Peer-to-Peer (P2P) networks have been used efficiently as building blocks as overlay networks for large-scale distributed
network applications with Internet Protocol (IP) based bottom layer networks. With large scale Wireless Sensor
Networks (WSNs) becoming increasingly realistic, it is important to overlay networks with WSNs in the bottom layer.
The suitable mathematical (stochastic) model that can model the overlay network over WSNs is Queuing Networks with
Multi-Class customers. In this paper, we discuss how these mathematical network models can be simulated using the
object oriented simulation package OMNeT++. We discuss the Graphical User Interface (GUI) which is developed to
accept the input parameter files and execute the simulation using this interface. We compare the simulation results with
analytical formulas available in the literature for these mathematical models.
The brain and the human nervous system are perhaps the most researched but least understood components of the
human body. This is so because of the complex nature of its working and the high density of functions. The monitoring
of neural signals could help one better understand the working of the brain and newer recording and monitoring
methods have been developed ever since it was discovered that the brain communicates internally by means of electrical
pulses. Neuroelectronics is the field which deals with the interface between electronics or semiconductors to living
neurons. This includes monitoring of electrical activity from the brain as well as the development of feedback devices
for stimulation of parts of the brain for treatment of disorders. In this paper these electrical signals are modeled through
a nano/microelectrode arrays based on the electronic equivalent model using Cadence PSD 15.0. The results were
compared with those previously published models such as Kupfmuller and Jenik's model, McGrogan's Neuron Model
which are based on the Hodgkin and Huxley model. We have developed and equivalent circuit model using discrete
passive components to simulate the electrical activity of the neurons. The simulated circuit can be easily be modified by
adding some more ionic channels and the results can be used to predict necessary external stimulus needed for
stimulation of neurons affected by the Parkinson's disease (PD). Implementing such a model in PD patients could
predict the necessary voltages required for the electrical stimulation of the sub-thalamus region for the control tremor
motion.
Carbon nanotube based electrodes can overcome the drawbacks posed by the conventional wet electrodes, used for
physiological monitoring. Here, multiwalled CNT arrays were grown on highly doped n-type Si-wafers with Fe-catalyst
layer, using a thermal CVD system. Acetylene was used as the carbon source gas, while Ammonia was the
reducing gas and Argon was the purging inert gas, in these experiments. The thermal annealing of the catalyst layer
and the carbon nanotube growth schedule, were optimized to get a dense and uniform multiwalled CNT array. SEM
images reveal dense uniform growth of multiwalled carbon nanotubes over the entire catalyst deposited area. The
cross-sectional images reveal a quasi-vertical alignment.
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.
The bioelectrical potentials generated within the human body are the result of electrochemical activity in the excitable
cells of the nervous, muscular or glandular tissues. The ionic potentials are measured using biopotential electrodes which
convert ionic potentials to electronic potentials. The commonly monitored biopotential signals are Electrocardiogram
(ECG), Electroencephalogram (EEG) and Electromyogram (EMG). The electrodes used to monitor biopotential signals
are Ag-AgCl and gold, which require skin preparation by means of scrubbing to remove the dead cells and application of
electrolytic gel to reduce the skin contact resistance. The gels used in biopotential recordings dry out when used for
longer durations and add noise to the signals and also prolonged use of gels cause irritations and rashes to skin. Also
noises such as motion artifact and baseline wander are added to the biopotential signals as the electrode floats over the
electrolytic gel during monitoring. To overcome these drawbacks, dry electrodes are used, where the electrodes are held
against the skin surface to establish contact with the skin without the need for electrolytic fluids or gels. The major
drawback associated with the dry electrodes is the high skin-electrode impedance in the low frequency range between
0.1-120 Hz, which makes it difficult to acquire clean and noise free biopotential signals. The paper presents the design
and development of biopotential data acquisition and processing system to acquire biopotential signals from dry
electrodes. The electrode-skin-electrode- impedance (ESEI) measurements was carried out for the dry electrodes by
impedance spectroscopy. The biopotential signals are processed using an instrumentation amplifier with high CMRR and
high input impedance achieved by boot strapping the input terminals. The signals are band limited by means of a second
order Butterworth band pass filters to eliminate noise. The processed biopotential signals are digitized and transmitted
wirelessly to a remote monitoring station.
