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.
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.
Distance patient monitoring during daily activity can provide medical information from different sensors . Recording of related cardiac signals such as ECG, respiration and also other information such as body motion can improve diagnosis and monitor the evolution of many widespread diseases. Key-issues for portable or even wearable personal healthcare devices (PHD) are: power consumption, longterm sensors, comfortable wearing, easy and wireless connectivity. For example, hearing aids batteries you have to change every 7-10 days, but wireless sensor for securities system you don't need to change it for 3-5 years that is very convenience. Power consumption of wearable PHD depend on what kind of sensors, which technologies of communication and processor do you use and function that it calculated in real time, temperature, humidity and many other factors. To improved the comfort of using PHD we need reduce the weights of device, reduce the power consumption - move some functionality from device to host computer (application server), improve recharged batteries ( use wireless charger), used new materials for ECG electrodes. The ECG front end (based on TI AD1293 chip) offers ultra-high input impedance allowing use of dry, long-lasting electrodes such conductive rubbers or novel textile electrodes that can be embedded in clothes. A small size digital ADXL345 3-axes accelerometer was also integrated. Patient monitor incorporate a 16 bit low power microprocessor that controls 24-bit ADC of signals at programmable sampling frequencies (e.g. 500 Hz) and drives, digital temperature sensor and the Bluetooth BLE module from Bluegiga capable to reliable transmit real-time signals within 20 m range. Added accelerometer to personal healthcare device allows new functionality such as fall detector, which very important for elder people and help to understanding people activities during ECG recording. To reduce power consumption the accelerometer can used as a start / stop sensor for ECG recording and other measurements. Another useful medical parameter that we can monitor is the arterial blood pressure. Measurement of arterial blood pressure (BP) involves obtaining the systolic blood pressure (SBP) and diastolic blood pressure (DBP), defined as the highest and lowest pressures during a cardiac cycle. The golden standard to measure BP is the ausculatory method, here a specialist inflates a cuff around the arm, and uses a stethoscope to determine SBP and DBP. Oscillometric techniques are based on the same principle, but are intended for home use. These two methods require the use of a cuff, which is bulky, costly, and does not allow continuous monitoring. We propose an adaptive algorithm to estimate SBP and DBP without using a cuff, we use of peripheral oxygen (SPO2) sensor. The work was carried out with the financial support of the Ministry of education and science of the Russian Federation (the contract № 02. G 25.31.0033)
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.