Remote patient monitoring is an alternative to comfort to the patient's life, it also allows a more realistic regular home check-ups of patients with certain special medical recording of the patient's health while performing normal conditions or the elderly who are unable to regularly visit a everyday activities. The system uses a configurable model for healthcare facility. This technology reduces the number of home ry . g visits which are now only required when special attention is theladdtion of onyte eired sensor fhe eci needed. This paper presents the design and development of a applications. It provides eight data acquisition channels, each remote point-of-care patient monitoring system which allows the with adjustable gain so that it can be adapted to various patient to be monitored remotely while remaining in the comfort sensors. A standard broadband Ethernet connection is used for of their home. The system described here allows wireless data remote communication with the care facility, thus eliminating acquisition from eight patient-worn sensors. The number and any need for special hardware or services.
A graphical programming tool is developed in a view to help beginners realize the importance of coding in the form of physical robotic movement. Introducing a programming language to students with no background is often felt to be challenging in terms of syntax and control flow of a language. The paper discusses an open source graphical programming tool built on Minibloq platform that allows students to focus more on creative part of programming. The paper proposes a graphical approach to programming where a student need not remember any constructs of a programming language, but relies on the approach to solve a problem. The programming utility is developed for an open source Arduino platform. Currently the tool is developed to control a real robot built around Arduino platform. Thus a platform to learn fundamentals of programming as well as robotics is made available to students. The graphical programming tool with the robotic hardware was found to be easy to learn by high school students during an outreach program conducted by the authors. The framework is also extendable beyond programming and can be further developed to understand robotics.
Wearable health monitoring systems have recently attracted widespread interest for their application in long term patient monitoring. Wireless wearable technology enables continuous observation of patients while they perform their normal everyday activities. This involves the development of flexible and conformable sensors that could be easily integrated to the smart fabrics. Carbon nanotubes are found to be one of the ideal candidate materials for the design of multifunctional e-textiles because of their capability to change conductance based on any mechanical deformation as well as surface functionalization. This paper presents the development and characterization of a carbon nanotube (CNT)-polymer nanocomposite flexible strain sensor for wearable health monitoring applications. These strain sensors can be used to measure the respiration rhythm which is a vital signal required in health monitoring. A number of strain sensor prototypes with different CNT compositions have been fabricated and their characteristics for both static as well as dynamic strain have been measured.
capable of being picked up on the surface of the scalp. The Abstract-Electroencephalogram (EEG) is an electrical recording of this potential is known as electroencephalogram recording of brain activity. It has numerous diagnostic and (EEG).research applications in the study of the brain. EEG can be recorded from the human brain by the placement of electrodes on the surface of the scalp, but the signals thus picked up are very cording of Ees ceran allengesrwhich small (on the order of a few microvolts) to be recorded or complicate the process of design of an amplifier for such digitized (for example by an A/D converter). Hence an signals; which include noise from external sources such as amplification system is required to amplify these small potentials power lines as well as those originating from the body itself to an acceptable level. Further, due to the small amplitude, these (such as ECG and other bio potentials). For useful recording signals are very susceptible to any background noise which could and interpretation of EEG, it is important that a relatively lowbe picked up by the human body through the ground path or the .. . ' .cables connecting the recording unit to the electrode. So, a signal nois which is free f tifactsi[1]. Ote conditioning circuit is required which is capable of filtering factors which could affect the performance of the amplifier are certain high and low frequency components of the input signal impedance, offset voltage and noise contribution due to the while allowing only the signal in the desired bandwidth to pass. electrode/skin interface.The complete block diagram for the circuit is shown in Figure 1.This paper discusses the design of a compact amplifier suitable The amplifier and signal conditioning module design described for this purpose and the considerations in the design of the in this paper includes an instrumentation amplifier, low-pass amplifier. One of the main concerns in the design of this new h amplifier was the need to make it compact and thus useful in and high pass filters for noise reduction and power isolation portable and wearable patient monitoring equipment. It also circuitry for reducing power instability which could lead to needs to be a low-power system in order to be able to power it noise being introduced in the power supply itself [2]. using batteries. The design presented here uses commercially available surface-mount components to ensure a low-cost design II. DESIGN CONSIDERATIONS with a relatively smaller footprint. The characteristics of the developed amplifier such Signal-to-Noise ratio, frequency A. Effects ofInterference response and gain are presented in this paper. Some of the measured EEG data is also presented.
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