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custom-built tri-axial accelerometers sensortile turn-key sensor modules steval-stlk01v1  (STMicroelectronics Pte)

 
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    STMicroelectronics Pte custom-built tri-axial accelerometers sensortile turn-key sensor modules steval-stlk01v1
    Custom Built Tri Axial Accelerometers Sensortile Turn Key Sensor Modules Steval Stlk01v1, supplied by STMicroelectronics Pte, 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/sensortile/tri+axial+accelerometers+sensortile+turn+key+sensor+modules+steval+stlk01v1/pmc12153667-59-35-42
    Average 90 stars, based on 1 article reviews
    custom-built tri-axial accelerometers sensortile turn-key sensor modules steval-stlk01v1 - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Early diagnosis of frailty: Technological and non-intrusive devices for clinical detection.
    Article Snippet: More recent ideas (Lunardini et al., 2018) are based on a instrumented anti-stress ball, designed and built specifically for the project using an 8-cm diameter soft plastic sphere comprising a SensorTile (© STMicroelectronics, Switzerland).



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    The raw signals of physiological parameters and the norm of the acceleration collected with the instrumented smart shirt of a representative subject during the execution of the lifting task are presented. From top to bottom, the respiration waveform (Resp), the ECG, and the norm of the acceleration (Acc) collected from the REP, the Seismote, and the SensorTile are reported.

    Journal: Wearable Technologies

    Article Title: SenseRisc: An instrumented smart shirt for risk prevention in the workplace

    doi: 10.1017/wtc.2025.10

    Figure Lengend Snippet: The raw signals of physiological parameters and the norm of the acceleration collected with the instrumented smart shirt of a representative subject during the execution of the lifting task are presented. From top to bottom, the respiration waveform (Resp), the ECG, and the norm of the acceleration (Acc) collected from the REP, the Seismote, and the SensorTile are reported.

    Article Snippet: A SensorTile multisensor platform, manufactured by STMicroelectronics, was included in the SenseRisc system.

    Techniques:

    IoT/IoMT-based abnormality and arrhythmia detection.

    Journal: Healthcare

    Article Title: A Systematic Review of Machine Learning and IoT Applied to the Prediction and Monitoring of Cardiovascular Diseases

    doi: 10.3390/healthcare11162240

    Figure Lengend Snippet: IoT/IoMT-based abnormality and arrhythmia detection.

    Article Snippet: SensorTile (STEVAL-STLKT01V1), (STMicroelectronics, Grenoble, France), AD8232 (DFRobot, Shanghai, China), Raspberry Pi (Raspberry Pi Foundation, Cambridge, England, UK) [ ] , Convolutional Neural network (CNN) , Accuracy: 97% Sensitivity: 96.92% Precision: 91.50% F1-Score: 94.89%.

    Techniques: MicroChIP Assay, Plasmid Preparation, Biomarker Discovery