Contact and Non-contact Heart Beat Rate Measurement Techniques: Challenges and Issues

The heart is the most important organ in the human body as it circulates the blood throughout the body through blood vessels. In the human circulatory system, the heart beats according to the body’s physical needs. Therefore, the physical condition of a person can be determined by observing the heartbeat rate (HBR). There are plenty of methods that can be used to measure the HBR. Among the methods, photoplethysmography (PPG), electrocardiogram (ECG) and the oscillometric method are the standard methods utilised in medical institutes for continuous measurement of the HBR of a patient. Out of these three methods, PPG is the only method which has evolved to a non-contact imaging-based method from the conventional contact sensory based method. The incentive for developing the non-contact-based imaging PPG method in measuring the HBR provides the advantage of excluding the direct contact of sensors on specific body parts. This brings huge improvements to remote monitoring of healthcare especially for the purpose of social distancing. Moreover, the rapid progression of technology (particularly the interactive electronic gadgets advancement) also motivates researchers and engineers to create a mobile application using the PPG imaging method, which is feasible in measuring the HBR. Hence, this study seeks to review and present the fundamental concept, the present research and the evolution of the aforementioned methods in measuring the HBR.

IOT based Patient Monitoring System

Health monitoring is the fundamental issue in this day and age. Because of absence of amazing health monitoring, patient go through from genuine medical problems. There are great deals of IoT gadgets now days to uncover the health of impacted individual over web. Wellbeing specialists are moreover exploiting these splendid contraptions to look out for their patients. With heaps of new medical care innovation new companies, IoT is suddenly changing the medical services industries. Actually in this undertaking, we will make an IoT based patient checking System which reports the patient coronary heart beat rate and assemble temperature and besides transport an email/SMS alert each time these readings go past basic characteristics. Heartbeat charge and inward warmth level readings are recorded over ThingSpeak and Google sheets so that affected individual health can be seen from wherever in the world over through on the web. A furor will in like manner be related so that affected individual can crush it on emergency to send email/SMS to their relatives.

A Human Expert Based Approach to Heartrate Monitoring System with Automatic Message Sending Via Smartphones

The objective of the paper was to propose a human – expert based approach on a heartbeat calculating and message sending system. Heart related disease is rising among today's population. The need for an accurate yet affordable heart rate is essential to ensure one's health quality. However, in today's market, most heart monitors are expensive and are not user friendly. Our goal is to calculate the heart beat using smart phones that is user friendly and less expensive. In Today's situation 50% percent of people using Smart phones, so in order to make our goal possible we are using the smart phones to calculate the humans heart beat rate accurate. In this project, a real-time heart rate measurement technique called Photo-Plethysmography (PPG) is implemented using simple infrared transmitter and receiver circuit. Our main aim to decrease the death rate of humans due to heart related diseases, so we can assign the smart phones to sending an emergency alert message to the particular persons relatives and to an ambulance or to the nearby doctor resources along with the location of the user when the Blood pressure is increasing/decreasing then normal rate. By sending an alert message the lives of an human will be recovered from critical situation.

Comprehensive Psycho-Physiological Approach to the Assessment of Adaptive Capacity of Teenage Schoolchildren with Different Types of Vegetative Regulation

The present research featured the typological features of psycho-social, neurophysiological, and endocrine status of 214 schoolchildren of both sexes aged 14–16. The research objective was to identify the relationship between psychosocial and physiological adaptation of adolescents. Cardiorhythmography made it possible to divide the participants according to three types of vegetative regulation: sympathicotonia, vagotonia, and eutonia. The participants were tested for indicators of neurodynamics, emotional state, and socio-psychological adaptation, as well as for cortisol and testosterone content in saliva. Intersystem interrelations were evaluated by means of correlation analysis. The teenagers with predominating sympathetic influences appeared to possess the highest degree of conjugation of social-psychological and vegetative components of the functional system: as anxiety and manifestations of social-psychological misadaptation increased, so did the ergotropic impact on heart beat rate. The vagotonic teenagers demonstrated a much lower total number of correlations, with a distinct interrelation between the increasing anxiety level and the increasing parasympathetic impact. The teenagers with eutonia had a lower number of correlations between psychological, neurodynamic, and vegetative levels in comparison with other types. The analysis revealed the following adaptive strategies in adolescents. The trophotropic hyporeactive strategy was typical of male vagotonics with relatively high levels of steroid hormone secretion. The ergotropic hyperreactive strategy was popular in the sympathotonic group, especially boys with low levels of anabolic and catabolic steroids and girls with a relatively high content of testosterone. The adolescents with eutonia proved to have the balanced strategy. The data obtained can help to create pedagogical conditions for improving the adaptive capacity of schoolchildren, as well as for the development of individual style of activity and successful learning in teenagers.

