Lung-sound signal processing method, processing device, and readable storage medium
AssigneeBoe Technology Group Co., Ltd.
InventorsXue Chen, Zhenzhong Zhang, Wei Deng
Life of this patent
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Abstract
A lung-sound signal processing method, device and computer-readable storage medium. The lung-sound processing method includes: obtaining a lung sound signal; decomposing the lung sound signal, to obtain a crackle-sound component and a respiration-sound component; obtaining an inspiratory-phase period based on the respiration-sound component; extracting a crackle-sound signal located in the inspiratory-phase period from the crackle-sound component; and obtaining at least one feature parameter according to the crackle-sound signal.
Claims19
A computer-implementing lung-sound signal processing method, comprising:
- obtaining a lung sound signal from a lung sound signal detector;
- decomposing the lung sound signal by using an empirical mode decomposition algorithm, to obtain a crackle-sound component and a respiration-sound component;
- obtaining an inspiratory-phase period based on the respiration-sound component;
- extracting a crackle-sound signal located in the inspiratory-phase period from the crackle-sound component;
- and
- obtaining at least one feature parameter according to the crackle-sound signal,
- wherein the obtaining at least one feature parameter according to the crackle-sound signal includes:
- obtaining at least one time-domain feature parameter, the at least one time-domain feature parameter includes an ending time ratio (ETR) of an ending time of the crackle-sound signal to the inspiratory-phase period, wherein the ETR is calculated as:
- ETR
- =
- T
- ending
- T
- inspiration
- wherein Tending denotes a time duration from a starting time of a stationary respiration cycle to a time when a last crackle sound appears within the inspiratory-phase period, Tinspiration denotes a time duration of the inspiratory-phase period.
A computer readable storage medium, configured to store computer instructions, the computer instructions, when executed by a processor, causing the processor to implement one or more operations including:
- obtaining a lung sound signal from a lung sound signal detector;
- decomposing the lung sound signal by using an empirical mode decomposition algorithm, to obtain a crackle-sound component and a respiration-sound component;
- obtaining an inspiratory-phase period based on the respiration-sound component;
- extracting a crackle-sound signal located in the inspiratory-phase period from the crackle-sound component;
- and
- obtaining at least one feature parameter according to the crackle-sound signal,
- wherein the obtaining at least one feature parameter according to the crackle-sound signal, includes:
- obtaining at least one time-domain feature parameter, the at least one time-domain feature parameter includes an ending time ratio (ETR) of an ending time of the crackle-sound signal to the inspiratory-phase period, wherein the ETR is calculated as:
- ETR
- =
- T
- ending
- T
- inspiration
- wherein Tending denotes a time duration from a starting time of a stationary respiration cycle to a time when a last crackle sound appears within the inspiratory-phase period, Tinspiration denotes a time duration of the inspiratory-phase period.
A lung-sound signal processing device, comprising one or more processors, the one or more processors being configured to run computer instructions so as to execute one or more operations including:
- obtaining a lung sound signal from a lung sound signal detector;
- decomposing the lung sound signal by using an empirical mode decomposition algorithm, to obtain a crackle-sound component and a respiration-sound component;
- obtaining an inspiratory-phase period based on the respiration-sound component;
- extracting a crackle-sound signal located in the inspiratory-phase period from the crackle-sound component;
- and
- obtaining at least one feature parameter according to the crackle-sound signal,
- wherein the obtaining at least one feature parameter according to the crackle-sound signal, includes:
- obtaining at least one time-domain feature parameter, the at least one time-domain feature parameter includes an ending time ratio (ETR) of an ending time of the crackle-sound signal to the inspiratory-phase period, wherein the ETR is calculated as:
- E
-
- T
-
- R
- =
- T
- ending
- T
- inspiration
- wherein Tending denotes a time duration from a starting time of a stationary respiration cycle to a time when a last crackle sound appears within the inspiratory-phase period, Tinspiration denotes a time duration of the inspiratory-phase period.
Dependencies are inferred from the claim text.