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1.The heart's magnetic field, which is the strongest rhythmic field produced by the human body, not only envelops every cell of the body, but also extends out in all directions into the space around us. The heart's magnetic field can be measured several feet away from the body by sensitive magnetometers. Research conducted at HMI suggests the heart's field is an important carrier of information.
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This insightful and comprehensive monograph provides fundamental and detailed summaries of HeartMath Institute’s many years of innovative research. It presents brief overviews of heart rate variability, resilience, coherence, heart-brain interactions,intuition and the scientific discoveries that shaped techniques developed to increase fulfillment a...
Citations
... The heart generates by far the strongest EMF in the body, surpassing the brain's output in both electric and magnetic strength. As the predominant source of EMF oscillations, the heart produces nonlinear interactions affecting the entire complex system's behavior of a human being (McCraty, 2016). The heart may act as a predominant node in the body's physiological EMF network (Schubert, 1993;Becker and Selden, 1985). ...
All cells in the human body, including cancer cells, possess specific electrical properties crucial for their functions. These properties are notably different between normal and cancerous cells. Cancer cells are characterized by autonomous oscillations and damped electromagnetic field (EMF) activation. Cancer reduces physiological variability, implying a systemic disconnection that desynchronizes bodily systems and their inherent random processes. The dynamics of heart rate, in this context, could reflect global physiological network instability in the sense of entrainment. Using a medical device that employs an active closed-loop system, such as administering specifically modulated EMF frequencies at targeted intervals and at low energies, we can evaluate the periodic oscillations of the heart. This procedure serves as a closed-loop control mechanism leading to a temporary alteration in plasma membrane ionic flow and the heart’s periodic oscillation dynamics. The understanding of this phenomenon is supported by computer simulations of a mathematical model, which are validated by experimental data. Heart dynamics can be quantified using difference logistic equations, and it correlates with improved overall survival rates in cancer patients.
... According to McCraty (2015), intuition can be categorized into three distinct forms. Implicit knowledge, energy sensitivity, and nonlocal intuition. ...
... Perhaps for this reason, in many definitions and explanations, intuition is treated as a more or less implicit reading of signs as a result of the senses and experience. As mentioned by McCraty (2015), it may be a frequency, a biological energy or electricity sensing mechanism that are generally associated with telepathy and foresight whose center may be the brain, heart or gut, as a potential power, gift or ability of our nature of creation or of the evolution process that we have not yet been able to name, that we have not experienced concretely until today, that we have not yet realized its existence. If considered from this perspective, it is thought that it is necessary to first study whether it is, rather than what it is. ...
... It is believed that when we connect deeply with our hearts and are in tune with our emotions, our intuition becomes clearer and more accessible. This alignment allows us to make decisions, make connections, and navigate life in a more authentic and meaningful way (McCraty, 2015;Salem, 2009). McCraty et al. (2004a) study, 30 calm and 15 emotionally arousing images were shown to 26 individuals in two experimental conditions: a baseline condition representing normal psychophysiological functioning and a condition promoting physiological consistency. ...
Intuition is generally taken as a belief, experience, and tool for knowledge emergence, often characterized by emotional judgments, sensations or foresight and be classified into various types. Recently researchers have started to search for somatic markers for intuition using EEG and ECG. The objective of this study is to explore the correlations between measurements that serve as indicators of heart rate variability and the strength and kind of intuition based on samples self-reports. The samples are 149 students aged 19-21 at Kocaeli University. Data was collected using KYTO2935 HRV sensors, Elite HRV Bluetooth application and the Intuitive Thinking Scale. Research findings indicate correlations between intuitive thinking skills and certain sub-dimensions and specific heart rhythm indices. These correlations vary in terms of their effect sizes, but it is satisfactory to assert that certain features of ours, which are acknowledged as intuitive thinking abilities, are connected to heart rhythm indices and require more thorough investigations.
... Skills that enhance heart rate variability (HRV) are a promising direction, as higher HRV contributes to the healthy functioning of self-regulatory capability and psychophysiological resilience (McCraty, 2022;McCraty et al., 2006). HRV is a measure of the variance in time intervals between each heartbeat (McCraty, 2015(McCraty, , 2022. ...
... HeartMath practices regulate emotional experience (subjectively and physiologically) and produce an emotionally, mentally, and physiologically balanced or coherent state (McCraty, 2015). McCraty (2022) recently reviewed a large body of research demonstrating the connections between self-induced positive emotions, stronger HRV patterns, greater psychophysiological coherence, and enhanced psychosocial well-being. ...
