A Study on Gait Pattern Identification and MNA Detection Methodologies used for Human Medical Diagnosis using Wearable Sensors

In ambulatory monitoring, different sensors such as pulse oximetry, accelerometer, gyroscope, etc. are used for monitoring probes. Generally, these sensors are used for monitoring daily physical activity, stress, and sleep pattern of the respective probe. However, the measurement obtained from these sensors is highly affected due to motion and noise artifacts (MNAs). This study conducts a survey of various existing methodologies presented for mitigating motion and noise artifact of measurement obtained through wearable sensors. The survey is composed of both supervised and non-supervised techniques used for mitigating MNAs, detecting HAR, and classifying Obstructive Sleep Apnea (OSA) using wearables. This survey further highlights research issues in monitoring probes using wearable sensors and presents a future solution to overcome research issues.