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Smart Attendance cum Health Check-up Machine for Students/Villagers/Company Employees
Published in Rekh Ram Janghel, Rohit Raja, Korhan Cengiz, Hiral Raja, Next Generation Healthcare Systems Using Soft Computing Techniques, 2023
Pranjal Patel, Shriram Sharma, Pritesh Sutrakar, Hemant Kumar, Devender Pal Singh, Menka Yadav
Heart rate or pulse rate is the number of times your heart beats in one minute. Normally, the average heart rate of a person lies between 60–100 beats per minute. Faster heart rate can also be associated with diseases like heart problems, atrial fibrillation, and anemia. On average, depressed patients have a heart rate that is roughly 10–15 beats per minute higher than a person in the control group.
Emerging IoT Applications
Published in Ambikapathy, R. Shobana, Logavani, Dharmasa, Reinvention of Health Applications with IoT, 2022
N. Vedanjali, Pappula Rajasri, Mahima Rajesh, V.R. Anishma, G. Kanimozhi
The heart rate of a healthy person should be between 60 and 100 beats per minute. The kidneys are responsible for maintaining a consistent amount of blood that remains in the body and also help remove excess fluid way of urination. If kidney function is weakened, blood volume increases and can result in increased stress on the heart, which stretched and furthermore trigger an abnormal heart rhythm [15].
Wearable Technologies for 5G, Medical and Sport Applications
Published in Albert Sabban, Wearable Systems and Antennas Technologies for 5G, IOT and Medical Systems, 2020
Measurement of heart rate is one of the most important tests needed to examine the health of a patient. A change in the heart rate will change the blood pressure and the amount of blood delivered to all parts of the body. The heart rate of a healthy person is 72 times per minute. Changes in heartbeat may cause several kinds of cardiovascular diseases. Traditionally, heart rate is measured by using a stethoscope. However, this is a manual test and is not very accurate. To measure and analyze the heart rate a wearable medical device may be connected to a patient’s chest.
Toward Standard Guidelines to Design the Sense of Embodiment in Teleoperation Applications: A Review and Toolbox
Published in Human–Computer Interaction, 2023
Sara Falcone, Gwenn Englebienne, Jan Van Erp, Dirk Heylen
Heart rate (HR) is the speed of the heartbeat measured by the number of contractions (beats) of the heart per minute (bpm). HR can be used as a measure of embodiment to observe how much an operator is engaged with the surrogate, the remote environment, and the global embodiment experience (i.e., the extent to which, for instance, anxiety and stress are provided by the external environment). Please note that other factors such as the physical activity of telemanipulation are also reflected in changes in HR and this should be compensated or controlled for. For example, in (Fusaro et al., 2016), participants were immersed in a VR scenario and they observed a virtual: i) needle penetrating (pain), ii) caress (pleasure), or iii) ball touching (neutral) the hand of an avatar seen from 1PP or 3PP. In (Slater et al., 2010) they measured HR deceleration in response to a virtual scenario in which a woman slapped a girl, a parameter that has been associated with reports of aversive stress in the context of picture viewing. However, interoception is not always a good index of SoE, its variation could also be related to other factors (Buldeo, 2015). In (Fusaro et al., 2016; Slater et al., 2010), the authors do not state or proof a clear disentangling among the three components while using the HR as measure of SoE.
Assessing Engagement during Rescue Operation Simulated in Virtual Reality: A Psychophysiological Study
Published in International Journal of Human–Computer Interaction, 2020
Gabriela Czarnek, Paweł Strojny, Agnieszka Strojny, Michael Richter
In contrast to pre-ejection period and RZ-interval as measures of sympathetic activity, assessing heart rate variability enables the estimation of parasympathetic influence on the heart. Heart rate variability is an umbrella term for a wide array of methods, e.g., time-domain analysis, frequency-domain analysis, rhythm pattern and other types of analyses, assessing variations in the interval between consecutive heartbeats (Berntson et al., 1997; Task Force, 1996). Most importantly, the frequency-domain analysis allows estimating parasympathetic influence on the heart. While low-frequency heart rate variability (0.04–0.15 Hz) represents both sympathetic and parasympathetic activity, high-frequency heart rate variability (0.15–0.40 Hz) represents parasympathetic activity selectively (Berntson et al., 1997; Task Force, 1996). Thus, to capture the parasympathetic activity, we focused only on high-frequency power range of heart rate variability. As parasympathetic nervous system decreases heart activity (it operates as a brake on the heart), the stronger the decrease in parasympathetic activity, the higher the level of engagement. In other words, the stronger the withdrawal of the “vagal brake”, the higher the engagement.
Feature extraction of ECG signal
Published in Journal of Medical Engineering & Technology, 2018
Shanti Chandra, Ambalika Sharma, Girish Kumar Singh
Electrocardiogram (ECG) is the recording of electrical activity of the heart. Analysis of ECG signal is very important to diagnose a cardiac patient. During the analysis of an ECG signal, various features are extracted, viz., the P wave, QRS complex, T wave, etc., that are depicted in Figure 1. In this figure, P wave, QRS complex and T wave indicate the depolarisation of atria, depolarisation of ventricles and repolarisation of ventricles, respectively. Any change in these components (i.e. amplitude, duration and shape) can indicate an arrhythmia. Duration between onset points of two consecutive P waves is defined as one heartbeat. However, duration of two consecutive R-peak points is considered as one beat duration (one cardiac cycle) because R-peak detection is much simpler than detection of P-peaks/waves. Heart rate is the number of heart beats in one minute. Detection of R-wave is very important to measure the heart rate and detection of other features. The heart rate between 60 and 100 beats/min is considered as a normal heart rate or normal sinus rhythm (NSR). However, the heart rate less than 60 beats per minute is called bradycardia, and greater than 100 beats per minute is known as tachycardia [1].