{ "id": 442101, "title": "Clarification on the Type of Accelerometer Sensor Used for Wrist-Mounted Data Collection", "url": "/competitions/child-mind-institute-detect-sleep-states/discussion/442101", "author_name": "", "post_date": "2023-09-21T09:44:30.167653400Z", "votes": 8, "comment_count": 5, "views": 0, "content": "

Hello everyone,

\n

First of all, I'd like to express my gratitude to the organizers and the community for this interesting competition.

\n

I have a question regarding the \"wrist-mounted accelerometer\" mentioned in the competition details. Is the sensor used for this study a specialized one, or is it similar to commercially available devices like Fitbit or Apple Watch?

\n

I'm asking this question because sleep data is generally prone to noise and can be sensitive to the type of sensor used for data collection.

\n

Thank you in advance for your clarification.

", "messages": [ { "id": "2449617", "postDate": "09/21/2023 09:44:30", "content": "

Hello everyone,

\n

First of all, I'd like to express my gratitude to the organizers and the community for this interesting competition.

\n

I have a question regarding the \"wrist-mounted accelerometer\" mentioned in the competition details. Is the sensor used for this study a specialized one, or is it similar to commercially available devices like Fitbit or Apple Watch?

\n

I'm asking this question because sleep data is generally prone to noise and can be sensitive to the type of sensor used for data collection.

\n

Thank you in advance for your clarification.

", "rawMarkdown": "Hello everyone,\n\nFirst of all, I'd like to express my gratitude to the organizers and the community for this interesting competition.\n\nI have a question regarding the \"wrist-mounted accelerometer\" mentioned in the competition details. Is the sensor used for this study a specialized one, or is it similar to commercially available devices like Fitbit or Apple Watch?\n\nI'm asking this question because sleep data is generally prone to noise and can be sensitive to the type of sensor used for data collection.\n\nThank you in advance for your clarification.", "votes": null }, { "id": "2466140", "postDate": "10/03/2023 15:31:34", "content": "

Hi @isakatsuyoshi, this dataset is part of the Healthy Brain Network project. In this dataset, we used an ActiGraph watch, model wGT3X-BT. You can probably find more information on their website.

", "rawMarkdown": "Hi @isakatsuyoshi, this dataset is part of the Healthy Brain Network project. In this dataset, we used an ActiGraph watch, model wGT3X-BT. You can probably find more information on their website.", "votes": null }, { "id": "2466615", "postDate": "10/04/2023 01:38:19", "content": "

Hi @nathaliaesper , thanks for letting me know about the dataset and the ActiGraph watch model used. I'll be sure to check out their website for more information.

", "rawMarkdown": "Hi @nathaliaesper , thanks for letting me know about the dataset and the ActiGraph watch model used. I'll be sure to check out their website for more information.", "votes": null }, { "id": "2468088", "postDate": "10/05/2023 07:07:22", "content": "

@nathaliaesper Looking at the wGT3X-BT product website, it appears that the following analysis functions are included. So, is there a reason why input is limited in this competition? I thought that light (surrounding environment) and heartbeat would be important information.

\n
\n

The graphing function allows you to view raw data in detail on the software. XYZ acceleration data, light, heart rate, illuminance data (GT3X), body position, etc. can be enlarged from a 24-hour scale to a 1-minute scale and viewed on the same axis.

\n
", "rawMarkdown": "nathaliaesper Looking at the wGT3X-BT product website, it appears that the following analysis functions are included. So, is there a reason why input is limited in this competition? I thought that light (surrounding environment) and heartbeat would be important information.\n\n> The graphing function allows you to view raw data in detail on the software. XYZ acceleration data, light, heart rate, illuminance data (GT3X), body position, etc. can be enlarged from a 24-hour scale to a 1-minute scale and viewed on the same axis.", "votes": null }, { "id": "2489027", "postDate": "10/19/2023 16:29:07", "content": "

Found this quote from the paper below which is relavant for this discussion.

\n

Ref: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0142533&type=printable

\n
\n

The accelerometer also had a light sensor (Fig 1) but we decided not to use it for sleep detection as despite its appeal for visual interpretation it can be misleading when the light sensor is covered by a sleeve or bedding.

