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CARWatch is an open-source framework to support **objective** and **low-cost** assessment of cortisol samples in real-world, unsupervised environments. It is especially suitable for **cortisol awakening response (CAR)** research, but not limited to this application.
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It consists of an [Android application](https://github.com/mad-lab-fau/carwatch-app) that schedules sampling times and tracks
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them by scanning a barcode on the respective sampling tube as well as a [web app](https://carwatch-tools.github.io/study-manager/) that provides tools to
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**configure studies** and **prepare the study materials** and to **process the log data** recorded by the app.
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them by scanning a barcode on the respective sampling tube as well as [Study Manager](https://carwatch-tools.github.io/study-manager/), a web-based tool for
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**study preparation**, **study material generation**, and **post-study log processing**.
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Alternatively, users with programming experience can use the corresponding [Python package](https://github.com/mad-lab-fau/carwatch-python/) that provides the same range of functionality.
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## Features
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* Generating a QR-Code for the [CARWatch app](https://github.com/mad-lab-fau/carwatch-app) to automatically set up
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the study in the app
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2.**Creating printable labels with barcodes for objective sampling time assessment.**
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2.**Creating printable labels with barcodes for objective sampling time assessment.**
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This includes:
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* Customizing the numer of saliva samples per day, the number of days, and the number of study participants
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* Adding an optional evening saliva sample
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* Customize barcodes to fit your printable label templates
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3.**Analyzing the CARWatch log data.**
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3.**Processing CARWatch log data.**
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This includes:
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* Extracting the sampling timestamps from the log data
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* Extracting the self-reported awakening times (if available)
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## Usage
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Simply visit the [CARWatch Website](https://carwatch-tools.github.io/study-manager/) and follow the instructions to get started. It works for all common modern browsers. In particular, it has been extensively tested for Chrome and Firefox. All calculations are performed locally in your browser and no data is sent to a server. Thus, we are not collecting any data from you.
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Simply visit [Study Manager](https://carwatch-tools.github.io/study-manager/) and follow the instructions to get started. It works in all common modern browsers. In particular, it has been extensively tested in Chrome and Firefox. All calculations are performed locally in your browser and no data is sent to a server.
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## Developer Guide
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`study-manager` is a web app based on the [SvelteKit](https://kit.svelte.dev/) framework. It is written in TypeScript and uses [Tailwind CSS](https://tailwindcss.com/) and [Skeleton](https://www.skeleton.dev/) for styling.
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If you are a developer and want to contribute to `carwatch` you can install an editable version of the package from
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`study-manager` is the CARWatch web interface for study preparation and post-study log processing. It is based on [SvelteKit](https://kit.svelte.dev/), written in TypeScript, and uses [Tailwind CSS](https://tailwindcss.com/) and [Skeleton](https://www.skeleton.dev/) for styling.
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If you are a developer and want to contribute to CARWatch, you can install an editable version of the package from
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a local copy of the repository.
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### Installation
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This project is licensed under the MIT License. See the LICENSE file for details.
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## Citing carwatch
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## Citing CARWatch
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If you use `study-manager` in your work, please report the version you used in the text. Additionally, please also cite [our paper](https://www.sciencedirect.com/science/article/abs/pii/S0306453023000513?via%3Dihub) published in Psychoneuroendocrinology:
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If you use `study-manager` in your work, please report the version you used in the text. Additionally, please cite [our paper](https://www.sciencedirect.com/science/article/abs/pii/S0306453023000513?via%3Dihub) published in Psychoneuroendocrinology:
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```
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Richer, R., Abel, L., Küderle, A., Eskofier, B. M., & Rohleder, N. (2023). CARWatch – A smartphone application for
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