... This coherence can be "measured by heart rate variability (HRV) analysis, wherein a person's heart rhythm pattern becomes more ordered" (McCraty, 2015, p. 26). Research has illustrated that emotions impact heart-brain communication, which can be measured by HRV (McCraty, 2015(McCraty, , 2022. ...
It is important to address social and emotional concerns early on, as they can adversely affect learning at all levels. The classroom is an ideal context for fostering healthy social and emotional development. For example, emotion regulation can be reinforced through simple daily practices within schools. The current applied research project was in collaboration with multiple community partners and assessed the effectiveness of a classroom‐based HeartMath practice (Heart Lock‐In) on resting heart rate variability (HRV) and self‐reported emotional benefits in elementary students. This repeated‐measures study was conducted in central Alberta, Canada, in 2020 and involved obtaining pre–post HRV measurements from N = 24 grade five students who participated in a teacher‐led 5‐min Heart Lock‐In (like loving‐kindness—radiating love to oneself and others) daily for 4 weeks. We hypothesized that the practice would increase resting HRV compared to a 4‐week relaxation control. Qualitative questions were included to capture perceptions of the utility and impact of the practice. Univariate analysis of variance revealed that the HeartMath intervention significantly increased HRV compared to the relaxation control. Students reported enhanced emotional stability, feeling more positive about themselves, and improved interpersonal relationships. They expressed that the practice gives them better focus, which helps us to improve their performance (e.g., in academics and athletics). These findings provide evidence that a simple and short HeartMath ER practice can be practical for school educators, administrators, and counselors to implement in the classroom.
... Additionally, the index of coherence (IC = [LF/ HF − 1.75]/[LF/HF + 1.75]) is usually calculated and considered an immediate index of the state of sympathovagal balance. One of the software that provides the representation of IC to customers is the Inner Balance application (HeartMath, LLC;McCraty, 2016). This program shows the IC as a percentage of time in either high, medium, or low coherence. ...
Stress is a psychophysical condition that causes an impairment in athletes' performance by causing an increase in sympathetic activity and an autonomic imbalance. The current methods for the measurement of psychophysiological stress introduce the use of the heart rate variability as a useful index of the well-being of these people. The heart rate variability corresponds to the time intervals between consecutive heartbeats, such as an irregularity in the normal sinus heart rhythm whose variability is due to the control exercised by a complex system of mechanisms, including the respiratory control system, and provides information about the activity of the sympathetic and parasympathetic branches of the autonomic nervous system. This review aims at summarizing the promising results, despite small amount, of the recent literature on the efficacy of heart rate variability biofeedback on the autonomic imbalance and psychophysical well-being of athletes as well as cognitive and motor performance.
... Heart rate variability and RR interval durations decreased significantly from the pre-performance to the performance segment of participant activity. We interpreted this as participants undergoing vagal withdrawal rather than to increased sympathetic drive during this transition, as heart rates increased above 100 bpm but generally remained below 115 bpm (28). The LF/HF ratio was somewhat discrepant with the above pattern, as it decreased from pre-performance to performance. ...
Background
Music performance anxiety is a common experience among elite and professional musicians and impedes performers from achieving flow state, or a state of focused, sustained engagement that promotes optimal performance.
Objective
The aim of this study was to use heart rate variability (HRV) to determine the psychophysiological underpinnings of optimal music performance.
Methods
We assessed HRV to study how autonomic-cardiac modulation was associated with flow during piano performance. Twenty-two pianists (15–22 years) with at least a Grade 8 Royal Conservatory of Music certification prepared two standardized pieces and a self-selected piece. Performer heart rate data were measured with a Polar 800 watch in 5-min periods immediately before performances, during performances and post-performance. HRV was employed to assess autonomic modulation of cardiac intervals. HRV indices of sympathetic and parasympathetic modulation of the heart were analyzed in 2.5-min segments to monitor short-term autonomic adjustments using the Kubios HRV Software. Flow state was measured using the 36-item Flow State Scale (FSS). Relationships were analyzed using zero-order correlations and multiple linear regressions.
Results
Our sample consisted of 22 RCM Grade 8 certified pianists. Participants achieved the highest level of flow during performance of the Bach piece. Decreased HRV was observed during performance, as indicated by a significant drop in total power. Flow state was positively associated with High Frequency (HF) power during the pre-performance phase, and inversely associated with Low Frequency (LF) power during performance.
