GSM Based Physiological Monitoring of Patient by Using Zigbee

Rajendran, V. G.; Jayalalitha, S.; Anushaa, R.; Karpagalakshmi, S.; Karthikeyan, S.

doi:10.17654/ec03010033

Cited by 6 publications

(4 citation statements)

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“…In the advancement of the medical field, now a day's people were aware of many medical instruments such as digital thermometers to know about the body temperature, digital pulse oximeter to measure pulse rate (BPM), oxygen saturation level (SpO2), and Perfusion Index (PI), portable blood pressure monitor device to measure the systole and diastole blood pressure level, and blood glucose meter to check the blood sugar level. Also, a wireless remote-based medical system for health care systems plays a major role during pandemic situations [5]. Evaluation of stress was carried out by using sweat, heart rate variability, and salivary cortisol as biomarkers [6].…”

Section: Introductionmentioning

confidence: 99%

A Review on Mental Stress Detection Using PSS Method and EEG Signal Method

Rajendran¹,

Jayalalitha²,

Adalarasu³

et al. 2022

ECS Trans.

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As the world facing COVID-19 crisis during 2020, more than 38.8 lakhs of human death as per the report from the World Health Organization (WHO) on June 2021. Because of this pandemic, worldwide people are restricted to travel, meeting, or gathering a group of people. Most of the people working from home and students’ education are carried out through the online system. The stress caused in a person may depends upon different factors, such as spending more time in online classes by watching the mobile phone, due to lack of interaction with others, insufficient money to survive, job insecurity, and other reasons. This kind of above reason may lead to a long-term stress that leads to suicidal thoughts in human. In order to reduce the suicide rate, it is important to analyze the level of stress in human beings. In this paperwork, a survey for stress measurement among human beings was carried out by two methods such as Perceived Stress Scale (PSS) and also by using the physiological signal as Electroencephalogram (EEG) discussed. The advantages and drawbacks of the PSS method and EEG signal method for the detection of stress measurement are discussed in this paper.

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Section: Introductionmentioning

confidence: 99%

A Review on Mental Stress Detection Using PSS Method and EEG Signal Method

Rajendran¹,

Jayalalitha²,

Adalarasu³

et al. 2022

ECS Trans.

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“…When the user is in critical condition, then a warning notification is issued to medical practitioner's mobile phone through internet. The result is claimed helps the doctors to monitor the health condition of the patient almost everytime and provide proper treatment at the critical time [21].…”

Section: Introductionmentioning

confidence: 99%

Fit-NES: wearable bracelet for heart rate monitoring

Sani¹,

Mutiara²,

Putra³

2019

TELKOMNIKA

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The heart is a vital organ that serves to pump blood to the whole body. A heart rate can be used as a healthy body parameter conditions. Growing evidence suggests that IT-based health records play essential role to drive medical revolution especially on data storage and processing. The heart rate measurement (HRM) process usually involves wearable sensor devices to record patient's data. This data is recorded to help the doctors to analyze and provide a better diagnose in order to determine the best treatment for the patients. Connecting the sensor system through a wireless network to a cloud server will enable the doctor to monitor remotely. This paper presents fit-NES wearable bracelet, an alternative method for integrating a HR measurement device using optical based pulse sensor and Bluetooth-based communication module. This paper is also present the benchmarking of proposed system with several various commercial HR measurement devices.

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“…Other, implementation using FPGA includes particle swarm optimization technique for placement problem [6] and improved Algorithm for Objects Distance Measurement in image Processing [3]. A portable system [7,8] implemented using microcontroller that is capable of transmitting ECG signal to a remote PC for analysis was implemented. A smart diagnostic system [9] using FPGA that performs analysis on the criticality of a cardiac patient was analysed using FPGA.…”

Section: Introductionmentioning

confidence: 99%

“…A lot of literature is found earlier that uses FPGA for the analysis of ECE signal. Few of them includes, ECG feature extraction [12] in real time; a robust QRS detection system [13] based; ECG monitoring device [14] that functions in Bluetooth frequency; design of Finite Impulse response filter for the removal of noise [8]; Implementation of wavelet fuzzy for Arrhythmia classification in ECG signal using wavelet fuzzy [15] was carried out. The advantage of the above system was that a remote central management unit receives the patient's bio signals but a drawback is that acquired signal is not processed at the patients end and no online analysis was performed.…”

Section: Introductionmentioning

confidence: 99%

Design of FPGA based NIOS-II Soft Core Processor for a wearable Tele Cardiac System

Kavya¹

2017

IJASE

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ABSTRACT:Recently, the application fields of the embedded system have got expanded and the system complexity got increased. This has led to the need of high performance applications that use System on a programmable chip (SoPC). The integration of several hardware modules on a single chip is called SoPC, a single chip solution. This paper deals with the design of Nios II soft core processor using Qsys technology for a Telemedicine application. A soft-core processor is the central component of a system defined in software that can be synthesized in Programmable hardware called FPGAs. The design of SoPC for a Telecardiac system is done using Quartus II-Qsys system. Here the application of the system is validated on an Altera cyclone IV series FPGA chip. As the Qsys technology is used, the system provides high integration, high design flexibility, small volume and low power consumption. The system is configured by NIOS soft core CPU using Verilog HDL and C language. The proposed system can be used in Bio-Medicine (measuring various parameters using softcore) and control systems, etc. This paper discusses one such application in which continuous acquisition and analyzes of the acquired ECG signal is performed using a soft core Nios II processor implemented in Altera DE0 Nano FPGA board; and if any abnormality detected a SMS with calculated beat per minute and patient's location is sent to the caretaker or doctor through a GSM module. The major contribution in this work is that baseband operations of GSM module and GPS receiver are performed in separate soft processors and they are implemented in the same FPGA board.

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GSM Based Physiological Monitoring of Patient by Using Zigbee

Cited by 6 publications

References 0 publications

A Review on Mental Stress Detection Using PSS Method and EEG Signal Method

A Review on Mental Stress Detection Using PSS Method and EEG Signal Method

Fit-NES: wearable bracelet for heart rate monitoring

Design of FPGA based NIOS-II Soft Core Processor for a wearable Tele Cardiac System

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