In this paper, we present the design and experimental results of wide-band composite microwave absorber fabricated
using thermoplastic polyurethane, carbon fibers, glass microballoons, micro and nano size magnetic materials. Ni-Zn
ferrite and carbonyl iron powders of nano and micrometer size particles were used along with carbon fibers and
microbaloons for the development of the absorber. It is found that both Ni-Zn ferrite and carbonyl iron powders and
their ratio in the composite plays critical role in the absorber performance. Measured results show that a reflectivity
reduction of 15 dB from 5 to 18 GHz is possible using this composite absorber.
The monitoring of biological signals generated during nerve excitation and cell-to-cell communication are important for
design and development of novel materials and methods for laboratory analysis. In-vitro biological applications such as
drug screening and cell separation also require cell-based biosensors. The sensing technology is based on the optical or
electrical read-out from the lab-on-a-chip. The electrophysiological activity of certain cells such as neurons and cardiac
cells are monitored using planar microelectrode arrays integrated with microfluidic devices. One of the main issues of
the current microelectrode array design is the difficulty in selective integration and the size dependency of its
impedances along with a large amount of noise in the circuit due to this mismatch. It is quite evident that
nanotechnology can solve these problems and an efficient electrical interconnection is possible using nanodevices. This
paper presents the design and development of planar microelectrode arrays integrated with vertically aligned nanowires
for lab-on-a-chip device applications. The higher surface area densities of such nanowire integrated microelectrode
arrays show promising results in impedance control for the integration of lab-on-a-chip devices. We have fabricated
microelectrode arrays on silicon and flexible polymer substrates and vertically aligned nanowires were fabricated onto it
using template method. High degree of specific growth is obtained by controlling the nanowire growth parameters.
Traditionally, home care for chronically ill patients and the elderly requires periodic visits to the patient's
home by doctors or healthcare personnel. During these visits, the visiting person usually records the
patient's vital signs and takes decisions as to any change in treatment and address any issues that the patient
may have. Patient monitoring systems have since changed this scenario by significantly reducing the
number of home visits while not compromising on continuous monitoring. This paper describes the design
and development of a patient monitoring systems capable of concurrent remote monitoring of 8 patient-worn
sensors: Electroencephalogram (EEG), Electrocardiogram (ECG), temperature, airflow pressure,
movement and chest expansion. These sensors provide vital signs useful for monitoring the health of
chronically ill patients and alerts can be raised if certain specified signal levels fall above or below a preset
threshold value. The data from all eight sensors are digitally transmitted to a PC or to a standalone network
appliance which relays the data through an available internet connection to the remote monitoring client.
Thus it provides a real-time rendering of the patient's health at a remote location.
In this paper, we present how the photonic properties of zinc oxide (ZnO) nanowires can be used to potentially
advance the effectiveness of Photodynamic therapy (PDT), one of the most recent and promising approaches among
cancer therapies. Presently, PDT employs laser light to activate intravenously or topically administered photosensitizers
to give rise to highly reactive singlet oxygen which has a very short lifetime and is capable of biochemical damage to
cell membranes of the tumor. A probe that can monitor in real time the penetration depth of the laser in the tumor and
also the evolution of the singlet oxygen, which is critical for tumor eradication, is capable of improving the efficacy of
PDT quite significantly. Such a probe, by providing real time feedback, can help us determine whether to increase or
decrease the light exposure dose and also if further local administration of photosensitizers is required or not. ZnO
nanowires are known to be photoconductive and recent research also demonstrated the temperature dependence of the
photocurrent in the nanowires. They are also sensitive to blue and other near UV spectra which is same range of
activation wavelengths of most photosensitizers, and hence making them a good candidate for a potential PDT
monitoring probe. ZnO nanowires were fabricated on silicon substrates by vapor phase deposition using e-beam
evaporated gold as a catalyst. Control of the dimensions of the nanowires could be achieved by varying the dimensions
of the catalyst by means of e-beam evaporation process. Photoluminescence properties of ZnO nanowires were
investigated at UV and near UV wavelengths. Further, ZnO is also known for its antimicrobial properties, thereby ruling
out any possibility of bacterial infection because of the implanted probe. This study was done to compliment the
existing expertise of our research group in the design and fabrication of several nanowire based probes and
microsensors specifically for neuroelectronic and nanomedicine applications.
