Anoop Lal Vyas

Monitoring heart disease and diabetes with mobile internet communications

A telemedicine system is described for monitoring vital signs and general health indicators of patients with cardiac and diabetic conditions. Telemetry from wireless sensors and readings from other instruments are combined into a comprehensive set of measured patient parameters. Using a combination of mobile device applications and web browser, the data can be stored, accessed, and displayed using mobile internet communications to the central server. As an extra layer of security in the data transmission, information embedded in the data is used in its verification. The paper highlights features that could be enhanced from previous systems by using alternative components or methods.

Radial pulse analysis at deep pressure in abnormal health conditions

Radial pulse analysis is popular as complementary approach for health diagnosis in India and China. Three pulse pressure signals on the two hands carry rich information about health status. Pressure applied while observing the pulse signal plays an important role in the analysis of the body conditions based on dynamic nature of the pulse signal. Deep pressure is the pressure applied on pulse point prior to complete obstruction of radial artery. Pulse morphologies for deep pressure in abnormal health conditions are studied for the group of subjects suffering from chronic gastritis, arthritis and prostate enlargement. Two abnormal pulse patterns have been identified relating to the characteristics of dicrotic notch at deep pressure and the dynamics of pulse segment in the late diastole phase of the pulse. These new abnormal pulse patterns are identified with their correlation to abnormal status. Time domain quantification parameters namely Dicrotic Notch Suppression Ratio (DNSR) and BAD Notch Ratio are defined to identify their presence.

Performance evaluation of a low power solar-PV energy system with SEPIC converter

This paper presents the design and performance of a low power stand-alone solar photovoltaic (PV) energy generating system. The system is designed considering solar-PV panels of 750W to feed an average load demand of 250W for a rural household. The system includes series-parallel combination of solar panels, MPPT (maximum power point tracking) controller, a dc-dc converter, an energy storage system and a single-phase VSI (voltage source inverter). A dc-dc converter is providing a constant dc bus voltage and its duty cycle is controlled by the MPPT controller. A modified incremental conductance approach is utilized for MPPT. In this approach, MPPT controller automatically generates a PWM signal for the dc-dc converter to extract maximum power. To maintain the power quality a feedback control is used in the VSI. The complete system is designed, and modeled to evaluate its performance. Simulated results are presented to demonstrate the performance of the MPPT controller and designed system for varying atmosphere conditions and load disturbances.

Analysis and design of isolated solar-PV energy generating system

This paper deals with the design, control and modeling of an isolated solar-PV (Photo-Voltaic) energy generating system. The proposed system is designed for supplying an average consumer load of 1.5 kW. A constant voltage method is applied to the PV array for MPPT (Maximum Power Point Tracking). A push-pull boost dc-dc converter is fed from the PV array for charging the battery. A VSI (Voltage Source Inverter) utilizing multi-loop feedback control technique with a BESS (Battery Energy Storage System) is used for power management of the proposed system. This solar-PV energy generating system is designed, modeled and its performance is simulated in the Matlab using the Simulink, Sim power system etc. toolboxes. Simulated results are presented for the linear, nonlinear and motor loads to demonstrate its performance.

Wrist pulse signal classification for health diagnosis

Ancient Indian and Chinese medicine both use non-invasive wrist pulse signals for health diagnosis of patients. In this paper, data obtained from a number of patients have been used to categorize the types of pulse signals that are found in both normal and abnormal health conditions. Features were extracted from the pulse signals using both frequency and wavelet transformations and these were then ranked according to their classification power for multiclass classifier design. Linear and quadratic pulse classifiers are proposed with raw features as well as subset of ranked features. Linear classifier has found to be giving highest classification accuracy of 73.82% using 4 ranked features.

Development of m-health monitoring systems in India and Iraq

Two separate projects have been carried out to implement m-health programs in India and Iraq, and, for each, this paper describes the work performed by the teams involved, presents results and details a number of lessons learned. In general, it is found that although India and Iraq have very different medical priorities, they pose similar issues when introducing m-health strategies.

Frequency domain analysis of radial pulse in abnormal health conditions

Radial pulse has been utilized to identify health status in Indian and Chinese complementary medicine approaches. The radial pulse signal in abnormal health conditions show variations in its morphology in comparison to that of the healthy subjects, resulting in changes in the pulse power spectrum. Comparison between the power spectrum of pulse signal for the subjects suffering from gastrointestinal disorders and healthy subjects has been carried out in this work. A frequency domain feature “Band Energy Ratio (BER)” has been defined to identify the band of frequencies carrying significant difference between these two groups. Abnormal bands showing significant elevation of energies has been identified as 4Hz to 10Hz band. Based on Receiver Operating Characteristics (ROC) analysis, 8 Hz to 10 Hz band has been identified carrying further significance giving 89.7% sensitivity, 90.5% specificity and 90% accuracy as optimum parameters to segregate the two groups.

Design and control of variable speed Wind Energy Conversion System employing PMBLDC generator

This paper deals with the design, modeling and control of a variable speed Wind Energy Conversion System (WECS) consisting of a permanent magnet brushless DC (PMBLDC) generator, a rectifier, a push-pull converter and a voltage source inverter (VSI) and the maximum power point tracking (MPPT) controller. The proposed mechanical sensorless MPPT controller uses output voltage and current of the rectifier. The duty ratio of an isolated push-pull converter is controlled using a MPPT controller. The system is designed, modeled and its simulation is carried out in Matlab-Simulink environment for feeding an average consumer load of 1 kW, at 230 V, 50 Hz AC supply using a voltage source inverter (VSI). Simulated results are given to validate the performance of designed MPPT controller under varying wind speeds. The power quality at the output voltage across the loads is maintained using an output voltage controller, which regulates the output voltage under different types of consumer loads.

Mobile communications for monitoring heart disease and diabetes

This paper describes a practical development project to enable the monitoring of vital signs data obtained from patients located in remote rural locations. The data are gathered from a wireless network of sensors attached to a patients body and stored locally for secure transmission over existing communication infrastructures to a hospital server. Clinicians are then able to monitor the patient offline and upload diagnoses.

Analysis, design and control of a standalone hybrid renewable energy conversion system

This paper deals with the analysis, design and control of a proposed standalone hybrid renewable energy conversion system based on solar and wind energy sources employing a full bridge dc-dc converter and a Permanent Magnet Brush-Less DC (PMBLDC) generator. The proposed MPPT (Maximum Power Point Tracking) controllers of solar-PV (Photo-Voltaic) array and WECS (Wind Energy Conversion System) are operating on P&O (Perturb and Observation) based on FLC (Fuzzy Logic Control) method. It requires the sensing of the dc voltage and current output of solar-PV and the rectified output voltage of PMBLDC generator driven by a wind turbine. The power quality is maintained at the load end by using an output voltage controller of the VSI (Voltage Source Inverter) and the load leveling is implemented through the battery. The model of the system is developed in Matlab and capability of designed MPPT control is investigated during varying solar insolation and wind speeds. Simulation results are presented to demonstrate the performance of proposed system.