Beat Sensor Research Articles

Review on Pregnancy Progress Monitoring

This project outlines the creation of an innovative pregnancy progress monitoring system leveraging cutting-edge sensor technology and artificial intelligence (AI) models. This project presents an integrated system designed to revolutionize the monitoring of pregnancy progression through a sophisticated fusion of sensor technology and artificial intelligence (AI). The collaborative functionality of DS18B20 temperature sensors, heart beat sensor, and GSM modules establishes a seamless data collection and transmission framework. These sensors continuously capture vital parameters including body temperature, heart rate, and blood oxygen saturation, while the GSM module ensures secure and real-time transmission of this data to designated servers or caregivers’ devices. Leveraging AI-driven algorithms, the system interprets these multifaceted datasets, employing pattern recognition and anomaly detection to discern potential health irregularities. The intuitive user interface grants caregivers comprehensive access to visualized data, facilitating proactive monitoring and swift response through customizable alerts for critical health indicators. This innovative solution undergoes iterative development and validation, seeking to redefine prenatal care by enabling early identification of deviations and fostering informed decision-making among medical practitioners and expectant parents. By amalgamating sensor technology with AI capabilities, this system aspires to enhance the safety and well-being of both mother and fetus, marking a paradigm shift in prenatal health monitoring and intervention strategies.

PATIENT MONITORING HUMANOID ROBOT FOR PANDEMIC SITUATIONS

Humanoid robots are a rapidly evolving field of research and development that aims to create robots with human- l ike characteristics and capabilities. These robots possess a wide range of applications, from assisting humans in various tasks to exploring environments that are hazardous or inaccessible to humans. The development of humanoid robot involves the integration of advanced technologies, including robotics, artificial intelligence, computer vision, and natural language processing. This abstract explores the key aspects of humanoid robots, including their design, locomotion, perception, cognition, and interaction capabilities. It discusses the challenges involved in creating humanoid robots that can navigate complex environments, recognize and manipulate objects, understand and respond to human speech and gestures, and exhibit social behaviours. The abstract also highlights the potential benefits and ethical considerations associated with humanoid robots, such as their role in healthcare, education, e n t e r t a i n m e n t , a n d d i s a s t e r r e s p o n s e . Furthermore, the abstract addresses ongoing research efforts and technological advancements in the field of humanoid robotics, including the development of more dexterous and agile robot improvements in human- robot interaction, and the integration of machine learning and deep learning techniques. It emphasizes the importance of interdisciplinary collaboration and the need for robust hardware and software solutions to overcome the challenges faced in creating humanoid robots. Keywords—ATmega8 microcontroller, DHT Sensors, Heart Beat Sensor,LCD.

ECMR 4-01 - Beat Sensor Gating in Action - Application and Experience in Adult Clinical CMR Acquisition

ECMR 4-01 - Beat Sensor Gating in Action - Application and Experience in Adult Clinical CMR Acquisition

AUTOMATIC MEDICAL DISPATCHER WITH DYNAMIC TELEMONITORING SYSTEM USING IOT IN RURAL AREAS

Tracking good doctors for treatment in rural areas is a very difficult job, they have to travel all the way to nearby towns or cities. Therefore, Anytime Medical Machine (AMM) is completely IOT based project and can be even considered as the IOMT (IOT based medical devices) and its primary deployment in rural areas. Using the AMM people will get quality consultation with good doctors on spot without travelling all the way to the cities. The doctor provides medicines and prescription for the patients through AMM which reduces the time consumption and expenses of travelling to the nearby cities. It collects patient data using Temperature sensor, Heart Beat sensor and SPO2 sensor, and sending the collected data of the patient to the doctor through wi-fi module. Interaction between the doctor and the patient is done by using video conferencing, which is secured by the login page with username and password dedicated to each user to avoid the misuse of the AMM. Finally, the Doctor analyzes the patient’s health parameters and suggests the appropriate medicine that will be dispatched through AMM. The patient's information is uploaded to the cloud server for future references. Admin re-fills the medicines in AMM. KeyWords: AMM, Medicine Dispatcher, Telemonitoring, Cloud Storage.

