ANALISIS DEL FIDEICOMISO EN EL AMBITO TRIBUTARIO.

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any changes. Print off the graphs from your computer or even transport them to a Microsoft Excel worksheet and take them along to the surgery when you have your check ups. The more data your doctor has, the more accurate his analysis.

viii. This software is also compatible with other Omron products which support this feature.

ix. You can track readings for two people. This is done by a simple slide button – person A and person B. Both the monitor and the software allow for this so making this an ideal monitor for a couple who both need to track their blood pressure.

x. It has the ability to detect any arrhythmias (irregular heart beats) and will show this on the screen by displaying the relevant symbol for that particular irregularity.

The Cons

i. The Comfit Cuff should be replaced once a year.

ii. Because this automatic blood pressure monitor is highly accurate and sensitive, you do need to ensure that you place the cuff in the same place each and every time. Any variations can result in widely varying blood pressure results so you do need to pay attention to the instructions to make sure you use this correctly.

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a more computational capacity allowing data to be stored or further processed before transmission to some outside medical network via the internet.

The third tier is the medical network which is operated by a healthcare provider such as a hospital or telemedicine center where staff can handle emergency situations.

The major system issues in the design of Andrew and Alfred (2008) is that their system did not make provisions for adequate security of the patient’s data as it travels across networks. Also there is no form of authentication of the patient’s data thereby making the system porous.

Eliasz et al (2011) described a wearable healthcare monitoring system that integrates electrocardiogram and an accelerometer sensor. Their research focused on the right connection of the hardware units, combination of the detection of the QRS complexes and the detection of human falls. (QRS complexes is the name for the combination of three of the graphical deflections seen on a typical electrocardiogram (ECG), calculation of heart rate and the detection of human falls).

The limitation of their work is that the proposed method of detecting falls did not give satisfactory results in performed tests. It often provided with false positive detections especially during rapid movements or stops. Eliasz et al (2011) stated that future works should be to develop more advanced algorithms and improve fall detection algorithm.

Mehmet et al (2007) built a Wireless Body Sensor Network (WBSN) based on the medical implant communication service band. The project used both implanted and on-body nodes.

Mehmet et al (2007) suggests that future work should include more sensors to monitor other vital signs such as blood pressure, pulse rate, oxygen saturation level, ECG etc.

They also proposed the possibility of extending the capability to automate alerts which can get the attention of health professionals as soon as they are needed.

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Hui et al (2007) presented a paper that described the system design of a wireless electrocardiogram (WECG) system and focused more on the personal server hardware and software design.

They proposed further work to link up the proposed system with a health care network through the internet.

2.12.1 Deduction from Reviewed Works

The following are deductions from the reviewed works:

i. The different people who worked on remote medical monitoring system did not consider the security and privacy of the patient’s records as they travel through the networks. The security of patients’ data is very important because the patients’ medical records need to be safeguarded against unauthorized access.

ii. The method proposed by Eliasz et al (2011) to detect human falls did not give satisfactory result in performed tests.

iii. The fall detection algorithm designed by Eliasz et al (2011) was quite simple and needs to be improved on.

iv. Mehmet et al (2007) suggests that more robust systems should be designed to include more sensors to monitor blood pressure, pulse rate, oxygen saturation level, ECG etc.

v. Mehmet et al (2007) also proposed the possibility of extending the capability to automate alerts which can get the attention of the health professionals as soon as they are needed.

vi. The system designed by Istepanian et al (2004) is unsuitable for lengthy continuous monitoring particularly during normal activity, intensive training or computer-assisted rehabilitation.

vii. There is need to link up the system proposed by Hui et al (2007) with a health care network through the internet.

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2.12.2 Expectations from the New System

The new system is an enhanced secured remote medical monitoring system which is able to:

i. Monitor the vital signs of patients from a remote location and send the results to the server which is located in the hospital.

ii. The vital signs to be monitored include the blood pressure, the pulse rate and the mean arterial pressure.

iii. These vital signs are simulated using a simulated mobile phone.

iv. The new system also addressed the major gap identified in other remote medical monitoring systems which is the security of the patients’ data as they travel through the networks. A computer program was written which encrypts and decrypts the patients’ data. A 16-bit symmetric key encryption algorithm which employs the Advanced Encryption Standard was used to achieve the encryption.

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CHAPTER 3

METHODOLOGY AND SYSTEM ANALYSIS 3.1 Introduction

In system analysis, the system is surveyed and planned. This involves the study and analysis of the existing system, the definition of system requirements and priorities for the new or improved system.

The components of the existing system are studied and analysed. This is done by identifying all the problems in the existing system, the causes of the problems and then state the actions to be taken in order to produce a better system.

Feasibility study is carried out to determine whether the project is feasible or not. Data flow diagrams and information flow diagrams are also drawn at this stage. The methodologies to be used for the project are also stated here.

Some methodologies used in systems analysis are:

i. Structured Systems Analysis and Design Methodology (SSADM) ii. Object Oriented Analysis and Design Methodology OOADM) iii. Expert Systems Approach to Software Engineering

iv. Prototyping