2 papers
stat.ML2018
End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using Wearables
Igor Gotlibovych, Stuart Crawford, Dileep Goyal +6
We present a convolutional-recurrent neural network architecture with long short-term memory for real-time processing and classification of digital sensor data. The network implici…
cs.LG2018
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction
Brandon Ballinger, Johnson Hsieh, Avesh Singh +8
We train and validate a semi-supervised, multi-task LSTM on 57,675 person-weeks of data from off-the-shelf wearable heart rate sensors, showing high accuracy at detecting multiple…