Minimal invasive determinations of various physiological parameters are more and more demanding for medical
applications. Many techniques have been evolved in nanotechnology using one dimensional nanostructures to aid the
analytical tools for chemical and biosensing, disease diagnosis and treatment. Nanowire sensing probes have potential
applications not only in electronics and optoelectroncs industry, but have tremendous potential in evaluating minute
changes in cellular level, particularly for designing various sensing and diagnosis tools. A review of the development of
vertically aligned piezoelecronic nanowire arrays and 3-D nanostructures for the design of biomedical sensors for pointof-
care applications are presented in this paper. The deflections of a vertically aligned piezoelectric nanowire arrays can
be used for the generation of voltages and can be used for the measurement of various parameters such as pressure,
temperature, blood flow and glucose detection. Vertically aligned ZnO nanostructure has the advantages of generating
piezoelectric voltages that can be coupled with MEMS sensors for the development of point-of-care biosensors.
Investigation of nanorod based solar cells is being conducted towards developing alternative, lightweight, flexible
devices for commercial applications. A lot of research has been done in the area of dye sensitized solar cells in
particular, which is currently the most stable and efficient excitonic solar cell. Aligned ZnO nanorods, with their
high carrier mobilities serve as the conduction pathways for the excitons. In this paper we present seed synthesis
techniques to obtain uniform aligned ZnO nanorod arrays with good crystalline on transparent conducting substrates.
Scanning electron microscope, transmission electron microscope and electron diffraction were performed for
material characterization. A comparative study is given for these two methods.
The design and modeling of a passive radio frequency wireless identification system based on surface acoustic wave
(SAW) devices is presented in this paper. This radio frequency identification (RFID) system is developed based on the
response of the reflected phase from a SAW device which consists of two or more arrays of SAW IDTs and reflectors
with different IDT-reflector spacing. Pulse modulated signals are transmitted from a remote reader system and their
echoes are returned with different time delays due to the different IDT-reflector distances. Corresponding IF signals are
generated in a mixer and their phase differences can be used as an ID tag. Using coupled-mode theory of SAW, the
phase characteristic was examined. The effect of relative distance between the two reflector arrays is demonstrated.
Since this passive sensor is coupled with a small planar antenna, it is well suited for applications that require passive
and conformal sensors for identification and tracking.
Recent advances in nanotechnology have stimulated a renewed interest in multisite recording of electrical activity of
network of neurons, particularly using nanobiomaterials. This paper presents the simulation of electrical response of
neurons cultured on microelectrode arrays based on the electronic equivalent model using Cadence PSD 15.0. The
results were compared with those previously published models such as Kupfmuller and Jenik's model, McGrogan's
Neuron Model which are based on the Hodgkin and Huxley model. We have developed and equivalent circuit model
using discrete passive components to simulate the electrical activity of the neurons. It is observed that present equivalent
model gives more accurate results with short computation time.
Development of a taste sensor with high sensitivity, stability and selectivity is highly desirable for the food and beverage industries. The main goal of a taste sensor is to reproduce five kinds of senses of humans, which is quite difficult. The importance of knowing quality of beverages and drinking water has been recognized as a result of increase in concern in environmental pollution issues. However, no accurate measuring system appropriate for quality evaluation of beverages is available. A highly sensitive microsensor using horizontally polarized Surface Acoustic Waves (SH-SAW) for the detection and identification of soft drinks is presented in this paper. Different soft drinks were tested using this sensor and the results which could distinguish between two popular soft drinks like Pepsi and Coca cola is presented in this paper. The SH-SAW microsensors are fabricated on 36°-rotated Y cut X propagating LiTaO3 (36YX.LT) substrate. This design consists of a dual delay line configuration in which one line is free and other one is metallized and shielded. Due to high electromechanical coupling of 36YX.LT, it could detect difference in electrical properties and hence to distinguish different soft drinks. Measured electrical characteristics of these soft drinks at X-band frequency using free space system show distinguishable results. It is clear from these results that the microsensor based on 36YX.LT is an effective liquid identification system for quantifying human sensory expressions.
It is already established that functional electrical stimulation is an effective way to restore many functions of the brain in disabled individuals. The electrical stimulation can be done by using an array of electrodes. Neural probes stimulate or sense the biopotentials mainly through the exposed metal sites. These sites should be smaller relative to the spatial potential distribution so that any potential averaging in the sensing area can be avoided. At the same time, the decrease in size of these sensing sites is limited due to the increase in impedance levels and the thermal noise while decreasing its size. It is known that current density in a planar electrode is not uniform and a higher current density can be observer around the perimeter of the electrodes. Electrical measurements conducted on many nanotubes and nanowires have already proved that it could be possible to use for current density applications and the drawbacks of the present design in neural probes can be overcome by incorporating many nanotechnology solutions. In this paper we present the design and development of nanowire arrays for the neural probe for the multisite contact which has the ability to collect and analyze isolated single unit activity. An array of vertically grown nanowires is used as contact site and many of such arrays can be used for stimulating as well as recording sites. The nanolevel interaction and wireless communication solution can extend to applications involving the treatment of many neurological disorders including Parkinson’s disease, Alzheimer’s disease, spinal injuries and the treatment of blindness and paralyzed patients with minimal or no invasive surgical procedures.