Conclusion
Inverse association of flow with LF-HRV during performance affirms the importance of vagal-HR modulation for achievement of flow state. Increased HF-HRV and reduced LF-HRV immediately prior to performance suggests that flow state may be shaped as much by physiological preparation during pre-performance as it is by physiologic responses during performance. Further research is required to validate the correlation between autonomic modulation of the heart and flow state. Evidence of this correlation between autonomic modulation of the heart and achievement of flow state may pave the way for further research on enhancing musical performance and targeting MPA through HRV-based interventions.
... This implies that Deep Flow has activated the parasympathetic 'rest and digest' (McCraty, 2016) response via the vagus nerve, the body's major parasympathetic nerve. This slows down heart and breathing rate and the entire ANS, that leads to an increase of HRV, making you feel relaxed, focused, calm and positive (McCraty, 2016). Achieving higher HRV is therefore an essential part of the method. ...
In this research article, I argue that Deep Flow is an embodied materiality that may be experienced by exploring performative phenomenologies, entwining two different sets of research practice: phenomenological methodologies and artistic practice. In Deep Flow the practitioner entangles phenomenological methodologies, methods and research practices performatively such as embodied dance practice, the felt senses, drawings, verbal feedback and their analyses in relation to biometric data, from an embodied heart rate monitor. By looking inwardly, the practitioner experiences embodied phenomena and reveals these experiences in artistic practices in relation to the worlding in which they find themselves. These outcomes are considered as being differing materialities, flowing and converging through relational and phenomenological practice, Deep Flow and through this they become embodied by the practitioner, where new forms of embodied materialities emerge. I argue that in my practice, this is an experiential state, Deep Flow, where all human and non-human elements of the dance practice flow and course through the practitioner as an embodied materiality.
... If we examine the time taken between each of the heartbeats (the blue line) between 0 and approximately 13 seconds, we notice that they become progressively shorter as heart rate accelerates and start to decelerate at around 13 seconds. Such a pattern of heart-rate acceleration and deceleration is the basis of the heart's rhythms [13]. ...
... A time domain index uses statistical measures to quantify the amount of variance in the inter-beat interval (IBI) of a heart beat. The three most important and frequently reported timedomain metrics are SDNN, SDNN index, and RMSSD [13]. SDNN is the standard deviation of the NN intervals of normal sinus beats as measured in milliseconds where normal involves removing abnormal beats like ectopic beats. ...
... This suggests there is scope for extracting alternative features from keystroke timing, other than timing of top-10 bigrams, which might allow us to correlate with HRV data. We are severely constrained here because whatever keystroke timing information is extracted from raw timing data, can only be from within a 5-minute window as that is the standard duration for calculating short-term HRV values [13]. We know that each individual has unique timing habits for their typing [17] and it may be that instead of choosing the same top-10 most frequently used bigrams from Norvig's analysis, a different subset might be appropriate for each user. ...
Lifelogging has become a prominent research topic in recent years. Wearable sensors like Fitbits and smart watches are now increasingly popular for recording ones activities. Some researchers are also exploring keystroke dynamics for lifelogging. Keystroke dynamics refers to the process of measuring and assessing a persons typing rhythm on digital devices. A digital footprint is created when a user interacts with devices like keyboards, mobile phones or touch screen panels and the timing of the keystrokes is unique to each individual though likely to be affected by factors such as fatigue, distraction or emotional stress. In this work we explore the relationship between keystroke dynamics as measured by the timing for the top-10 most frequently occurring bi-grams in English, and the emotional state and stress of an individual as measured by heart rate variability (HRV). We collected keystroke data using the Loggerman application while HRV was simultaneously gathered. With this data we performed an analysis to determine the relationship between variations in keystroke dynamics and variations in HRV. Our conclusion is that we need to use a more detailed representation of keystroke timing than the top-10 bigrams, probably personalised to each user.
... The electrical field can be detected and measured anywhere on the surface of the body with an electrocardiogram (ECG). The magnetic field produced by the human heart is more than 100 times greater in strength than the field generated by the brain and can be detected in all directions up to 91 cm or 3 feet away from the body, using superconducting quantum interference SQUID-based magnetometers [ 42 ]. Considering ECG and magnetocardiogram (MCG) signals closely parallel one another [43] and heart neurons fire in conjunction with the brain, it is believed that the heart and brain are profoundly connected. ...