Smart Safety Monitoring System for Sewage Workers

Most of the cities adopted the underground drainage system and it’s the duty of Municipal Corporation to maintain cleanliness, healthy and safety of cities. If the drainage system is not properly managed then pure water gets contaminate with drainage water and infectious diseases may get spread. Drainage cleaning people are not aware of risk by sudden attack of poisonous gas since the gases are odorless if exposed for long time which may cause serious health problems. Due to the lack of using proper gas leakage detection system, a number of dangerous accidents occurred during the last few decades. To overcome all these problems effective monitoring system is needed in the drainage channels. The detected system is proposed with gas sensors like Carbon Monoxide, Hydrogen sulphide sensors and Methane, one Heart Beat sensor used to calculate the pulse rate of Human. Carbon Monoxide, Hydrogen sulphide, Methane gases are highly toxic to human hence the proposed system will gives alert through the LCD Display after reaching the threshold level of each gas sensors then people gets alerts Heart Beat sensor will calculate the range of the Pulse rate then output at the abnormal range will give alert through notification through an IOT.

Monitoring for Heart Attacks with the Use of Internet of Things and Heartbeat Sensing

We as a whole realize coronary episode can kill your life in 3 endeavours yet presently a days it tends to be perilous in first endeavour too. In the event that really taking a look at our wellbeing routinely on regular schedule, we can recognize such countless various sicknesses by distinguishing them already, Life is valuable. Many individuals among us lose their life to coronary episode. This is a result of their eating routine, mature, less actual work and numerous different variables. Respiratory failure isn't simple to distinguish, To survive and help our general public from heart sicknesses and assault, we are growing such a framework which will assist with diminishing the demise rate and early identification a heart assault. In this framework we are executing a heart beat observing and respiratory failure location framework utilizing the Web of Things. The sensor is then interacted to a microcontroller that permits checking pulse readings and sending them over Web. The client might set the high as well as low degree of heart beat limit. In the wake of drawing these lines, the framework begins checking and furthermore alarms for lower pulses. For this the framework utilizes two circuits. One is the sending circuit which is with the patient and the other is the collector circuit which is being administered by the specialist or nurture. The framework utilizes heart beat sensor to find out the ongoing heart beat level and show it on the LCD screen. Key Words: Heart beat sensing, Heart Attack Detection, Internet of Things(IoT),Heart beat sensor, ECG...

FRAMEWORK FOR TOUCHLESS PATIENT MONITORING SYSTEM INTEGRATING ULTRA-WIDEBAND RADAR AND INTERNET OF THINGS FOR COVID-19 PATIENTS

Effective Health monitoring and patient monitoring system is an inevitable need for the present world with the rapid increase of affected people due to various chronic diseases. Monitoring various health parameters like body temperature, blood pressure, heart beat, oxygen level and sugar level is very important to be proactive against chronic and pandemic diseases. Internet of Things (IoT) has gained a great interest in the health care sector through different wearable sensor devices. Monitoring the patients is a great challenge during pandemic diseases since the doctors and other medical practitioners were exposed to risk. This paper presents a novel touchless health and patient monitoring system (THPMS) embedding ultra-wide band (UWB) and IoT technologies for effective monitoring of COVID-19 patients. The IoT module is specifically designed for health monitoring whereas as UWB radar is designated for effective touchless patient monitoring. The IoT module comprises of temperature sensor, heart beat sensor and pulse oximeter which senses and stores the information in internet cloud which can be accessed through mobile and web applications. The UWB radar is integrated with the system for touchless patient monitoring. The proposed system also embedded with heath assisting module where it allows the person to interact with the doctors after receiving their health parameters through the mobile bot application termed as IOT FITBOT. The proposed system offers health monitoring through IoT module, patient monitoring through UWB radar and health assisting through IOT FITBOT application. Mobile application and WEB based graphical user interface (GUI) is developed to receive the

