Biofeedback - Science topic
Biofeedback is the process of becoming aware of various physiological functions using instruments that provide information on the activity of those same systems, with a goal of being able to manipulate them at will. Processes that can be controlled include brainwaves, muscle tone, skin conductance, heart rate and pain perception.
Questions related to Biofeedback
1- Surgical excision followed by diet, biofeedback, APC and Sucralfate
2- Endoscopic debulking followed by diet, biofeedback, APC and Sucralfate?
My long term study of patients with fibromyalgia and diffuse type 2 occupational overuse syndrome during use of sEMG biofeedback shows that there is a symptomatic difference in pain
during splinting of muscles causing deep ischemic pain and the release of muscle tension which brings about numbness, pins and needles and deep throbbing pain. I am looking for an objective measurement to verify this
1. We want to buy a new system. I am familier with Vicon and Qualisys mocap systems. Coda motion and motion analysis systems are also under consideration. Does anyone has experience with Motion Analysis Inc and Coda Motion mocap systems? Which one you is better for a general purpose life science motion analysis Lab?
2. In Vicon systems we are limited to the vicon plugin gait model mostly. As I know bodybuilder is not an easy to use software but I do not know about the new software developed by Vicon, procalc. Do anyone worked with procalc? What about the skeleton builder of Motion Analysis ?
3. We have a limited space (9 by 6 meter room) and I also want to know if having 3 coda trackers could do the job as 8 cameras of other systems ( because of budget limitations we can atmost buy 8 cameras for passive systems or 3 active trackers each having 3 embeded cameras ). We can not put the trackers in 120 degree distance around the center of capture volume and I am not sure if 3 trackers would be enough.
4. Also I want to know which system is the best for real time data streaming to matlab or labview. We want to use the system for giving real time kinematic feedback to the subject and use the system for biofeedback test and training also for augmented and virtual reality base rehabilitation purpuses.
Sorry for asking 4 questions in one comment. And thank you for sharing your ideas
I hope to soon have a ridiculous amount of data from about 80 hours of 16 channel EEG recordings. I will also have 160 productivity/performance indicators along several dimensions, each associated with half an hour of recorded EEG signal. Note that the frequency of aggregate data generation is about five orders of magnitude higher than the frequency of the productivity/performance data.
Is there any halfway plausible way to extract, from this vast amount of data, features of these waveform time series that have the strongest relationship to my productivity/performance measures, without imposing strong priors on the nature of those feature? Like, I could do spectral power by electrode, but if the I impose that structure and the real best predictor is anticorrelation between two regions, I’ll never catch it. Maybe some kind of two-phase unsupervised/supervised learning structure? Or if anyone knows of a catalog of features that had been found to discriminate between those with high vs. average to low productivity, self-discipline, etc., I’d be interested in that. I have looked for, and failed to find, such a catalog in the past. (I am more interested in executive function than intelligence for this purpose).
My ultimate goal is to create a neurofeedback filter for personalized productivity enhancement. Against the desire for weak or unspecified priors, I also have a bias toward filters which are not pure black boxes; which is to say, if I am to train my one and only brain against some measurement, and maybe offer others an opportunity to do likewise, I’d like to know what that measurement is.
If I succeed in doing this, I will almost certainly be doing the data analysis with R.
Hello. I want to measure HRV before activity, during activity and after activity. Each measurement will take 5 minutes. I have limited budget and i m searching for a portable device. And it must be reliable for scientific research. I've found some alternatives like shimmer ear clip, polar watches, polar chest strap and some finger and you may offer me different devices. What is the best option for me?
I'm looking for a suitable protocol in mindfulness-based biofeedback for athletes anxiety and stress management.
