A Review of Deep Learning Methods for Photoplethysmography Data
Photoplethysmography (PPG) is a highly promising device due to its advantages in
portability, user-friendly operation, and non-invasive capabilities to measure a wide range of …
portability, user-friendly operation, and non-invasive capabilities to measure a wide range of …
Weighted knowledge distillation of attention-LRCN for recognizing affective states from PPG signals
The recognition of affective states is important for regulating stress levels and maintaining
mental health, and it is known that affective states can be inferred from physiological signals …
mental health, and it is known that affective states can be inferred from physiological signals …
Advancing PPG-based cf-PWV estimation with an integrated CNN-BiLSTM-Attention model
Carotid-to-femoral pulse wave velocity (cf-PWV) is essential for assessing arterial stiffness
and managing cardiovascular diseases (CVDs). Traditional cf-PWV measurement methods …
and managing cardiovascular diseases (CVDs). Traditional cf-PWV measurement methods …
Real-Time Stress Detection from Raw Noisy PPG Signals Using LSTM Model Leveraging TinyML
A Rostami, B Tarvirdizadeh, K Alipour… - Arabian Journal for …, 2024 - Springer
The negative effects of stress on well-being demonstrate the need for real-time detection.
The increasing prevalence of wearables with AI capabilities to continually monitor vital signs …
The increasing prevalence of wearables with AI capabilities to continually monitor vital signs …
Evolutionary Stress Detection Framework through Machine Learning and IoT (MLIoT-ESD)
M Bansal, V Vyas - Recent Patents on Engineering, 2024 - ingentaconnect.com
Background: Life nowadays is full of stress due to lifestyle changes and the modernera race.
Almost everyone around us is suffering from stress and anxiety. Mostly, stress identification …
Almost everyone around us is suffering from stress and anxiety. Mostly, stress identification …
Psychological Stress Assessment Method Based on Learning Using Privileged Information Framework
P Wang, Z Chen, X Jiang, Y Song - Proceedings of the 2023 8th …, 2023 - dl.acm.org
At present, research mainly uses single modal and multimodal physiological signals to
identify human psychological states, but these methods generally have the drawbacks of low …
identify human psychological states, but these methods generally have the drawbacks of low …