This paper presents the design and development of passive wireless sensors for bio-hazard vapors in wireless sensing network, based on reflected-wave phase monitoring. Composite thin film with functionalized carbon nanotubes (f-CNT) and polymethylmethacrylate (PMMA) is employed as a sensing material on a coplanar waveguide. Resistance increase with absorption of dichloromethane gas into composite thin film is observed by resistance measurement. Phase measurement of reflected wave from resistive loads demonstrates high sensitivity using a network analyzer. Based on the radio frequency characteristics, wireless gas sensing network integrated with a circulator and two antennae is tested. Measurement results of sensors and reference loads using the wireless sensing network shows large differential phase shifts which is sufficient to monitor bio-hazards material in real-time with high sensitivity.
The design and development of wireless mocrosensor network systems for the treatment of many degenerative as well as traumatic neurological disorders is presented in this paper. Due to the advances in micro and nano sensors and wireless systems, the biomedical sensors have the potential to revolutionize many areas in healthcare systems. The integration of nanodevices with neurons that are in communication with smart microsensor systems has great potential in the treatment of many neurodegenerative brain disorders. It is well established that patients suffering from either Parkinson’s disease (PD) or Epilepsy have benefited from the advantages of implantable devices in the neural pathways of the brain to alter the undesired signals thus restoring proper function. In addition, implantable devices have successfully blocked pain signals and controlled various pelvic muscles in patients with urinary and fecal incontinence. Even though the existing technology has made a tremendous impact on controlling the deleterious effects of disease, it is still in its infancy. This paper presents solutions of many problems of today's implantable and neural-electronic interface devices by combining nanowires and microelectronics with BioMEMS and applying them at cellular level for the development of a total wireless feedback control system. The only device that will actually be implanted in this research is the electrodes. All necessary controllers will be housed in accessories that are outside the body that communicate with the implanted electrodes through tiny inductively-coupled antennas. A Parkinson disease patient can just wear a hat-system close to the implantable neural probe so that the patient is free to move around, while the sensors continually monitor, record, transmit all vital information to health care specialist. In the event of a problem, the system provides an early warning to the patient while they are still mobile thus providing them the opportunity to react and trigger the feed back system or contact a point-of-care office that can remotely control the implantable system. The remote monitoring technology can be adaptable to EEG monitoring of children with epilepsy, implantable cardioverters/defibrillators, pacemakers, chronic pain management systems, treatment for sleep disorders, patients with implantable devices for diabetes. In addition, the development of a wireless neural electronics interface to detect, transmit and analyze neural signals could help patients with spinal injuries to regain some semblance of mobile activity.
A ferroelectric thin film RF phase shifter on silicon has been designed and developed with the implementation of polysilicon and BST thin film layers on small device area (8 mm2) and fabrication processes fully compatible with current silicon IC technology. The design of a bilateral interdigital coplanar waveguide (BI-CPW) phase shifter is analyzed. This new design has shown a phase shift of 180° at 25 GHz with efficient use of a (Ba,Sr)TiO3 thin film in the bilateral interdigital finger section. Inherent insertion loss and DC current leakage caused by conductivity of silicon substrate have been investigated. Due to the implementation of polysilicon thin film on silicon, insertion loss was controlled below 6.7 dB and signal dissipation with bias increase was not observed. It is shown that the polysilicon trap layer helped to reduce surface charge accumulation on the silicon surface.