The concept behind the development of a Psychecology game (PEG) prototype is that authentic game-play based on the most current cognitive research and the principles of dream analysis identified by Carl Jung can promote individual and collective psychological atonement. The dynamic for achieving at-one-ment or coherence is grounded in the scientific hypothesis that universal reality is quantum electrodynamic (QED). According to Jung, such QED patterns called archetypes of the unconscious are projected as ubiquitous mediated images that—even on the scale of pixel patterns—have the same narrative architecture, the same dramatic QED structure. Images tell both objective and subjective stories on multiple atomic-molecular-universal scales. Therefore, “contextual meaning” imbedded within the narrative architecture of story images according to rules of steganography can be induced in game players according to Carl Jung’s Compensational process. This induction is the essence of Jungian dream analysis in which the psychiatrist suggests (amplifies) the symbolic meaning imbedded in the symbolism of dreams. When a dreamer has insight as to this meaning hidden in dreams, insight becomes therapeutic. Moreover, according to Jung, it is not the psychiatrist who heals. Instead, the dreamer heals self with meaningful insight. (Abdullah Alabdulgader, Rollin McCraty, Michael Atkinson, York Dobyns, Alfonsas Vainoras, Minvydas Ragulskis, and Viktor Stolc, 2018; Martin, Howard, ND; Garling, Caleb & Cully, Antoine, 2015; Mortier, Richard, Haddadi, Hamed, Henderson, Tristan, McAuley, Derek, Crowcroft, Jon, 2015; McCraty, Rollin, 2004; McCraty, Rollin, Atkinson, Mike, Tomasino, Dana, and Tiller, William, 1998)
Steganography is the practice of concealing a file, message, image, or video within another file, message, image, or video. The word steganography combines the Greek words steganos, meaning "covered, concealed, or protected", and graphein meaning "writing". GAMING CULTURAL ATONEMENT: COHERENT REFRAMING OF THE COLLECTIVE UNCONSCIOUS 3 Images abound in our experience: Dreams, memories, fantasies, the mind’s eye, television, technological monitors (Information & Communication Technologies—ICTs), and real-life (waking dreams). All images can be understood and researched according to principles of steganography and correlated with algorithms depicting a unified QED field or a Jungian dreamscape. (Schafer, Stephen Brock, 2017; Schafer, Stephen, Ed., 2017; Schafer, Stephen, 2012). Though steganography is an ancient concept, it is already being researched in terms of a digital context. (Radcliff, Deborah, 2002) With further research, steganography could be refined for the sophisticated purposes of dream-image analysis leading to therapeutic induction. Because these multiple perceptual dimensions can be correlated and measured with the proposed PEGs as dream analogs, learning, healing, and individuation can be facilitated in natural ways by amplifying cognitive-experiential dynamics. Most important, PEGs can be used as neurobiological research instruments to discover appropriate QED ethical patterns in a superconductive mediated reality.4 The paradigm shift into such a superconductive mediated reality is not presently being addressed in meaningful ways, but PEG research could clarify the trajectory of civilized moral evolution in timely ways. PEG research could provide hard science relative to fostering heroic citizenship in players with mediated biofeedback. Applied to content of the Media-sphere such biofeedback could teach 3 Neils Provos, a Ph.D. student in computer science at the University of Michigan in Ann Arbor, decided to do his dissertation on steganography. Provos developed detection and cracking tools to analyze images for signs of steganography, such as overly large files and uneven bit mapping. 4 The term “superconductive” will be explained more fully throughout the proposal, but research such as that of Danah Zohar has established a hypothesis that what physicists understand as superconductivity exists neurobiologically at body temperatures. More recently, the research of Stuart Hameroff and Sir Roger Penrose has provided strong evidence that consciousness, itself, originates at harmonized quantum levels in neural microtubules. GAMING CULTURAL ATONEMENT: COHERENT REFRAMING OF THE COLLECTIVE UNCONSCIOUS 4 and heal collective
What is your idea concern using the biofeedback based techniques expedite such recovery processes in incomplete SCI patients?
Biofeedback is a method that uses the mind to control a body function that the body normally regulates automatically, such as muscle tension, heart rate, pain perception or stability... The biofeedback therapist will then teach physical and mental exercises that can help patient control the function. Can these exercises also be effective for involuntary actions such as stress? If yes, By which method?
A colleague and I are interested in using EKG-based biofeedback for a new study. Neither of us has much experience with cardiac measures, so we're looking for equipment recommendations. Specifically, we would like a system that will allow us to detect changes in heart rate and/or PEP following a visual stimulus, which will be used to give onscreen feedback to the participant. We're planning to design our own program, so we'd like to find something that doesn't require us to use the company's proprietary software.
I've seen a lot of people recommending the Firstbeat Bodyguard 2 for EKG, but it looks like that can only be used to collect data offline. Can anyone recommend a good system that could be used for biofeedback?
I would be very intersted to hear of any research/practical clinical experience you have had. Particularly what impact you feel there was on overall outcome.
is there anybody doing research in the field of biofeedback? I am a psychologist and biofeedback trainer and have a question to which I can't find any papers in pubmed:
RSA is a well known pattern of rhythmic changes of the pulse frequency (pf) dependent on breathing. PF increases with inhalation and decreases with exhalation. The explanation is that with inhalation the sympathetic nervous system gets stronger and with exhaling the parasympathetic. That's clear. But my experience after a couple of years training with different patients is that this pattern is just the first step towards a really balanced state. Very important is that the puls volume AMPLITUDE also changes with breathing. It Increases with exhaling and decreases with inhaling as the parasympathetic nerve system (=exhaling) relaxes the vascular muscles leading to an Increase of pulse amplitude.
