Negar Golestani

Early-onset type 2 diabetes (EOD), defined as type 2 diabetes diagnosed before age 45 years, is a growing public health concern.1 Approximately 6 million adults aged 18 to 44 years in the US have diabetes, including 2 million who remain undiagnosed.2 Nearly 33 million adults aged 18 to 44 years have prediabetes (preDM).2 EOD is particularly harmful because it leads to earlier onset of complications than type 2 diabetes diagnosed later in life.1 Adolescence is a critical period for prevention...

Abstract Recognizing human physical activities using wireless sensor networks has attracted significant research interest due to its broad range of applications, such as healthcare, rehabilitation, athletics, and senior monitoring. There are critical challenges inherent in designing a sensor-based activity recognition system operating in and around a lossy medium such as the human body to gain a trade-off among power consumption, cost, computational complexity, and accuracy.