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CODE	PROJECT TITLE	ABSTRACT	YEAR
BMP01	Magneto-elastic Sensors for the Detections of Pulse Waves	This Project describes about the Arterial pulse is known since ancient times as a fundamental sign of life, its changes being associated with health changes and disease. The plethysmography (i.e., the determination of the variation in size of a body part due to fluctuations in the amount of air or blood) is the basic method for noninvasive clinical measurement of the arterial pulse. At the skin level, the size fluctuations are determined by the systemic arterial pressure pulse, generated when the blood is ejected from the left ventricle in the arterial system. The pulse waveform and pulse wave velocity can provide valuable information about heart rate and blood vessel health. A new type of sensor with high capability for arterial pulse wave detection is proposed by this paper.	2013
BMP02	Experimental Investigation of the Roles of Blood Volume and Density in Finger Photoplethysmography	This paper introduces a new method of Finger Photoplethysmography which defines the Blood volume. Health monitoring is crucial for the survival of the ill and fragile people admitted at the intensive care unit (ICU) in a hospital. Using simultaneous photoplethysmogram (PPG) and pulse transducer signals from the same finger, a high correlation is obtained between the AC part of the PPG and estimated volume changes (after normalization). These results point to the fact that in the resting fingertip, PPG signal variations are only due to volume changes and that blood density does not change thus has no contribution. is a simple and low cost method to assess cardiovascular related parameters such as heart rate, pulse transit time and blood oxygen saturation.	2013
BMP03	An In-home Medication Management Solution Based on Intelligent Packaging and Ubiquitous Sensing	This paper presents, Pervasive healthcare has been recognized to be the next generation form of healthcare, and distributed, patient-centric and self-managed care is emphasized as an alternative to the traditional hospitalized, staff-centric and professional-managed care. Many projects and initiatives have been devoted in this strategic and promising area. Unfortunately, the concern to prescription medication noncompliance, which is a basic form of self-managed care, is not sufficient in these research activities. A frequently cited fact is: medication noncompliance costs the United States healthcare system up to $100 billion per year, and it is the cause of approximately 11% of US annual hospitalizations.  It has been proven that, for the 4 most drug-spending chronic conditions (diabetes, hypertension, hypercholesterolemia, and congestive heart failure), hospitalization rates are significantly lower for patients with higher medication compliance.	2013
BMP04	Pervasive Assessment of Motor Function: A Lightweight Grip Strength Tracking System	This paper introduces a lightweight and inexpensive handgrip device that collects multi-dimensional sensory data associated with motor characteristics of individuals with upper limb deficits. Furthermore, a data analytic framework with associated algorithms for individuals’ ailment classification, disease severity quantification, and specification of physical symptoms is discussed. The effectiveness of the proposed movement performance assessment framework is demonstrated through a dataset gathered in a clinical trial performed at St. Vincent Medical Center in Los Angeles, USA. Furthermore, medical treatments available for movement disorders are typically a combination of medication, surgical operation, and rehabilitation. These treatments are often evaluated by measuring the motor performance of the patients before and after the specific service (e.g., surgery), again, based on human observations	2013
BMP05	Wireless Recording Systems: From Noninvasive EEG-NIRS toInvasive EEG Devices	This paper presents about the Human brain signal recording is important for both research purposes and assessment of various neurological disorders. For example, EEG is the current method of choice to visualize abnormal epileptiform discharges in patients with epilepsy. Continuous EEG monitoring is commonly used for the diagnosis and monitoring of convulsive or non-convulsive status epilepticus and assessment of ongoing therapy for the treatment of seizures in such patients. Some patients may benefit from epilepsy surgery if the epileptogenic zone (EZ) can be identified and resected without harm. There are two steps for epileptogenic zone localization: a) noninvasive and b) invasive brain signal monitoring. The noninvasive monitoring can roughly estimate seizure activation region. Moreover, due to the limited spatial or temporal resolution of currently available noninvasive localization techniques, accurate delineation of the EZ may sometimes be arduous, particularly with non-lesional refractory epilepsy. Long-term invasive monitoring, over 2–3 weeks, are performed in epilepsy centers to record seizures in order to delineate the area of seizure onset for curative resection and low-noise preamplifiers would be beneficiary for this application.	2013
