Keeping the heart device cost, power and functionality of the balance between

Current cardiovascular disease has become the world's leading causes of death.

It is estimated that in 2005, about 1750 million people died from cardiovascular disease, which accounts for the global death toll of around 30%. But in these deaths, 760 000 people died of a heart attack is 570 million people die from stroke. As of 2015, estimated to be 20 million people died from cardiovascular disease, heart attack and stroke is the result of such major cause of death. And a large number of deaths may have any cardiovascular disease symptom will occur.

Electrocardiogram (ECG) monitor is health care providers use of important tools used to help identify heart problems, and monitor patients ' health.

ECG heart cells generated by measuring the pressure to monitor the heart. ECG vector in the sinus (SA) to generate the right atrium and then as a vector to the entire myocardium. Represents time in x axis and representative graphic dot of the Y axis shows the measured results, its signal is shown in Figure 1.

Figure 1 contains a datum point and the measuring of the ECG signal

ECG monitor comes in many forms, including those involving remote monitoring of handheld devices and hospital use integrated patient monitoring system.

Since the early 20th century Willem Einthoven established the first practical ECG, all ECG equipment's basic design is established, only the waveform and application is different.

If you want to get the ECG signal, must be in a different location for scheduled patients use skin sensors.

When the heart is complete normal cardiac cycle, the sensor surface record electronic activities will change. As a result of a healthy person's heartbeat, including cardiac depolarization and recovery polarization etc series standard activities, their strong graphics displayed ECG cyclical. However, abnormal heartbeat (e.g. heart flutter) or arrhythmia patients you may generate non-cyclical ECG graph. In other words, abnormal heartbeat displayed ECG graph and normal people, but it still might have cyclical. Examples of such exceptions include the heart rate is too slow or too fast, in which case each heartbeat still and another time the heartbeat is similar, but different than the healthy heart frequency.

Latest ECG equipment design in appearance and functionality implemented innovation.

Old ECG devices will print the ECG for clinical analysis, but a lot of new ECG version you do not need to be patient here, by advanced algorithms for monitoring and diagnosis of patients. Although in many cases the clinical assessment of ECG graph remains extremely important, but now the process is automated, so it can be more time for more patients are monitored. This automation lead to cardiac function in monitor. This type of monitors does not require a continuous watch on the wards, but once you have depending on the detected arrhythmia it will immediately alert you to the clinician.

ECG evaluation of automation, medical equipment designers bringing new opportunities and challenges.

These instruments were developed for a large number of applications, such as the need for continuous understanding of high risk populations, as well as indoor monitor doctors for anesthesia is used to track the status of the heart function integrated devices. In order to continue to produce health effects more but smaller devices, there are some common issues to be resolved.

The core of these problems in ECG signal is analysis and detection algorithm efficiency.

In the past, arrhythmia by highly trained doctors for the diagnosis. From the doctor converted to electronic equipment diagnosis is a daunting task, to be improved. However, the development of new algorithms to improve diagnostic accuracy can save considerable costs. Nursing care of patients affected by and they each episode, the device can accurately diagnose to arrhythmia has a close relationship. Algorithm to perform these tasks by effect appears when the better, it's role in clinical settings. However, to improve accuracy typically require more code and more complex programming, which in turn require running code devices have more onboard memory, causing increased production costs.

An ideal method is to use mathematical precision, to reduce code size, memory requirements, and the final cost, but at the same time continue to achieve precise diagnosis of the current industry standard.

Recently, Monebo software has developed this algorithm. Unlike most commercial algorithm, ECG Intervals of Kinetic Monebo algorithm does not require patient ECG graphics sample warm-up phase, this phase will usually be ignored. Preheating sampling is a commonly used practice operation because it ensures that devices read the "real" ECG graph instead of device startup due to transient phenomena and distortion of the image. Preheating sampling can minimize some wrong diagnosis at the probability of occurrence. However, this approach will need to add additional code to determine the actual testing begins, by the way, as well as where to save the data you want to discard. On the other hand, the use of advanced signal Monebo solutions are technology and key "Datum" point-sampling, cancelled the warm-up time, Monebo algorithm has a leaner code requirements.

Efficient ECG testing code, for equipment designers is a godsend.

It allows designers to focus on the specific implementation, and ensure that within their arrhythmia detection algorithm to work correctly, and does not consume additional memory. As previously mentioned, all cardiac monitoring equipment was created are not the same. For example, many lead wireless indoor ECG monitor requires battery cycle length, production costs low, while more complex hospital-grade equipment may need more processing power level and the real-time operating system (RTOS) to run additional applications. Many manufacturers production covers the entire range of equipment. Therefore, the algorithm can and ECG series of processing kernel easily connect is crucial. These kernel in the power and functionality to meet the requirements of the device.

Monebo cooperation with Freescale Semiconductor has been solved

Hardware platform flexibility. Monebo 500 using Freescale microcontroller (MCU), processors and digital signal controller (DSC) advantage, will their Kinetic Intervals algorithm widely used in numerous applications. In particular, the Freescale Flexis QE pin and soft foot-compatible 8-bit and 32-bit MCU series, was used to provide ultra-low power consumption for longer battery life. Low power operation is a next-generation wireless and handheld device will consider health care.

Since the Einthoven development since the string galvanometer, ECG technology has come a long way.

Automation of the latest innovations will enable more people from arrhythmia benefit of diagnosis. Although this area has already made significant progress, but the next generation of cardiac monitor developers still have to pay close attention to the diagnostic accuracy, code complexity, economy, efficiency and power consumption of the device. Monebo and Freescale hardware portfolio platform not only addresses the current challenges faced by them, and provide the ability to meet in the next few years ECG device developers to technical requirements of collaboration solutions.