terms, their relationships, models of ECG devices, filters, etc. Key Points: The use of ontology facilitates the following: - a repeated use of knowledge in SA; - a differentiation of the knowledge related to SA from operational knowledge; - a shared general understanding of the information structure among people and programs. An ontology carefully developed for one SA can then be used in other SAs. Moreover, several existent ontologies describing some subdomains of a large SA can be integrated when it is required to create a big ontology. Conclusion: Any SA can have countless ontologies, as each new ontology is just another way to structure concepts and their relationships. Modern doctors must be able to use medical information technologies in their everyday practices, which help them to not waste time on routine calculations and save time and energy for solving current problems. Keywords: electrocardiogram (ECG), telemedicine, ontology, SCP-ECG, OWL.
The mass application of mobile cardiographs already leads to both explosive quantitative growth of the number of patients available for ECG study, registered daily outside the hospital (Big DATA in cardiology), and to the emergence of new qualitative opportunities for the study of long-term oscillatory processes (weeks, months, years) of the dynamics of the individual state of the Cardiovascular system of any patient.
The article demonstrates that new opportunities of long - term continuous monitoring of the Cardiov ascular system state of patients ' mass allow to reveal the regularities (DATA MINING) of Cardiovascular system dynamics, leading to the hypothesis of the existence of an adequate Cardiovascular system model as a distributed nonlinearself - oscillating system of the FPU recurrence model class . The presence of a meaningful mathematical model of Cardiovascular system within the framework of the FPU auto – recurrence , as a refinement of the traditional model of studying black box, further allows us to offer new computational methods for ECG analysis and prediction of Cardiovascular system dynamics for a refined diagnosis and evaluation of the effectiveness of the treatment.
Continua Health Alliance is a non-profit, open industry organization of healthcare and technology companies joining together in collaboration to improve the quality of personal healthcare. With more than 200members companies around the world, Continua is dedicated to establishing a system of interoperable personal connected health solutions with the knowledge that extending those solutions into the home fosters independence, empowers individuals and provides the opportunity for truly personalized health and wellness management. When you look at complete list of Continua Certified TM http://www.continuaalliance.org/node/77, you cannot find any ECG device (at the time of writing), but need ECG asa useful screening tool for a variety of cardiac abnormalities. We decided to build the prototype of 3-5-lead ECG with Bluetooth LE and USB interface. The firmware of the device was developed according the ISO/EEE 11073-10406:2011 and this device as a agent can communicate with any manager device on Personal Area Network. The filters of the device (50/60 Hz , low and high pass) are programmable and can be remotely configured. The signals from electrodes can be routed to doctor computer's screen for online diagnostic, can be save in EHR system or sent to special computer with LabView for ECG signal processing with different algorithms. This prototype could be used as a X73 agent for other consumer medical applications.
Two versions of the mathematical model that detect different glycemia cases using heart rate variability (HRV) values taking into account the patient age have been developed and evaluated. HRV and glucose data have been obtained from 128 patients with type 2 diabetes mellitus (T2DM). Based on the evaluation results, the fundamental possibility of developing a non-invasive glycemia monitoring system based on one of the model variants has been confirmed. To increase the accuracy of the model, it is necessary to conduct a similar study involving patients without annotated type 2 diabetes.
This prototype development explains the challenges encountered during the ISO/IEEE 11073 standard implementation process. The complexity of the standard and the consequent heavy requirements, which have not encouraged software engineers to adopt the standard. The developing complexity evaluation drives us to propose two possible implementation strategies that cover almost all possible use cases and eases handling the standard by non-expert users. The first one is focused on medical devices (MD) and proposes a low-memory and low-processor usage technique. It is based on message patterns that allow simple functions to generate ISO/IEEE 11073 messages and to process them easily. MD act as X73 agent. Second one is focused on more powerful device X73 manager, which do not have the MDs' memory and processor usage constraints. The protocol between Agent and Manager is point-to-point and we can distribute the functionality between devices.
Developed both implementation X73 Agent and Manager will cut developing time for applications based on ISO/EEE 11073.