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A public dataset of dogs vital signs recorded with ultra wideband radar and reference sensors.
Ahmed, Shahzad; Yoon, Seongkwon; Cho, Sung Ho.
Afiliação
  • Ahmed S; Department of Electronic Engineering, Hanyang University, Seoul, 04763, South Korea.
  • Yoon S; Department of Electronic Engineering, Hanyang University, Seoul, 04763, South Korea.
  • Cho SH; Department of Electronic Engineering, Hanyang University, Seoul, 04763, South Korea. dragon@hanyang.ac.kr.
Sci Data ; 11(1): 107, 2024 Jan 22.
Article em En | MEDLINE | ID: mdl-38253685
ABSTRACT
Recently, radar sensors have been extensively used for vital sign monitoring in dogs, owing to their noncontact and noninvasive nature. However, a public dataset on dog vital signs has yet to be proposed since capturing data from dogs requires special training and approval. This work presents the first ever ultra wideband radar-based dog vital sign (UWB-DVS) dataset, which was captured in two independent scenarios. In the first scenario, clinical reference sensors are attached to the fainted dogs, and data from UWB radar and reference sensors are captured synchronously. In the second scenario, the dogs can move freely, and video recordings are provided as a reference for movement detection and breathing extraction. For technical validation, a high correlation, above 0.9, is found between the radar and clinical reference sensors for both the heart rate and breathing rate measurements in scenario 1. In scenario 2, the vital signs and movement of the dogs are shown in the form of dashboards, demonstrating the long-term monitoring capability of the radar sensor.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cães / Sinais Vitais Tipo de estudo: Diagnostic_studies Limite: Animals Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cães / Sinais Vitais Tipo de estudo: Diagnostic_studies Limite: Animals Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article