Abstract: A lung sound monitoring device is provided. The lung sound monitoring device includes an acoustic sensor and a processor. The acoustic sensor is configured to capture the chest cavity sound of a subject at a first monitoring position on the subject and convert the chest cavity sound into a first chest cavity sound signal. The processor is configured to receive the first chest cavity sound signal and perform a filter process to obtain a first lung sound signal, and convert the first lung sound signal into a first lung sound spectrum using time-domain frequency-domain conversion. The processor acquires a first intensity index according to the first lung sound spectrum, and outputs a prompt signal according to the first intensity index to indicate whether the first monitoring position is a qualified monitoring position.

Abstract: A method for marking adventitious sounds is provided. The method includes: receiving a lung sound signal generated by a sensor from a chest cavity sound signal; capturing a lung sound signal segment from the lung sound signal every sampling time interval; converting the lung sound signal segments into spectrograms; inputting the spectrograms into a recognition model to determine whether the spectrograms include adventitious sounds; obtaining time points of occurrence corresponding to the adventitious sounds according to abnormal spectrograms including the adventitious sounds, and the number of occurrences of the adventitious sounds corresponding to the time points; and marking an adventitious sound signal segment having the highest probability of occurrence of the adventitious sound in the lung sound signal according to the time points and the number of occurrences.

Abstract: A lung sound monitoring device is provided. The lung sound monitoring device includes an acoustic sensor and a processor. The acoustic sensor is configured to capture the chest cavity sound of a subject at a first monitoring position on the subject and convert the chest cavity sound into a first chest cavity sound signal. The processor is configured to receive the first chest cavity sound signal and perform a filter process to obtain a first lung sound signal, and convert the first lung sound signal into a first lung sound spectrum using time-domain frequency-domain conversion. The processor acquires a first intensity index according to the first lung sound spectrum, and outputs a prompt signal according to the first intensity index to indicate whether the first monitoring position is a qualified monitoring position.

Abstract: A body motion analysis system is provided. The body motion analysis system includes a pressure sensing plate, a data transmission device, and a data processing device. Two of the user's body parts exert pressure on the pressure sensing plate and the pressure sensing plate senses the pressure to output pressure distribution data. The pressure sensing plate transmits pressure-distribution stream data to the data processing device according to the pressure distribution data. The data processing device processes the pressure-distribution stream data to obtain sports performance of the user.

Abstract: A body motion analysis system is provided. The body motion analysis system includes a pressure sensing plate, a data transmission device, and a data processing device. Two of the user's body parts exert pressure on the pressure sensing plate and the pressure sensing plate senses the pressure to output pressure distribution data. The pressure sensing plate transmits pressure-distribution stream data to the data processing device according to the pressure distribution data. The data processing device processes the pressure-distribution stream data to obtain sports performance of the user.