All Outputs (5)

Noise from Unconventional Aircraft: A Review of Current Measurement Techniques, Psychoacoustics, Metrics and Regulation (2023)
Journal Article
Lotinga, M. J. B., Ramos-Romero, C., Green, N., & Torija, A. J. (2023). Noise from Unconventional Aircraft: A Review of Current Measurement Techniques, Psychoacoustics, Metrics and Regulation. Current Pollution Reports, 9(4), 724-745. https://doi.org/10.1007/s40726-023-00285-4

Purpose of Review: This review aims to evaluate and discuss the current advances in the measurement and assessment of the noise generated by unconventional aircraft, such as unmanned aircraft systems (UAS) and urban air mobility (UAM) vehicles. Build... Read More about Noise from Unconventional Aircraft: A Review of Current Measurement Techniques, Psychoacoustics, Metrics and Regulation.

On-field measurement for sUAS noise characterization (2023)
Journal Article
Ramos Romero, C., Green, N., Asensio, C., & Torija, A. (2023). On-field measurement for sUAS noise characterization. https://doi.org/10.61782/fa.2023.0248

With the imminent introduction of multi-rotor aircraft systems in airspace and the expectation of their operation near urban areas, noise emissions from this new type of noise sources have become an important research topic, mainly because they h... Read More about On-field measurement for sUAS noise characterization.

On-field noise measurements and acoustic characterisation of multi-rotor small unmanned aerial systems (2023)
Journal Article
Ramos-Romero, C., Green, N., Torija, A. J., & Asensio, C. (2023). On-field noise measurements and acoustic characterisation of multi-rotor small unmanned aerial systems. Aerospace science and technology, 141, 108537. https://doi.org/10.1016/j.ast.2023.108537

The noise signature of small Unmanned Aerial Systems (sUAS) is highly influenced by specific operating and weather conditions. Accurate noise assessment of sUAS operations requires field noise measurements that capture all the compl... Read More about On-field noise measurements and acoustic characterisation of multi-rotor small unmanned aerial systems.

Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: A systematic review (2023)
Journal Article
Sigcha, L., Borzì, L., Amato, F., Rechichi, I., Ramos-Romero, C., Cárdenas, A., …Olmo, G. (2023). Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: A systematic review. Expert systems with applications, 229, 120541. https://doi.org/10.1016/j.eswa.2023.120541

Parkinson’s disease (PD) is a neurodegenerative disorder that produces both motor and non-motor complications, degrading the quality of life of PD patients. Over the past two decades, the use of wearable devices in combination with machine learning a... Read More about Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: A systematic review.

Advances in the Measurement and Human Response to Noise of Unmanned Aircraft Systems (2023)
Journal Article
Green, N., Ramos-Romero, C., & Torija Martinez, A. (2023). Advances in the Measurement and Human Response to Noise of Unmanned Aircraft Systems. SAE Technical Papers, https://doi.org/10.4271/2023-01-1108

The sound produced by Unmanned Aerial Systems (known as UAS or Drones) is often considered to be one of the main barriers (alongside privacy and safety concerns) preventing the widespread use of these vehicles in environments where they may be in clo... Read More about Advances in the Measurement and Human Response to Noise of Unmanned Aircraft Systems.