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Bid if you can handle paper3k-5k dissertation biotech and data science paper. Needs in depth skill-set for organizing literature review with data.Follow outline as given
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MIND-BODY BIOFEEDBACK THERAPY FOR WOMEN’S HEALTH OPTIMIZATION
I. Introduction
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Background and context
Problem statement
Research objectives and hypothesis
Significance of the study
II. Literature Review
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Overview of women’s health issues (anxiety, headaches, lower back pain, IBS)
Existing treatments and tools for these conditions
Gap analysis: Lack of Mind-Body Biofeedback tools and tools that are using root based
assessments)
Concepts of Mind-Body Therapy (yoga, tai-chi, meditation, music, nutrition, exercise)
Existing research on Mind-Body Therapies and their effectiveness
III. Methodology
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Research design
Participants and recruitment
Data collection methods
o EEG, sEMG, and PPG sensors
o Additional bioinformatics data points (outside EEG, sEMG, PPG)
Intervention group (Mind-Body Therapy)
Comparison group (existing tools)
Data analysis plan
Ethical considerations
IV. Mind-Body Biofeedback Therapy Intervention
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Detailed explanation of the intervention components (yoga, tai-chi, meditation, music,
nutrition, exercise)
How these components address anxiety, headaches, lower back pain, and IBS
Design of the intervention program
Integration of biofeedback sensors into therapy
Root cause Assessment
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hormonal imbalance,
micronutrients deficiency
gut health
Problem identification
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IBS
Lower back pain
Anxiety
Solution
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Tools and Techniques used in the therapy – tai chi, yoga, meditation, music, exercise
(resistance training and cardio activities)
Nutrition- diet and supplements
Heart Rate Variability spO2, Resting Heart Rate, Body Temperature (PPG)+ data from
EEG and EMG data.
Breathing techniques
Measurement tools
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PPG
EMG
EEG
Care Models
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Explanation of the care models
Interactive Medicine
Palliative Care Model
Discussion on which care model is most commonly used in complementary therapies
V. Comparison with Existing Tools
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Identification and evaluation of existing tools in the market for anxiety, headaches, lower
back pain, and IBS
The limitations of current tools
Explanations why Mind-Body Biofeedback is a novel approach
VI. Data Collection and Analysis
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Description of EEG, sEMG, and PPG sensors
Explanation of how data will be collected and processed
Identifying additional bioinformatics data points for each condition
Statistical analysis methods
VII. Results
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Presentation and interpretation of the results of the Mind-Body Biofeedback Therapy
group
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Comparing results with the existing tools group
Discussion on the effectiveness of Mind-Body Biofeedback in relieving symptoms
VIII. Discussion
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Interpretation of findings
Implications of the study for women’s health
Limitations of the research
Future research directions
Practical applications and recommendations
IX. Conclusion
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Summary of the key findings and their significance
Reiteration of the potential of Mind-Body Biofeedback Therapy for women’s health
optimization
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