Operation of IoT Beat Sensor Using RF Energy Harvesting Power Supply

Operation of IoT Beat Sensor Using RF Energy Harvesting Power Supply

ADVANTAGES AND OBSTACLES OF APPLYING PHYSIOLOGICAL COMPUTING IN REAL WORLD: LESSONS LEARNED FROM SIMULATOR BASED MARITIME TRAINING

While simulator based maritime training is widely implemented under international maritime organization (IMO) convention and model courses, troublesome issues such as objective evaluation of training effectiveness remain unsolved. Physiological computing system (PhyCS) refers to an innovative bidirectional human computer interaction which is achieved by monitoring, analysing, and responding to operators’ psychophysiological activities in real-time. With the development of wearable devices, it becomes promising to apply PhyCS, which was considered as a laboratory technology, in real-world scenarios. In our experience utilizing view tracker, portable heart beat sensor, electroencephalogram device, and web-cameras in simulator based maritime training, PhyCS shows potential for advanced applications in operator performance assessment, usability tests, and adaptive training. However, ambulatory working environment, body movement artefact, and model verification are intricate obstacles that constrain its applications in the real world. By examining the advantages and obstacles, this paper aims to develop guidelines to apply PhyCS in the real-world.

Design and Implementation of Heart Beat Monitor System

Over the years, the decline of Nigeria’s health-care infrastructure has become alarming. The 2018 annual report of WHO shows that 75% human cardiovascular disease resulted from High Blood pressure. Immediate technical action is needed to alleviate the severity to the barest minimum. This research work presents a designs and implementation of microcontroller based Heart Beat Monitoring System for High Blood Pressure Patients. The developed system consists of three sections which include; Input section consisting of Heart beat sensor that senses and converts the blood pulse from a fingertip into an electrical signal. The sensor thereafter sends the signal into microcontroller, which is the control section that acts and communicates the result through LCD and output section. The displayed results show the beat rate in unit of beat per minute (BPM). The developed system was evaluated and demonstrated with two other standard devices namely: Pulse Oximeter and Digital Arm Cuff using a one-way analysis of variance (ANOVA) to determine its level of significance. The P Value of 0.519049 was found significant at 0.05 level of significance. Additionally, the results indicate that there is no significant difference among the three devices. It was concluded the designed device is more cost effective, user friendly and easily assembled due availability of needed materials in contrast with the other standard devices.

Vehicle Accident Detection And Prevention Using Raspberry PI And IOT

Safety is primary concern everywhere and for everyone. Every person wants to be secured while travelling. This project describes a system that can monitor a vehicle and driver. This is a simple and useful security system and easy to install. Here our application uses Raspberry Pi as its controller and heart beat sensor is interfaced to verify the drivers heart rate. In case of abnormal condition the vehicle will stop to avoid further damage. This module is employed as a precautionary measure. Four vibration sensors are also connected to identify accident and the location details will be updated using IoT module. Location details are taken through GPS module

Heart Attack Prediction Using Arduino

Nowadays several folks are mislaying their lives because of coronary heart assault and absence of clinical interest to affected person at accurate level. Hence, on this mission we're imposing coronary heart assault prediction device with the use of Arduino. The first level of coronary heart assault is surprising change in coronary heart beat. Suddenly it is going too excessive or too low. At this level we predict the coronary heart assault by the means of an Arduino and a coronary heart beat sensor, then will inject drug into the body, by means of controlling vale or pump which can be positioned at the center of drug hose. Now controlling coronary heart assault is quicker less difficult and predictable. In this mission coronary heart beat sensor can be connected to affected person's body and ship the coronary heart beat to the Arduino. Now it assesses the values and if the values aren’t always regular then the step motor that manage the drug will rotate and will increase the drug flow. For controlling the quantity of drug to be injected to an affected person's body, we use a step motor.

