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BMI320
+Lista de Materiais-
FabricanteBosch Sensortec
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Peça do Fabricante #BMI320
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Em Estoque22314
365 Garantia de Qualidade em 1 dia
7*24 Garantia de serviço em 24 horas
90-Garantia de pós-venda em 1 dia
Garantia de Produto Genuíno
Especificações
| Atributo | Valor |
| Manufacturer | Bosch Sensortec |
| Package / Case | LGA-14(3x2.5) |
Visão Geral
Description
BMI320 is a course focused on biomedical informatics, integrating data science, machine learning, and healthcare applications. It covers key topics like:
- Medical data analysis (imaging, genomics, EHRs)
- Machine learning in healthcare (predictive modeling, AI ethics)
- Biomedical signal processing (ECG, EEG, wearable data)
- Regulatory and ethical considerations (HIPAA, FDA guidelines)
Students gain hands-on experience with tools like Python, TensorFlow, and clinical datasets, preparing them for roles in digital health, bioinformatics, or AI-driven medicine. Prerequisites typically include basic programming and statistics.
Equivalent
- STMicroelectronics LSM6DSOX (6-axis IMU)
- TDK InvenSense ICM-42688 (6-axis IMU)
- Analog Devices ADIS16470 (high-performance IMU)
- NXP FXAS21002 + FXOS8700 (gyro + accel combo)
These offer similar motion-sensing capabilities for applications like wearables, drones, and IoT devices. Choose based on power, precision, and interface needs.
Features
- 6-axis motion tracking: Combines a 16-bit accelerometer (up to ±16g) and 16-bit gyroscope (up to ±2000 dps).
- Low power consumption: Optimized for battery-operated devices (e.g., wearables, IoT).
- Smart on-chip features: Includes sensor fusion, activity recognition, and interrupt-driven wake-up for efficient processing.
- Compact size: Small 3.0 × 2.5 × 0.8 mm³ package for space-constrained designs.
- Robust performance: High shock resilience and stable operation in dynamic conditions.
- I²C/SPI interfaces: Flexible communication with host systems.
- Wide voltage range: Supports 1.71V–3.6V for versatile power options.
Ideal for fitness trackers, AR/VR, drones, and industrial motion sensing.