The design of a novel feedback sensor system with wireless implantable polymer MEMS sensors for detecting and wirelessly transmitting physiological data that can be used for the diagnosis and treatment of various neurological disorders, such as Parkinson's disease, epilepsy, head injury, stroke, hydrocephalus, changes in pressure, patient movements, and tremors is presented in this paper. The sensor system includes MEMS gyroscopes, accelerometers, and
pressure sensors. This feedback sensor system focuses on the development and integration of implantable systems with various wireless sensors for medical applications, particularly for the Parkinson's disease. It is easy to integrate and modify the sensor network feed back system for other neurological disorders mentioned above. The monitoring and control of tremor in Parkinson's disease can be simulated on a skeleton via wireless telemetry system communicating with electroactive polymer actuator, and microsensors attached to the skeleton hand and legs. Upon sensing any abnormal motor activity which represent the characteristic rhythmic motion of a typical Parkinson's (PD) patient, these sensors will generate necessary control pulses which will be transmitted to a hat sensor system on the skeleton head. Tiny inductively coupled antennas attached to the hat sensor system can receive these control pulses,
demodulate and deliver it to actuate the parts of the skeleton to control the abnormal motor activity. This feedback sensor system can further monitor and control depending on the amplitude of the abnormal motor activity. This microsystem offers cost effective means of monitoring and controlling of neurological disorders in real PD patients. Also, this network system offers a remote monitoring of the patients conditions without visiting doctors office or hospitals. The data can be monitored using PDA and can be accessed using internet (or cell phone). Cellular phone technology will allow a health care worker to be automatically notified if monitoring indicates an emergency situation. The main advantage of such system is that it can effectively monitor large number of patients at the same time, which
helps to compensate the present shortage of health care workers.
This paper presents the development of a Bluetooth enabled wireless tuning fork gyroscope for the biomedical applications, including gait phase detection system, human motion analysis and physical therapy. This gyroscope is capable of measuring rotation rates between -90 and 90 and it can read the rotation information using a computer. Currently, the information from a gyroscope can trigger automobile airbag deployment during rollover, improve the accuracy and reliability of GPS navigation systems and stabilize moving platforms such as automobiles, airplanes, robots, antennas, and industrial equipment. Adding wireless capability to the existing gyroscope could help to expand its applications in many areas particularly in biomedical applications, where a continuous patient monitoring is quite difficult. This wireless system provides information on several aspects of activities of patients for real-time monitoring in hospitals.
In this paper we present design, fabrication and integration of a micro fluidic cell for use with the electronic tongue. The cell was machined using microstereo lithography on a Hexanediol Diacrylate (HDDA) liquid monomer. The wet cell was designed to confine the liquid under test to the sensing area and insure complete isolation of the interdigital transducers (IDTs). The electronic tongue is a shear horizontal surface acoustic wave (SH-SAW) device. Shear horizontally polarized Love-waves are guided between transmitting and receiving IDTs, over a piezoelectric substrate, which creates an electronic oscillator effect. This device has a dual delay line configuration, which accounts for the measuring of both mechanical and electrical properties of a liquid, simultaneously, with the ability to eliminate environmental factors. The data collected is distinguished using principal components analysis in conjunction with pre-processing parameters. The experiments show that the micro fluidic cell for this electronic tongue does not affect the losses or phase of the device to any extent of concern. Experiments also show that liquids such as Strawberry Hi-C, Teriyaki Sauce, DI Water, Coca Cola, and Pepsi are distinguishable using these methods.
In this paper the design and development of a planar phase shifter on poly-Si/high resistivity silicon is presented. A new bilateral interdigital coplanar waveguide (BI-CPW) configuration has been developed to get higher effective dielectric constant than normal CPW having same dimensions. This design makes use of BaSrTiO3 thin film effectively. A new process flow has been developed to enable full compatibility with emerging SiGe/Si technology. Another important feature of this design is the inclusion of a poly-Si layer for lowering operation voltage.
This paper presents an overview of the wireless monitoring and quantitative assessment of joint dynamics of ankle which has suffered from soft tissue injury, immobilization or any dysfunction with special focus on the treatment and rehabilitation applications. The inadequacy of a reliable and easy method for continuous measurement and recording of ankle movement while doing physical therapy makes the monitoring of its progress difficult. Development of a wireless ankle motion monitoring system inside the shoe provides information on several aspects of activities associated with a dysfunctional foot. The system is based on continuous wireless monitoring of signals from accelerometers and gyroscopes fixed inside the shoe. From these signals, the duration, rate, and moment of occurrence of activities associated with mobility (e.g., lying, sitting, standing, walking up and down, running, cycling, wheelchair use and general movement) and transitions (changes in angle) can be detected. Information about the movement can be obtained by the acceleration sensors, which is related to the intensity of body-segment movement. Apart from monitoring accelerations, other signals due to turning and angular movements can be obtained using the miniature gyroscope attached to the shoe.
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