Kartik Bharadwaj

Bio: Kartik Bharadwaj is an academic researcher from VIT University. The author has contributed to research in topics: Vital signs & Vocal loading. The author has an hindex of 1, co-authored 2 publications receiving 4 citations.

Wi-Fi-Based Low-Cost Monitoring of ECG and Temperature Parameters Using Arduino and ThingSpeak

Abstract: Health monitoring is one of the most important parameters to diagnose a patient, and it can be done in many ways. Temperature monitoring and pulse rate of a patient is one of the ways. Temperature sensor and pulse rate sensor have been used to get the physiological data from a patient’s body. These data can be used to monitor the health of the patient. The acquired data is then sent to a website server from which the doctors can check the patient’s vital signs anytime. Therefore, low-cost monitoring can be used in remote areas where people are not able to afford the healthcare. Future improvement can be done by sending an email containing the status of the health parameters to the doctor in case of emergency.

Development of a System for Quantitative Assessment of Vocal Loading

Abstract: Great vocal well-being is a key worry to proficient voice clients such ad instructors and artists. Consequently, to improve the utilization of voice and appropriate recovery to reestablish vocal well-being is the need of the day. A framework has been created to give a way to quantitative vocal stacking appraisal for the avoidance of voice issues. The advancements in signal processing have helped us to achieve this goal. Time dose, cycle dose, energy dose, and distance dose are the vital voice dosage measures citied in writing. The initial two measurements are ascertained in the study. The parameters which determine these measurements are voicing time, fundamental frequency of speech, and intensity of speech. Silence/unvoiced/voiced classification of speech signal has been done. The fundamental frequency has been extracted by cepstrum analysis. Voice doses are calculated using the above parameters, and tests are done on male and female audio samples. In this study, MATLAB platform is used for speech signal recording as well as analysis.

Occupational voice is a work in progress: active risk management, habilitation and rehabilitation

Abstract: Purpose of review The current article reviews recent literature examining occupational voice use and occupational voice disorders (January 2018-July 2019). Recent findings Our understanding of the prevalence of voice disorders and work-related vocal use, vocal load and vocal ergonomics (environmental and person influences) across different occupations is continuing to build. There is encouraging evidence for the value of intervention programs for occupational voice users, particularly of late with performers, teachers and telemarketers. Education and prevention programs are emerging for other 'at risk' occupations. Summary Occupational health and workforce legislation does not adequately acknowledge and guide educational, preventive and intervention approaches to occupational voice disorders. Voice disorders are prevalent in certain occupations and there is an urgent need for research to support occupational voice health and safety risk measurement, prevention and intervention. Large population-based studies are required with a focus on the health and economic burden of occupational voice disorders.

Measuring Biosignals with Single Circuit Boards

Abstract: To measure biosignals constantly, using textile-integrated or even textile-based electrodes and miniaturized electronics, is ideal to provide maximum comfort for patients or athletes during monitoring. While in former times, this was usually solved by integrating specialized electronics into garments, either connected to a handheld computer or including a wireless data transfer option, nowadays increasingly smaller single circuit boards are available, e.g., single-board computers such as Raspberry Pi or microcontrollers such as Arduino, in various shapes and dimensions. This review gives an overview of studies found in the recent scientific literature, reporting measurements of biosignals such as ECG, EMG, sweat and other health-related parameters by single circuit boards, showing new possibilities offered by Arduino, Raspberry Pi etc. in the mobile long-term acquisition of biosignals. The review concentrates on the electronics, not on textile electrodes about which several review papers are available.

A Power Model for Monitoring Environmental Parameters on the Edge

Abstract: In the Internet of Things, connected devices capture real-time data which is sent to the Fog or Cloud layer for processing. The transfer of large data volumes is subject to latency and variable transfer rates. Edge computing is an emerging trend that aims at processing data nearer to its source thereby reducing data transfer and the need for continuous connectivity. The main contribution of this paper is to investigate the power requirements of a battery-powered Raspberry Pi which acts as an Edge node. The latter monitors essential environmental parameters such as air temperature, air humidity, soil moisture and light intensity. The sensors are connected to an Arduino interfaced with the Raspberry Pi. A software-based power model relative to CPU utilization is proposed to measure the power consumption of the Raspberry Pi. A Java program is used to capture and save the sensor values in a database for further analysis. Experiments demonstrate that the power usage increases linearly with CPU utilization. The proposed power model has a root mean squared error of 0.023 and 0.036 respectively when one and two Arduinos are connected. The power requirement of a single Raspberry Pi with four Arduinos is estimated to be 2.58 Watt when the Java process is running. It is also projected that a 6,500 mAh battery can power this type of environmental setup that monitors plant growth for 12 hours.