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Using Accelerometric and Gyroscopic Data to Improve Blood Pressure Prediction from Pulse Transit Time Using Recurrent Neural Network
Research article (2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018) · cited 10× · AI/ML
Using Accelerometric and Gyroscopic Data to Improve Blood Pressure Prediction from Pulse Transit Time Using Recurrent Neural Network
Summary
Using Accelerometric and Gyroscopic Data to Improve Blood Pressure Prediction from Pulse Transit Time Using Recurrent Neural Network is a scholarly article[1].
Key Facts
Using Accelerometric and Gyroscopic Data to Improve Blood Pressure Prediction from Pulse Transit Time Using Recurrent Neural Network's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Using Accelerometric and Gyroscopic Data to Improve Blood Pressure Prediction from Pulse Transit Time Using Recurrent Neural Network. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-accelerometric-and-gyroscopic-data-to-improve-blood-pressure-prediction-from-pulse-transit-time-using-recurrent-ne
MLA“Using Accelerometric and Gyroscopic Data to Improve Blood Pressure Prediction from Pulse Transit Time Using Recurrent Neural Network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-accelerometric-and-gyroscopic-data-to-improve-blood-pressure-prediction-from-pulse-transit-time-using-recurrent-ne.
BibTeX@misc{4ortxyz_using-accelerometric-and-gyroscopic-data-to-improve-blood-pressure-prediction-from-pulse-transit-time-using-recurrent-ne_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Accelerometric and Gyroscopic Data to Improve Blood Pressure Prediction from Pulse Transit Time Using Recurrent Neural Network}}, year = {2026}, url = {https://4ort.xyz/entity/using-accelerometric-and-gyroscopic-data-to-improve-blood-pressure-prediction-from-pulse-transit-time-using-recurrent-ne}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using Accelerometric and Gyroscopic Data to Improve Blood Pressure Prediction from Pulse Transit Time Using Recurrent Neural Network — https://4ort.xyz/entity/using-accelerometric-and-gyroscopic-data-to-improve-blood-pressure-prediction-from-pulse-transit-time-using-recurrent-ne (retrieved 2026-05-24)