As an attachment a picture out of my biofeedback-system. The first line is the raw puls curve I get from the pulsplethysmography, next line is the pulse amplitude, then the pulse frequency and last the breathing curve where increasing means inhaling and decreasing exhaling.
Does anybody know this pattern and maybe some literatur concerning this issue?
looking for reasons why skin conductance is limited. While at the same time other autonomous parameters (blood volume pulse,...) respond in a contradictory manner.
During therapy session, hardware data aquisition instruments, can prove electrodermal activity in brain. This is proof to clients of change in mental status, as well as indicator to therapist of helpful training.
I observed an unconvenient delay with the RMS calculation method (window = 0.375 ms), even without overlapping. 1) There are principles for using the RMS method and 2) Reduce this delay using the linear envelop would be a relevant way?
Have anyones used the ProComp2 (Computerized Biofeedback System From Thought Technology) to assess skin conductance response? Is a good device for research?
Has anyone good ideas for control conditions in a RCT evaluating the effectiveness of a VR-based relaxation training?
Background: The intervention includes 2 weekly session of 30 minutes relaxation training for 4 weeks. I am going to measure the physiological response during each training, so the control group should have an activity with the same general conditions, without inducing relaxation or stress.
- I have thought about "quiet time" but since the study is supposed to include 8 interventions I am affraid this control conditions might lead to a large dropout in the control group.
- Another idea was to use neutral video clips, but I am not sure about the content of those clips
Any good ideas / experiences on that?
Thanks a lot to all of you :-)
I am planing a study investigating the usefulness of VR supported relaxation. I am thinking about using physiological parameters (skin temperature, skin conductance, heart rate, respiratory rate) to directly measure the effect of the relaxation exercise.
For what I know some of those measures are sensitive to movement, especially the skin conductance.
Has anyone experience with measurement of those parameters while applying VR?
And would you recommend any other parameters to directly measure the effect of the relaxation exercise?
Thank you very much for your help!!
I showed him the announcement of the Tesla Model 3 because he was curious. And I just see a tiny arousal in the data. Then I showed him videos of the 1g acceleration of the model S. Same here, he had less arousal than I thought.
Yesterday I recorded his GSR with comedy videos and he laughed. Still, his variance was similar to the image case. I think I placed correctly the electrodes on his fingers, also because I made different attempts.
So far I never saw something like this, I know that some people have less variance than others, but I am worried by the values of my dad.
This is one case where there are high and low variance subjects: http://www.shimmersensing.com/assets/images/content/case-study-files/Emotional_Response_27July2015.pdf
I also have a reading of my mother, but she was tired so the low variance in her case could be justified.
I mean, I know it depends also on the location and the type of pain (headache disorder, neuropathic pain, musculoskeletal pain).
I'm looking a basic solution (2 channel) with software to start using it both for research and clinical use.
One channel could be use for eeg and the other? (e.g. muscle tone, skin conductance/impedence, blood pressure, breathing, heart rate variability).
Sorry if that is a little bit broad question
I am developing a study with the following KP schedule:
80 Trials total with 5 Trials of 100% KP, 5 Trials of 80% KP, 5 Trials of 60% KP, 5 Trials of 40% KP, and 60 Trials of 20% KP.
I calculate this to be 32.5% KP. Is this a good faded KP schedule?
The Terms HRV BF, Heart Coherence BF, Respiratory BF and RSA BF often seem to be used synonymously. However, different authors stress different aspects of the intervention. Furthermore, the best respiratory frequency to increase HRV (around 0,1 Hz) doesn't always seem to be the best frequency for HR/RSA Synchrony/Coherence. Are there clear distinctions?
And what is the difference in calling the respective Intervention "... Biofeedback" or "... Training"?
Just sat in on a presentation arguing that neurofeedback could affect positive clinical responses in patients who made little progress with other short-term therapies. Even suggesting that these modalities have shown results with persistently suicidal patients treated on an outpatient basis.
Hi dear all!
In our study we are showing the participants (as potential customers) various types of advertisements and recording their response (microsiemens values) simultaneously thorough Hrv and Electrodermal Activity. I am curious to find out what the microsiemens values would be for instance when the participants like or dislike the ad? In other words would the microsiemens values increase or decrease and how in these emotional states (of like / dislike)? How would we be able to determine like or dislike by looking at microsiemens values? I would be happy if you could provide info about the above.
I have done a short review of biofeedback and addictions treatment. I have not noticed any current studies that demonstrate the effectiveness of biofeedback therapy in addictions. I am interested as I am a Licensed Clinical Alcohol and Drug Counselor and a MSW candidate.
Please provide links to resources. Thank you.