Work

Drink-PulseNet: Recognize Drinking Status with Pulse Wave-Based Learning Method

Year: 2024

Type: conference-paper

Source: Cross Strait Radio Science and Wireless Technology Conference (CSRSWTC)

DOI: 10.1109/csrswtc64338.2024.10811642

Authors: Kexin Zhou, Junsheng Yu

Institution: Beijing University of Posts and Telecommunications

Language: English

Topic: Non-Invasive Vital Sign Monitoring

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4405908477

FWCI:

Cites: 8

Cited by:

Related to: 10