Sujit Dey

Personalized Blood Pressure Estimation Using Photoplethysmography: A Transfer Learning Approach

IEEE Journal of Biomedical and Health Informatics · 2021 · 131 citations

In this paper, we present a personalized deep learning approach to estimate blood pressure (BP) using the photoplethysmogram (PPG) signal. We propose a hybrid neural network architecture consisting of convolutional, recurrent, and fully connected layers that operates directly on the raw PPG time series and provides BP estimation every 5 seconds. To address the problem of limited personal PPG and BP data for individuals, we propose a transfer learning technique that personalizes specific layers o…

Personalized machine learning of depressed mood using wearables

Translational Psychiatry · 2021 · 112 citations

Depression is a multifaceted illness with large interindividual variability in clinical response to treatment. In the era of digital medicine and precision therapeutics, new personalized treatment approaches are warranted for depression. Here, we use a combination of longitudinal ecological momentary assessments of depression, neurocognitive sampling synchronized with electroencephalography, and lifestyle data from wearables to generate individualized predictions of depressed mood over a 1-month…

The Effect of an AI-Based, Autonomous, Digital Health Intervention Using Precise Lifestyle Guidance on Blood Pressure in Adults With Hypertension: Single-Arm Nonrandomized Trial

JMIR Cardio · 2024-05-28 · 27 citations

BACKGROUND: Home blood pressure (BP) monitoring with lifestyle coaching is effective in managing hypertension and reducing cardiovascular risk. However, traditional manual lifestyle coaching models significantly limit availability due to high operating costs and personnel requirements. Furthermore, the lack of patient lifestyle monitoring and clinician time constraints can prevent personalized coaching on lifestyle modifications. OBJECTIVE: This study assesses the effectiveness of a fully digita…

Attention-Based Multi-Modal Multi-View Fusion Approach for Driver Facial Expression Recognition

IEEE Access · 2024-01-01 · 9 citations

As Advanced Driver Assistance Systems (ADAS) become increasingly intelligent, facial expression recognition (FER) has become a significant requirement for the purpose of monitoring a driver’s emotional state as well as fatigue level. An automobile system with FER is very useful in improving transportation safety by recognizing the driver’s state to provide timely alerts and potentially reduce the likelihood of accidents. While deep neural networks (DNN) based systems have achieved high accuracy…

Optimal Vehicle Charging in Bilevel Power-Traffic Networks via Charging Demand Function

IEEE Transactions on Smart Grid · 2023-10-24 · 8 citations

Electric vehicle (EV) charging couples the operation of power and traffic networks. Specifically, the power network determines the charging price at various locations, while EVs on the traffic network optimize the charging power given the price, acting as price-takers. We model such decision-making processes by a bilevel program, with the power network at the upper-level and the traffic network at the lower-level. However, since the two networks are managed by separate entities and the charging…