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+{
+  "Title": "TIYA: Tune Into Your heArt",
+  "link_to_issue": "https://github.com/brainhackorg/global2024/issues/14",
+  "issue_number": 14,
+  "labels": [
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+  "content": "### Title\n\nTune into your heart\n\n### Leaders\n\nRochelle De Silva: rochelled@student.unimelb.edu.au\r\nShivam Puri: sppuri@student.unimelb.edu.au\n\n### Collaborators\n\n[Dr. Pip Karoly](https://findanexpert.unimelb.edu.au/profile/664387-pip-karoly) \r\n[Dr. Jodie Naim-Feil Feil](https://findanexpert.unimelb.edu.au/profile/909039-jodie-naim-feil-feil) \r\n[Dr. Rachel Stirling](https://findanexpert.unimelb.edu.au/profile/878052-rachel-stirling)\n\n### Brainhack Global 2024 Event\n\nBrainhack Aus\n\n### Project Description\n\nThe aim of our project is modulating heart rate interoception through music feedback to check if getting in tune with your heart has an impact on your performance in cognitive tasks and emotional state.\r\n\r\nThe hypothesis for the current experiment is that better cardiac interoception might be positively correlated with task performance and emotion regulation, hence our next step would be training cardiac interoception through music based biofeedback.\r\n\r\nThe groundbreaking part of our project is that we are testing a new, easily accessible biofeedback - where you get in tune with your heart while listening to music, and the only device you need is your phone and smartwatch. In future we hope that our music based HR feedback allows people to manage their emotions in distress and also help them focus better.\r\n\r\nif you are interested, please fill out this Expression of Interest form - https://forms.gle/SmtpUonp23ys3HhH7\r\n\r\nFor more information, please do visit our GitHub Repository - https://github.com/shivam-sunita-puri/TIYA/tree/main\n\n### Link to project repository/sources\n\nhttps://github.com/shivam-sunita-puri/TIYA\n\n### Goals for Brainhack Global\n\nEstablish correlations between cardiac interoceptions and cognitive task performance and emotional health\r\nDesign a musical biofeedback to train people to get in tune with their heart and improve their daily lives\n\n### Good first issues\n\nHeart rate to music \r\nDevelop audio based on resting HR\r\nConvert HR signal to audio stream\r\nTools: Python\r\nData: Example HR data provided, participants own data (if wearing Fitbit)\r\n\r\nCognitive tasks\r\nImplement SART, Flanker\u2019s, Posner\u2019s Cueing and subjective scale\r\nTools: PsychoPy (Pavlovia)\r\n\r\nExtension to BrainHack:\r\nEnable real-time streaming and processing of HR data to generate audio\r\nTools: Fitbit software developer kit (API), web app integration\n\n### Communication channels\n\nhttps://mattermost.brainhack.org/brainhack/channels/tiya\n\n### Skills\n\nExperimental Designers\r\nData collection & analysis\r\nCoding (python or other)\r\nApp or Game Developers\r\nMusic expertise\n\n### Onboarding documentation\n\n_No response_\n\n### What will participants learn?\n\nExtracting, analysing and converting biological signals to audio feedback\r\nLearning experiment designing for biofeedback\r\nLinking physiological data with cognitive performance\r\n\n\n### Data to use\n\n_No response_\n\n### Number of collaborators\n\nmore\n\n### Credit to collaborators\n\nProject contributors will be listed in project ReadME and their contributions to the project will be mentioned wherever the project is discussed.\n\n### Image\n\nLeave this text if you don't have an image yet.\n\n### Type\n\ncoding_methods, method_development, pipeline_development, other\n\n### Development status\n\n0_concept_no_content\n\n### Topic\n\nhypothesis_testing, physiology\n\n### Tools\n\nJupyter\n\n### Programming language\n\nMatlab, Python, `R`, html_css, javascript\n\n### Modalities\n\nbehavioral, ECG, other\n\n### Git skills\n\n0_no_git_skills\n\n### Anything else?\n\nNA\n\n### Things to do after the project is submitted and ready to review.\n\n- [X] Add a comment below the main post of your issue saying: `Hi @brainhackorg/project-monitors my project is ready!`\n- [X] Twitter-sized summary of your project pitch.",
+  "project_url": "https://github.com/shivam-sunita-puri/TIYA",
+  "project_description": "\n\nThe aim of our project is modulating heart rate interoception through music feedback to check if getting in tune with your heart has an impact on your performance in cognitive tasks and emotional state.\r\n\r\nThe hypothesis for the current experiment is that better cardiac interoception might be positively correlated with task performance and emotion regulation, hence our next step would be training cardiac interoception through music based biofeedback.\r\n\r\nThe groundbreaking part of our project is that we are testing a new, easily accessible biofeedback - where you get in tune with your heart while listening to music, and the only device you need is your phone and smartwatch. In future we hope that our music based HR feedback allows people to manage their emotions in distress and also help them focus better.\r\n\r\nif you are interested, please fill out this Expression of Interest form - https://forms.gle/SmtpUonp23ys3HhH7\r\n\r\nFor more information, please do visit our GitHub Repository - https://github.com/shivam-sunita-puri/TIYA/tree/main\n\n"
+}
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