SmarToyGym: Smart Detection of Atypical Toy-oriented Actions in At-risk Infants
The study aims to develop a SmarToyGym where sensitized, wireless toys are strategically hung and placed within reach of infants to elicit toy-oriented body and arm/hand movements. Each toy will be equipped with sensors capable of measuring the infant's grasping actions such as squeezing, pinching, tilting, etc.
A low-cost 3D motion capture system will be used to collect video data and the infants' reaching and body kinematics in response to the toys. A pressure mat will be used to measure postural changes to detect weight shifts, rolling, crawling and other movements away from the initial posture. By capitalizing on these wireless and low-cost technologies, it will permit the regular and non-invasive monitoring of infants, which can lead to detailed, non-obtrusive, quantitative evaluation of motor development. In this vein, the investigators also aim to conduct proof-of-concept testing of the SmarToyGym with atypical and typical developing infants. The investigators will include infants' ages 3 to 11 months who are categorized as high-risk or low-risk using the Bayley Infant Neurodevelopmental Screener.
調査の概要
状態
介入・治療
詳細な説明
研究の種類
入学 (予想される)
段階
- 適用できない
連絡先と場所
研究場所
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Pennsylvania
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Philadelphia、Pennsylvania、アメリカ、19104
- Childrens Hospital of Philadelphia
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Philadelphia、Pennsylvania、アメリカ、19146
- Michelle J Johnson, PhD
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参加基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
受講資格のある性別
説明
Inclusion Criteria:
- Infants exhibiting typical development between 3 months and 11 months of age who score in the low-risk category on the Bayley Infant Neurodevelopment Screener (BINS), score greater than 85 on all sub-scales of the Bayley Scale of Infant Development (BSID-II), have no history of significant cardiac, orthopedic or neurological condition and have a gestational age at least 37 weeks.
- Infants exhibiting atypical development (at-risk for neuromotor delay) between 3 months and 11 months of age, score in the moderate or high risk categories on the BINS, and score an 85 or less on the motor sub-scales of the BSID-II.
- Exclusion Criteria:
- Infants outside age range of 3-11 months
研究計画
研究はどのように設計されていますか?
デザインの詳細
- 主な目的:診断
- 割り当て:なし
- 介入モデル:単一グループの割り当て
- マスキング:なし(オープンラベル)
武器と介入
参加者グループ / アーム |
介入・治療 |
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実験的:Infants
Two populations will be involved in testing in the SmarToyGym: 1. Infants exhibiting typical development between 3 months and 11 months of age 2 .
Infants exhibiting atypical development (at-risk for neuromotor delay) between 3 months and 11 months of age.
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We aim to develop a SmarToyGym where sensitized, wireless toys are strategically hung and placed within reach of infants to elicit toy-oriented body and arm/hand movements. Each toy will be equipped with sensors capable of measuring the infant's grasping actions such as squeezing, pinching, tilting, etc. A low-cost 3D motion capture system will be used to collect video data and the infants' reaching and body kinematics in response to the toys. A pressure mat will be used to measure postural changes to detect weight shifts, rolling, crawling and other movements away from the initial posture. |
この研究は何を測定していますか?
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
---|---|---|
Toy contact
時間枠:1 session, about 1 hour in length
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Accelerometer and inertial sensor
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1 session, about 1 hour in length
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
---|---|---|
Grasp
時間枠:1 session, about 1 hour in length
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Force grip
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1 session, about 1 hour in length
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Hand Kinematics
時間枠:1 session, about 1 hour in length
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Motion capture of hand reach movements
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1 session, about 1 hour in length
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Center of Pressure
時間枠:1 session, about 1 hour in length
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body movement on a mat
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1 session, about 1 hour in length
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Leg kinematics
時間枠:1 session, about 1 hour in length
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Motion capture of leg movements
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1 session, about 1 hour in length
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協力者と研究者
捜査官
- 主任研究者:Michelle J Johnson, PhD、Penn Medicine Rittenhouse
- 主任研究者:Laura Prosser, PT, PhD、Children's Hospital of Philadelphia
出版物と役立つリンク
一般刊行物
- Prosser LA, Aguirre MO, Zhao S, Bogen DK, Pierce SR, Nilan KA, Zhang H, Shofer FS, Johnson MJ. Infants at risk for physical disability may be identified by measures of postural control in supine. Pediatr Res. 2022 Apr;91(5):1215-1221. doi: 10.1038/s41390-021-01617-0. Epub 2021 Jun 26.
- Lysenko S, Seethapathi N, Prosser L, Kording K, Johnson MJ. Towards Automated Emotion Classification of Atypically and Typically Developing Infants. Proc IEEE RAS EMBS Int Conf Biomed Robot Biomechatron. 2020 Nov-Dec;2020:503-508. doi: 10.1109/BioRob49111.2020.9224271. Epub 2020 Oct 15.
- Chambers C, Seethapathi N, Saluja R, Loeb H, Pierce SR, Bogen DK, Prosser L, Johnson MJ, Kording KP. Computer Vision to Automatically Assess Infant Neuromotor Risk. IEEE Trans Neural Syst Rehabil Eng. 2020 Nov;28(11):2431-2442. doi: 10.1109/TNSRE.2020.3029121. Epub 2020 Nov 6.
- Goyal V, Torres W, Rai R, Shofer F, Bogen D, Bryant P, Prosser L, Johnson MJ. Quantifying infant physical interactions using sensorized toys in a natural play environment. IEEE Int Conf Rehabil Robot. 2017 Jul;2017:882-887. doi: 10.1109/ICORR.2017.8009360.
研究記録日
主要日程の研究
研究開始 (実際)
一次修了 (実際)
研究の完了 (予想される)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (見積もり)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
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