Data Collection and Statistical Analysis Methods in Sensor-Based Healthcare

Abstract

The integration of sensor technology in healthcare has revolutionized data collection, allowing real-time and high-resolution patient information. Statistical techniques and methodologies in sensor-based healthcare cover experimental design, statistical power analysis, and data preprocessing for quality assurance. Statistical modeling encompasses regression, time series analysis, and machine learning for relationship exploration and predictive modeling. Advanced topics like Bayesian statistics, sensor fusion, feature selection, and anomaly detection further enhance analysis capabilities, promising improved patient care and personalized treatment strategies.