... Moreover, the nervous system acts as an antenna, which is tuned to and responds to the magnetic fields produced by the hearts of other individuals. [ 42 ] ...
Earth's geomagnetic field or pulsed electromagnetic frequencies (PEMFs) are essential to sustain the health of humans and life. As organisms have evolved within Earth's magnetic field .2-.7 Gauss (20-70µT) and electric field for billions of years, electromagnetic fields induce vibrations on ions and bonds. The review outlines the research, science, and findings from 140 peer reviewed studies on the effects of electromagnetic fields on living biological systems developed since the 1960's.
... The rationale behind the use of the HM electronic devices may be understood in terms of the HM coherence model that rhythmic activity in living systems reflects information transmitted by interconnected biological, social, and environmental networks [8]. The term coherence implies logical argumentation, harmony, interconnectedness, and consistency, where the whole is always more than the sum of the parts. ...
... Photoplethysmography sensors are usually attached to the earlobe. The changes are monitored on a downloaded app in a smartphone, such as an iPhone or any Android device [8,15]. ...
... Along with these common themes coherent with a body-based feeling consciousness, participants emphasized the pathic nature of their experience in terms of feelings, energy, sentience, awareness, consciousness, the self, body, intuition, life, soul, spirit, the group, interconnectedness, love, knowing, wholeness and healing, participants expressed this commonality through their unique highly differentiated participant responses. From a broader conceptual perspective: (a) It seems yogic in emphasis on breath and chakra like focus on 19 body parts, some related to chakras manipura, anahata, vishuda and ajna [7,8,29], (b) Its bottom up, feet to head, kundalini like sequence resembles African isanusi divination and healing umbilini breathing meditation, as described by Mutwa [30], (c) The hands of light sequence resonates with chi kung stillness in movement and microcirculation of light [31], Johrei energy healing sequences [32], Brennan's [33] High Sense Perception and healing hands of light, as well as aspects of many other heart-based meditation techniques summarized by such writers as Benson [34,35], Louchakova [36] and Wilber [37,38]. ...
In an experimental evaluation of an introductory Arka Dhyana (Intuitive Meditation) course, HeartMath (HM) Inner Balance or emWave2 electronic technology showed highly significant increases in both coherence and achievement in six participants who learned how to change their level of consciousness as proposed by the Theory of the Six Main Levels of Consciousness. During the course, which was offered to an international audience via Zoom technology, participants intended to connect with their deeper self, being, or essence, by bringing their I-ego-awareness from the thinking mind, often associated with the frontal part of the brain, to 19 energetic stations in the body including the heart centre. Considering the results from the HeartMath Coherence Model viewpoint, it seems
this intended shift leads to cardiovascular phase synchronicity and interconnection of various bodily subsystems, which is also comprehensible based on our bodily development during embryogenesis. Qualitative statements involving feeling also point to increases in well-being, indicating changes in levels and individual transformative experiences as predicted by the Theory of the Six Main Levels of Consciousness. Increased focus, stilling of the mind, and calming of emotions also seem to be health benefit by-products of Intuitive Meditation (IM), but further research on more advanced
practitioners is needed. This preliminary study needs to be repeated using a bigger sample size and further research on more advanced IM practitioners is required.
... The rationale behind the use of the HM electronic devices may be understood in terms of HM coherence model that rhythmic activity in living systems reflects information transmitted by interconnected biological, social and environmental networks (McCraty, 2016). The term coherence implies logical argumentation, harmony, interconnectedness and consistency. ...
An introductory course of Arka Dhyana, also known as Intuitive Meditation (IM), consisting of five sessions, was offered to an international audience via Zoom technology. Participants were shown how to connect to their deeper self, essence or soul by bringing their I-ego-awareness from the thinking mind, often associated with the frontal part of the brain, to 19 energetic stations in the body including the heart centre. In this limited study, evaluation was both process and outcome orientated and included HeartMath (HM) Inner Balance or emWave2 electronic technology to measure mean coherence and achievement before and after each session. A highly significant increase in both coherence and achievement in six participants was found, which was also reflected in a reported increase in wellbeing related to feelings in qualitative statements indicating changes in levels of consciousness and individual transformative experiences as predicted by the Theory of the Six Main Levels of Consciousness.