Design of Monitor Individuals Health using IOT A IOT Application for Military Area

The universe of medical science is a developing zone that has quickened with new innovations and this is the point at which the vision of "The Internet of things (IoT)" has transformed into the real world. IoT can assume a critical job in observing indispensable organs of people in the field of National Guard. Remote wellbeing observing (utilizing IoT) is one of the potential answers for this interest. Remote wellbeing observing can be best used gave the device is wearable to encourage self checking. Right now a framework for observing of heartbeat rate, internal heat level (essential body parameters) of the individual with committed sensors and IoT. A framework is wearable and furthermore bolsters remote wellbeing observing. Remote wellbeing observing is performed by putting all the gathered information to cloud, this information can be recovered by the specialist for examination anywhere. Along with remote checking and wearability of framework, precision and cost can't be disregarded. An ideal exchange off among precision and cost of the framework is practiced by picking fitting temperature sensor and pulse rate sensor. The heart beat rate and temperature of an individual at various time moments are estimated by the sensors.

Internet of Things(IoT) Based Multilevel Drunken Driving Detection and Prevention System Using Raspberry Pi 3

In this paper, the proposed system has demonstrated three ways of detecting alcohol level in the body of the car driver and prevent car driver from driving the vehicle by turning off the ignition system. It also sends messages to concerned people. In order to detect breath alcohol level MQ-3 sensor is included in this module along with heartbeat sensor which can detect the heart beat rate of driver, facial recognition using webcam & MATLAB and a Wi-Fi module to send a message through the TCP/IP App, a Raspberry pi module to turn off the ignition and an alarm as prevention module. If a driver alcohol intake is more than the prescribed range, set by government the ignition will be made off provided either his heart beat abnormal or the driver is drowsy. In both the cases there will be a message sent to the App and from the App you can send it to family, friend, and well-wisher or nearest cop for the help. The system is developed considering the fact if driver is drunk and he needs a help, his friend can drive the car if he is not drunk. The safety of both the driver and the surroundings are aimed by this system and this aids in minimizing death cases by drunken driving and also burden on the cops.

Heart Beat Rate Monitoring using GSM Technology

Heart-related problems and parameters are very much important to human beings. With the gradual technological advances, it made easier for the people to capture and monitor changes in their health parameters irrespective of time and location. Atrial fibrillation is one of the most common diseases and at times can be deadly too. Detection and verification of atrial fibrillation can be done by checking the variation in the period of heart rate, if a patient has this disease then the period between each heartbeat will vary. With the increase in the population and the rise of healthcare costs, plenty of people will suffer worldwide due to lack of thorough monitoring of the patients and the inability to pay the bills. This has increased the demand for affordable quality healthcare from remote locations with the periodical inspection by the hygiene officer through GSM technology. Technological advancements in the field of hardware resulted in the depreciation of cost and most importantly reduced the communication gap between the patient and the medical personnel. In this paper, the capability for alarm systems with SMS and MATLAB is implemented as optimization techniques to reduce error and perform real-time monitoring of the patient properly

Healthcare Monitoring System using Cloud and Machine Learning

The prototype is a working model, incorporating sensors for measuring human parameters like body temperature, heart beat rate. A Raspberry pi microcontroller board is used to analyze the patient's Temperature, heartbeat inputs. This project offers a system that will track the crucial parameters a patient's condition to track continuously. If a patient experiences some critical situation, the unit also triggers an alarm in a patient’s close relative and to the doctor in various methodology. This is very useful for future analyzes and review of the health condition of patients. This project can be adapted for more flexible medical applications, by integrating dental sensors and announcement systems, As a very effective and devoted patient care network, it thus makes it useful in hospitals. The world is facing a widespread problem in recent years, which is increasing the number of elderly people. The home-care dilemma for the elderly is something that is very important. In this, Wireless section is becoming a major platform for many services & applications, Web page tracking is also used here, but also a controller. Paper introduces a standardized health monitoring framework as a step towards the progress that has been made in this department to date

Iot Based Health Monitoring System

In the present busy days constant monitoring of the patient’s body parameters such as temperature and heart beat rate etc., becomes difficult. In our day-to-day life health has prime importance. Maintaining the health is a daily work . Hence to remove the burden of monitoring patients health from doctor’s head. This project present the methodology for monitoring patients remotely using GSM and embedded technology