LATEST PROJECTS
Project | 01
Project | 01 Wearable PPG Based Cardio-Respiratory Monitoring
Accurate and reliable monitoring of cardiorespiratory signals like heart rate (HR), respiratory rate (RR), blood oxygen saturation, and blood pressure without disturbing the normal activities of patients, is a task of interest for pervasive healthcare. It is also important for patients having long-term cardiorespiratory diseases in the intensive care units (ICUs), critical care units (CCUs), emergency departments, and in clinical settings [3]. We are working towards monitoring cardio-respiratory biomarkers using wearable PPG signals.
Project | 02
Project | 02 Sleep Quality Monitoring Using Wearable Devices
Sleep quality has a significant impact on human mental and physical health. The detection of sleep states is thus of paramount importance in the study of sleep. The gold standard method for sleep-wake classification is multi-sensor-based polysomnography (PSG) which is normally recorded in clinical settings. The main drawbacks of PSG are the inconvenience to the subjects, the impact of discomfort on normal sleep cycles, and its requirement for experts' interpretation. We aim to design an automated approach for sleep stage classification using wearable photoplethysmographic signals.
Project | 03
Project | 03 Consumer Tablets for Monitoring Neurological Disorders
Essential tremor (ET) is diagnosed and monitored by movement disorder specialists based on clinical observations. While many ET cases are benign, some require pharmacological and surgical management, and there is a need for tools to assist clinicians in making informed decisions. This work aimed to develop a computerized technique to detect the presence and severity of ET as well as other neurological diseases such as Parkinson's and Alzheimer's diseases.