BMP06	Wavelet Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Systems	This paper presents, number of elderly patients is increasing dramatically due to the recent medical advancements. Accordingly, to reduce the medical labor cost, the use of remote healthcare monitoring systems and Point-of-Care (PoC) technologies have become popular . Monitoring patients at their home can drastically reduce the increasing traffic at hospitals and medical centres. However, Remote health care systems are used in large geographical areas essentially for monitoring purposes, and, the Internet represents the main communication channel used to exchange information. Typically, patient biological signals and other physiological readings are collected using body sensors. Next, the collected signals are sent to the patient PDA device for further processing or diagnoses. Finally, the signals and patient confidential information as well as diagnoses report or any urgent alerts are sent to the central hospital servers via the Internet. Doctors can check those biomedical signals and possibly make a decision in case of an emergency from anywhere using any device	2013
BMP07	Bluetooth Electrocardiogram	The paper presents, the most cases of heart disease in India manifested after the age of 70: however, over the past seven to eight years, heart disease has emerged as a major cause of death in urban as well as in rural areas, killing people as young as 25. Most of these people, especially in rural areas of India, do not know they have a cardiovascular disease (CVD) because access to testing facilities is not widely available. Another problem in India is the lack of cardiologists in many cities to treat patients once they have developed heart disease.	2013
BMP08	A Pervasive Health System Integrating Patient Monitoring, Status Logging, and Social Sharing	This paper presents, about the Pervasive health systems concern the provision of healthcare services to anyone, anytime, and anywhere by removing location, time and other restraints, while increasing both their coverage and quality. Lately, a number of such systems and tools have been demonstrated, focusing particularly on health monitoring and information management by the patient himself/herself. This notion of “self-management” has been associated with efficient disease management, enhancing the patient’s role and participation in healthcare services delivery. The patients’ central role in the management of their health has been indicated by a number of educational programs aiming to provide them with skills and knowledge, in order to cope with their diseases. Especially, chronic patients may be benefited from self-management activities, in terms of understanding better their disease, enhancing their communication with their doctor, increasing their self-confidence, and so forth.	2013
BMP09	Development of a Wireless Sensor for the Measurement of Chicken Blood Flow Using the Laser Doppler Blood Flow Meter Technique	This work presents a common practice to measure human health information such as blood pressure, heart rate, and electrocardiogram (ECG) to detect health problems. This information is also utilized to define standards of human health. Motivated by these broad and important applications, we developed a sensor based on microelectromechanical systems (MEMS) techniques using laser Doppler flowmetry(LDF) as a noninvasive method of measuring blood flow. The MEMS-LDFsensor is equipped with an integrated laser Doppler blood flow meter, as suggested by Kimura. The sensor size is approximately 3mm2 and the use of MEMS enables dramatically reduced power consumption. In studying blood flow data, we found strong evidence that blood flow is related to biomedical signals in humans, such as sympathetic and parasympathetic-related feelings, emotions, and drowsiness.	2013
BMP10	A Framework for Daily Activity Monitoring and Fall Detection Based on Surface Electromyography and Accelerometer Signals	As an essential branch of context awareness, activity awareness, especially daily activity monitoring and fall detection, is important to healthcare for the elderly and patients with chronic diseases. In this paper, a framework for activity awareness using surface electromyography and accelerometer (ACC) signals is proposed. First, histogram negative entropy was employed to determine the start- and end-points of static and dynamic active segments. Then, the angle of each ACC axis was calculated to indicate body postures, which assisted with sorting dynamic activities into two categories: dynamic gait activities and dynamic transition ones, by judging whether the pre- and post-postures are both standing. Next, the dynamic gait activities were identified by the double-stream hidden Markov models. Besides, the dynamic transition activities were distinguished into normal transition activities and falls by resultant ACC amplitude. Finally, a continuous daily activity monitoring and fall detection scheme was performed with the recognition accuracy over 98%, demonstrating the excellent fall detection performance and the great feasibility of the proposed method in daily activities awareness.	2013
