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Analgesic control method and device based on speech recognition

A control device and voice recognition technology, applied in electrotherapy, treatment and other directions, can solve the problems of poor feedback effect, inconvenient use, not so easy, etc., to relieve mental emotions, relieve labor pain, and facilitate the feedback process.

Active Publication Date: 2018-08-21
GUANGZHOU SUNRAY MEDICAL APP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, this method requires the use of sensors that can collect signals of maternal abdominal contractions, and the sensors must be placed in the obstetric abdomen, which is inconvenient to use
Moreover, it is required that the collection of uterine contraction pressure must be reliable, otherwise the feedback effect will be poor, but this is not so easy for pregnant women who are in pain

Method used

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  • Analgesic control method and device based on speech recognition
  • Analgesic control method and device based on speech recognition
  • Analgesic control method and device based on speech recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] refer to figure 1 , the present embodiment provides a voice recognition-based analgesic control method, characterized in that, comprising the following steps:

[0041] A1, collecting voice clips;

[0042] A2. Analyze the analgesic waveform type or intensity information corresponding to the current speech segment;

[0043] A3. According to the currently output analgesic waveform type, combined with the analgesic waveform type or intensity information corresponding to the current speech segment analyzed in step A2, update the output type or intensity of the analgesic waveform.

[0044] The invention patent CN102940934B with the date of authorization announcement on November 19, 2014 provides a biofeedback type labor pain relief device, which discloses a configuration method of analgesia waveform:

[0045] "Step 31: Set the shape parameters of the basic waveforms of each combination of the low-frequency modulation wave group;

[0046] Step 32: Set the combination order ...

Embodiment 2

[0075] refer to image 3 As shown, the difference between this embodiment and Embodiment 1 lies in the improvement of the feedback control method. It is characterized in that the output type of the analgesic waveform is updated in the step A3, and it also includes: if the analgesic waveform corresponding to the current speech segment The waveform type is different from the currently output analgesic waveform type, and it is judged whether the continuous output time of the currently output analgesic waveform is greater than the timer Tb, and the timer Tb is the minimum continuous output time of the same type of analgesic waveform. device;

[0076] If yes, update the output type of the analgesic waveform to be the analgesic waveform type corresponding to the current speech segment category, and restart the timer Tb;

[0077] If not, keep the output type of the analgesic waveform unchanged, and the timer Tb continues.

[0078] In this embodiment, when different types of speech ...

Embodiment 3

[0080] refer to Figure 4 As shown, the difference between this embodiment and Embodiment 2 lies in the improvement of the feedback control method. It is characterized in that the output type of the analgesic waveform is updated in the step A3, and it also includes: if the current output analgesic waveform The continuous output time is not greater than the timer Tb, and it is judged whether the analgesic waveform category corresponding to the speech segment analyzed within the specified time exceeds the predetermined number of times with this same number of times;

[0081] If yes, update the output type of the analgesic waveform to be the analgesic waveform type corresponding to the current speech segment category, and restart the timer Tb;

[0082] If not, keep the output type of the analgesic waveform unchanged, and the timer Tb continues.

[0083] In this embodiment, even if the output of the analgesic waveform before the judgment does not meet the minimum time limit requi...

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Abstract

The invention provides a speech recognition-based analgesia control method, and is characterized by including the steps of: collecting a speech fragment; analyzing analgesia waveform type or intensity information corresponding to the current speed fragment; and updating the output type or intensity of an analgesia waveform. The invention also provides a device based on the speech recognition-based analgesia control method, includes a feedback unit, and is characterized in that the feedback unit includes a speech acquisition module, a speech fragment classification module and a waveform control module. The speech recognition-based analgesia control method and the device thereof can enable a whole feedback process to be more natural; no other devices need to be attached to a body of a parturient, no other influence is caused to the parturient, and the whole feedback process is more convenient; and some interaction and interestingness can be increased, thereby alleviating nervous spirit of the parturient, contributing to relieving delivery aches, and promoting natural delivery.

Description

technical field [0001] The invention relates to the field of medical analgesia, in particular to a speech recognition-based analgesia control method and a device thereof. Background technique [0002] In the medical pain index, labor pain is second only to burn pain. According to statistics, about 44% of primiparas feel pain during childbirth. In the current labor analgesic methods and devices, the judgment of the degree of labor pain is generally based on the strength of uterine contraction activity or some other related indicators. The invention patent CN102940934B with the date of authorization announcement on November 19, 2014 provides a biofeedback physical labor analgesia device, which uses uterine contraction pressure and maternal hand pressure as the basis for electric stimulation wave group adjustment. The automatic identification of uterine contractions can realize the automation of labor analgesia, which can reduce the workload of medical staff, reduce the waiti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61N1/34
Inventor 容敬波陆尧胜齐建国
Owner GUANGZHOU SUNRAY MEDICAL APP
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