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3d accelerometer  (Silicon Designs Inc)

 
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    Structured Review

    Silicon Designs Inc 3d accelerometer
    Subject population and measurement system characteristics.
    3d Accelerometer, supplied by Silicon Designs Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/3d+accelerometer/3d+accelerometer/pmc09025833-1-46-58
    Average 90 stars, based on 1 article reviews
    3d accelerometer - by Bioz Stars, 2026-10
    90/100 stars

    Images

    1) Product Images from "Accelerometer-Based Identification of Fatigue in the Lower Limbs during Cyclical Physical Exercise: A Systematic Review"

    Article Title: Accelerometer-Based Identification of Fatigue in the Lower Limbs during Cyclical Physical Exercise: A Systematic Review

    Journal: Sensors (Basel, Switzerland)

    doi: 10.3390/s22083008

    Subject population and measurement system characteristics.
    Figure Legend Snippet: Subject population and measurement system characteristics.

    Techniques Used: Activity Assay, Sampling

    Related Articles

    Activity Assay:

    Article Title: Accelerometer-Based Identification of Fatigue in the Lower Limbs during Cyclical Physical Exercise: A Systematic Review
    Article Snippet: , Accelerometer(s) Characteristics and n° of Axes N° of Accelerometers and Placement Weight Operating Range Sampling Frequency Manufacturer (Model). .. Abt et al. [ ] , Running , 12 competitive runners M and F 24.5 ± 4.1 174 ± 9 65.2 ± 9.8 Running for at least 3 yrs; min. of 48 km/wk; min. pace of 10.7 km/h; no injuries in the last 3 months , 3D accelerometer 2: tibia and forehead 21 g ±25 G 1200 Hz Silicon Designs, Inc., Issaquah, WA, USA (Model 2422-010). .. Ameli et al. [ ] , Stair climbing , 20 subjects 10 M; 10 F M: 27.3 ± 2.3; F: 24.4 ± 3.7 / BMI (kg/m 2 ) M: 22.5 ± 2.8; F: 21.6 ± 2.8 Not overweight; a

    Sampling:

    Article Title: Accelerometer-Based Identification of Fatigue in the Lower Limbs during Cyclical Physical Exercise: A Systematic Review
    Article Snippet: , Accelerometer(s) Characteristics and n° of Axes N° of Accelerometers and Placement Weight Operating Range Sampling Frequency Manufacturer (Model). .. Abt et al. [ ] , Running , 12 competitive runners M and F 24.5 ± 4.1 174 ± 9 65.2 ± 9.8 Running for at least 3 yrs; min. of 48 km/wk; min. pace of 10.7 km/h; no injuries in the last 3 months , 3D accelerometer 2: tibia and forehead 21 g ±25 G 1200 Hz Silicon Designs, Inc., Issaquah, WA, USA (Model 2422-010). .. Ameli et al. [ ] , Stair climbing , 20 subjects 10 M; 10 F M: 27.3 ± 2.3; F: 24.4 ± 3.7 / BMI (kg/m 2 ) M: 22.5 ± 2.8; F: 21.6 ± 2.8 Not overweight; a



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    Image Search Results


    Journal: Data in Brief

    Article Title: ActBeCalf: Accelerometer-based multivariate time-series dataset for calf behavior classification

    doi: 10.1016/j.dib.2025.111462

    Figure Lengend Snippet:

    Article Snippet: Data collection , This experiment involved 30 Holstein Friesian and Jersey pre-weaned calves housed in 4 group pens. Each calf was equipped with a 3D accelerometer sensor (AX3, Axivity Ltd, Newcastle, UK; 11g) sampled at 25 Hz and attached to a neck collar from 1 week of birth over 13 weeks. The sensors were removed bi-weekly to recharge the batteries and extract the data. An 8Mp Dome3 CCTV camera was fixed high up in each pen. Behaviors were manually annotated from the videos using the Behavioral Observation Research Interactive Software based on an ethogram (23 behaviors). After timestamp synchronization, observations and accelerometer time-series were aligned using Python (v3.9). No normalization has been applied to the accelerometer time-series..

    Techniques: Software