IOT Based Infant Healthcare Monitoring System

Newborn child needs appropriate consideration for great wellbeing and mental health. These days, families comprise of just guardians and kids. Managing infant youngsters is ambling for grandparents so the chances of giving extra thought and love are diminished. In a family, necessities to really focus on the child’s clinical issue are inevitable. To deal with such issues a system is proposed for the device health watch framework. This will assist a mother or a dad to screen the baby with different boundaries. The framework began getting more altered. These days numerous baby checking frameworks came into the market with different alternatives. This framework keeps newborn children to be in a protected condition by avoiding wet condition utilizing sensors and continue to check the vital health parameters.. IoT is helpful in this angle as it replaces the customary checking frameworks with a more proficient plan, by giving basic data in regards to the state of the patient. This framework utilizes the heartbeat sensor, Temperature sensor, wetness senor and conductivity sensor with Node MCU. The beat sensor is put on the finger and it estimates the pulse and afterward sends the heart rate to android versatile application by means of Bluetooth. A microcontroller is interfaced with the Wi-Fi system to make a straightforward TCP/IP correspondence. The parameters will be checked and downloaded very easily using the android application. The other advantage of the programmability is parents can be aware of their infant’s health status continuously.

IoT based Pulmonary Fibrosis Respiratory System

Interfaced embedded technology is evolving in current world. Hospitals and diagnostic centers emerge day by day as people have less awareness of their health issues. For Patients with Specific health issues and old age, monitoring the patients for optimal care and keeping track of the health status at anywhere is extremely tedious. Monitoring should be periodically done and their health status need to be informed to their loved ones from time to time while they are not around. This work propose an innovative system that automated the check system for Pulmonary Fibrosis. The heart and lung can be sources of breathing problems as they work together to bring out the Oxygen rich blood to the body. An ECG sensor trace various physiological and abnormal conditions of the heart. Respiration sensor measures person’s breath/minute. This heart beat sensor measures the heart beat rate. The system also helps to inform the person whether he/she has ILD or not. ILD ends up with heart disease. Whether to check the range of all parameters, AVR controller is used. If the values are not in range, the alert will be sent to the concerned persons using Arduino platform with programming c. The system Speed Rate is very high., the Error rate is less and the Duration is absolutely less. Hence the proposed system has high significance in real time medical applications.

Wi-Fi ACTIVATED DOORBELL SYSTEM FOR WOMEN SECURITY

Today in the current global scenario, the prime question in every girl’s mind, taking into account the ever rising increase of issues on women harassment in recent past, is only about her safety and security. The only thought haunting every girl is when they will be able to move freely on the streets even in odd hours without worrying about their security. The system also in corporate a screaming alarm that uses real time clock, to call out for help. Here we are also using the new concept of Wi-Fi activated doorbell system. If a girl is travelling from one place to another she will have a device with her and the entire house door bells will be connected to WI-FI. When a girl is in danger she will press the switch immediately the entire door will start to ring. Here we are also using heart beat sensor whenever the girl’s heart beat increases then all the WI-FI connected doorbell will start to ring which can be helpful to rescue the women without any time taken.

IDENTIFYING THREATS ON SMART DEVICES BY USING ACCELEROMETER SENSOR

Nowadays, nobody in this world is ready to look what’s happening around them. Even though, if any accident occurs no one cares about it. This is an intention to execute an imaginative answer for this issue by building up an Accident discovery System utilizing android PDA from the mishap. This system has been developed and implemented using the heart beat sensor based mobile technology integrated with the evolving android smart phone. The accident detection application, which primarily measures accident detection using sensor X-axis and Y-axis using mobile sensor. After getting the signal from the sensor, this system filters out the background. Then count the time between each x and y that may be an accident or not. Then the system will immediately transmit the location of the accident to the pre-configured contacts through Short Message Service (SMS). If there should arise an occurrence of a mishap is happened then the driver is provoked to react by contact or voice so as to wipe out any bogus location So the proposed framework guarantees that to lessen by mishaps.

Development of Smart Healthcare Monitoring System in IoT Environment.