BMP11	Multivariate Prediction of Subcutaneous Glucose Concentration in Type 1 Diabetes Patients Based on Support Vector Regression	This paper presents, the homeostatic regulation of glucose concentration in the blood stream is primarily controlled by the action of two pancreatic hormones, insulin and glucagon. Type 1 diabetes is caused by a cellular-mediated autoimmune destruction of the β-cells in the pancreas leading to absolute deficiency of insulin secretion and, consequently, to elevated blood glucose concentration. The chronic hyperglycemia of diabetes is associated with long-term microvascular(diabetic neuropathy, nephropathy, and retinopathy) and macrovascular complications (coronary artery disease, peripheral arterial disease, and stroke), rendering diabetes as a leading cause of morbidity and mortality worldwide. Patients on IIS are more likely to experience hypoglycemia: however this side effect can be mitigated by self-monitoring their blood glucose frequently throughout the day.	2013
BMP12	A Minimally Invasive Implantable Wireless Pressure Sensor for Continuous IOP Monitoring	This paper presents, the second leading cause of blindness, is most accurately defined as a collection of diseases that have in common, damage to the optic nerve and loss of visual field with increased intraocular pressure (IOP) being the primary risk factor. According to National Institutes of Health (NIH) approximately 120 000 Americans are blind from glaucoma which accounts for 9–12% of all cases of blindness in the U.S.Worldwide 79.6 million people are expected to suffer from glaucoma by 2020 increasing from 60.5 million in 2010. Although there are treatments available, there is a need to develop improved diagnostic and therapeutic techniques to fight this disease. Increased IOP is one of the primary factors used to diagnose glaucoma and is also a clinically significant risk factor for its progression. Goldmann tonometry performed during the office visit is considered to be the gold standard for the measurement of IOP. However, given that IOP fluctuates over time, a single office visit gives only a snapshot of what the true IOP is between measurements, which is often weeks or months depending on the patient.	2013
BMP13	Brain Computer Interface-Based Smart Living Environmental Auto-Adjustment Control System in Upnp Home Networking	A brain computer interface-based smart living environmental auto-adjustment control system (BSLEACS) is proposed in this paper. Recently, many environmental control systems have been proposed to improve human quality of life.However, little research has focused on environmental control directly using the human physiological state. Based on the advantage of our technique on brain computer interface (BCI), we integrated the BCI technique with universal plug and play (UPnP) home networking for smart house applications. BSLEACS mainly consists of a wireless physiological signal acquisition module, an embedded signal processing module, a simple control protocol/power line communication environmental controller, and a host system. Here, the physiological signal acquisition module and embedded signal processing module were designed for long-term electroencephalogram (EEG) monitoring and backend analysis, respectively.The advantages of low power consumption and small volume of the above modules are suitable for smart house applications in daily life. Moreover, different from other BCI systems, the property of using only a single EEG channel to monitor cognitive state also makes BSLEACS become more practicable. BSLEACS has been verified in a practical demo room, and the environmental adjustment can be automatically controlled by the change of the user’s cognitive state. BSLEACS provides a novel system prototype for environmental control, and can be simply extended and integrated with the UPnP home networking for other applications	2012
BMP14	A Zigbee Based Wearable Physiological Parameters Monitoring System.	Wearable physiological monitoring system consists of an array of sensors embedded into the fabric of the wearer to continuously monitor the physiological parameters and transmit wireless to a remote monitoring station. At the remote monitoring station the data is correlated to study the overall health status of the wearer. In the conventional wearable physiological monitoring system, the sensors are integrated at specific locations on the vest and are interconnected to the wearable data acquisition hardware by wires woven into the fabric. The drawbacks associated with these systems are the cables woven in the fabric pickup noise such as power line interference and signals from nearby radiating sources and thereby corrupting the physiological signals. Also repositioning the sensors in the fabric is difficult once integrated. The problems can be overcome by the use of physiological sensors with miniaturized electronics to condition, process, digitize and wireless transmission integrated into the single module. These sensors are strategically placed at various locations on the vest. Number of sensors integrated into the fabric form a network (Personal Area Network) and interacts with the human system to acquire and transmit the physiological data to a wearable data acquisition system. The wearable data acquisition hardware collects the data from various sensors and transmits the processed data to  the remote monitoring station. The paper discusses wireless sensor network and its application to wearable physiological monitoring and its applications. Also the problems associated with conventional wearable physiological monitoring are discussed.	2012