\n
", "rawMarkdown": "Found this quote from the paper below which is relavant for this discussion.\n\nRef: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0142533&type=printable\n\n> The accelerometer also had a light sensor (Fig 1) but we decided not to use it for sleep detection as despite its appeal for visual interpretation it can be misleading when the light sensor is covered by a sleeve or bedding.", "votes": null }, { "id": "2489321", "postDate": "10/19/2023 22:18:46", "content": "

Thank you for your comment @bkowshik. I understand that it becomes noise for sleep detection.

", "rawMarkdown": "Thank you for your comment @bkowshik. I understand that it becomes noise for sleep detection.", "votes": null } ], "comments": [ { "id": 2466140, "author_name": "nathaliaesper", "author_url": "", "post_date": "10/03/2023 15:31:34", "content": "

Hi @isakatsuyoshi, this dataset is part of the Healthy Brain Network project. In this dataset, we used an ActiGraph watch, model wGT3X-BT. You can probably find more information on their website.

", "votes": null, "replies": [ { "id": 2466615, "author_name": "isakatsuyoshi", "author_url": "", "post_date": "10/04/2023 01:38:19", "content": "

Hi @nathaliaesper , thanks for letting me know about the dataset and the ActiGraph watch model used. I'll be sure to check out their website for more information.

", "votes": null, "replies": [] } ] }, { "id": 2468088, "author_name": "mitsuyasuhoshino", "author_url": "", "post_date": "10/05/2023 07:07:22", "content": "

@nathaliaesper Looking at the wGT3X-BT product website, it appears that the following analysis functions are included. So, is there a reason why input is limited in this competition? I thought that light (surrounding environment) and heartbeat would be important information.

\n
\n

The graphing function allows you to view raw data in detail on the software. XYZ acceleration data, light, heart rate, illuminance data (GT3X), body position, etc. can be enlarged from a 24-hour scale to a 1-minute scale and viewed on the same axis.

\n
", "votes": null, "replies": [ { "id": 2489027, "author_name": "bkowshik", "author_url": "", "post_date": "10/19/2023 16:29:07", "content": "

Found this quote from the paper below which is relavant for this discussion.

\n

Ref: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0142533&type=printable

\n
\n

The accelerometer also had a light sensor (Fig 1) but we decided not to use it for sleep detection as despite its appeal for visual interpretation it can be misleading when the light sensor is covered by a sleeve or bedding.

\n
", "votes": null, "replies": [ { "id": 2489321, "author_name": "mitsuyasuhoshino", "author_url": "", "post_date": "10/19/2023 22:18:46", "content": "

Thank you for your comment @bkowshik. I understand that it becomes noise for sleep detection.

", "votes": null, "replies": [] } ] } ] } ], "raw_markdown_by_id": { "2449617": "Hello everyone,\n\nFirst of all, I'd like to express my gratitude to the organizers and the community for this interesting competition.\n\nI have a question regarding the \"wrist-mounted accelerometer\" mentioned in the competition details. Is the sensor used for this study a specialized one, or is it similar to commercially available devices like Fitbit or Apple Watch?\n\nI'm asking this question because sleep data is generally prone to noise and can be sensitive to the type of sensor used for data collection.\n\nThank you in advance for your clarification.", "2466140": "Hi @isakatsuyoshi, this dataset is part of the Healthy Brain Network project. In this dataset, we used an ActiGraph watch, model wGT3X-BT. You can probably find more information on their website.", "2466615": "Hi @nathaliaesper , thanks for letting me know about the dataset and the ActiGraph watch model used. I'll be sure to check out their website for more information.", "2468088": "nathaliaesper Looking at the wGT3X-BT product website, it appears that the following analysis functions are included. So, is there a reason why input is limited in this competition? I thought that light (surrounding environment) and heartbeat would be important information.\n\n> The graphing function allows you to view raw data in detail on the software. XYZ acceleration data, light, heart rate, illuminance data (GT3X), body position, etc. can be enlarged from a 24-hour scale to a 1-minute scale and viewed on the same axis.", "2489027": "Found this quote from the paper below which is relavant for this discussion.\n\nRef: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0142533&type=printable\n\n> The accelerometer also had a light sensor (Fig 1) but we decided not to use it for sleep detection as despite its appeal for visual interpretation it can be misleading when the light sensor is covered by a sleeve or bedding.", "2489321": "Thank you for your comment @bkowshik. I understand that it becomes noise for sleep detection." }, "source": "meta" }