Healthcare monitoring system in hospitals and many other health centers has experienced significant growth, and portable healthcare monitoring systems with emerging technologies are becoming of great concern to many countries worldwide nowadays. The advent of Internet of Things (IoT) technologies facilitates the progress of healthcare from face-to-face consulting to telemedicine. This paper proposes a smart healthcare system in IoT environment that can monitor a patient’s basic health signs as well as the room condition where the patients are now in real-time. In this system, five sensors are used to capture the data from hospital environment named heart beat sensor, body temperature sensor, room temperature sensor, CO sensor, and CO2 sensor. The error percentage of the developed scheme is within a certain limit (< 5%) for each case. The condition of the patients is conveyed via a portal to medical staff, where they can process and analyze the current situation of the patients. The developed prototype is well suited for healthcare monitoring that is proved by the effectiveness of the system.

HEART BEAT SENSOR USING FINGERTIP THROUGH ARDUINO

Heart is the most wanted part of human being to live in a world, at the same time the heart rate analysis is increased in medical field and the heart analysis is important parameter of human health. The various heart rate analysis method is available in medical field like ECG and pulse sensing system this pulse analysis is depends on the blood force of heart artery. This artery is closed to the skin in that reason the pulse is identified easily. The proposed system analysis the pulse rate in the way of fingertip using Arduino controller, and it’s based on photo phelthysmo graphy principle. This method to analysis the blood pressure difference and identified the variations of the value of blood pressure and send to the controller. The function of heart beat is occur the whole body blood is pumping, so it depends upon the fingertip blood artery is also change. This type of changes is identified with help of the heart beat sensor is placed in the finger to measure the value, and the signal is send to the controller via serial communication system it is help to monitoring the heart beat range. The photo diode and infra-red led is placed in the sensor to detect the blood volume, the infrared diode is transmit the infrared light to the fingertip, this light passing over the blood inside arteries of finger. The photo diode is analysis the light signal and reflected back to the device, so the difference between the light signal the value is send to the controller. It is continuously processed in the every circulation of blood in the fingertip region, and send the variation of changes in the light signal to the controller via serial communication. The reflected light is converted into the pulse range to easily identify the heart beat range.

Real-Time Drowsiness Detection System for Driver Monitoring

Nowadays, the rate of road accidents due to microsleep has been alarming. During microsleep, people might doze off without realizing it. For many decades, drowsiness detection system for vehicles was not among the major concerns though it turns out as one of imperative features that could have avoid microsleep and thus should be implemented in all vehicles in order to ensure safety of drivers and other vehicles on the road. To the best of our knowledge, enforcements on driving restriction during drowsiness state is yet to be implemented. The absence of such system in the current transportation systems expose drivers to great danger especially at night because accidents are highly likely to happen at night due to drowsy and fatigue drivers. Therefore, this project proposes a real-time drowsiness detection system for vehicles, featuring ignition lock to reduce accidents. An eye blink sensor is embedded in a wearable glasses and heart beat sensor is used to detect drowsiness level of drivers. The system also includes SMS notification system to relatives or friends with location details of the drowsy driver. This project is able to detect and react based on 3 levels of drowsiness by alerting the driver through buzzer. Ignition lock will be applied when high level of drowsiness is detected. Consequently, the vehicle will be slowed down and eventually stopped when dangerous level of drowsiness is detected as a safety precaution.

Exploratory Data Analysis Based on Remote Health Care Monitoring System by Using IoT

The system proposed in this article is to make Exploratory Data Analysis (EDA) of people’s health condition based on remote health care monitoring system in their different activities. Because of several critical physiological parameters of human body, multi body sensor health monitoring approach is vital. A health care monitoring system is displayed for detecting human physiological information. The system implementation consists of heart beat sensor, temperature sensor and pulse oxygen saturation level (SPO2) sensor. In this framework, gathered health information can be observed by utilizing both PC and cell phones. The real time result of the temperature sensor, heart beat sensor, SPO2 sensor to show on the ThingSpeak is tested. EDA analysis is done on measured data statistic to know the human activity for effective health care monitoring using IoT. The analyses are based on both theoretical approaches and experimental approaches according to the confirmation of recent research outcomes and real data from the hospital. The experimental studies have been carried out based on the idea of medical doctors in the hospital. The technology also confirms that the current research trends would be suitable for real world applications. The confirmation of medical doctors and suggestions on this research works were completed according to the standard of commercial products in the market.