阅读说明：本技术 织物传感针织智能服工艺设计及表面肌电监测方法 (Fabric sensing knitted intelligent garment process design and surface myoelectricity monitoring method ) 是由 张佳慧 王建萍 王竹君 郑一明 于 2019-12-04 设计创作，主要内容包括：本发明涉及一种基于织物传感原理的针织智能服装工艺设计及表面肌电监测方法,包括以下步骤：针织智能服装整体规格设计；针织智能服装的电极部位设计；上机织造及后整理；电极中心位置钉扣；基于针织智能服装的表面肌电信号采集。经验证,采用本发明研发的智能服装与Ag/AgCl凝胶电极采集的肌电信号相关系数可高达0.6481,可用于运动过程中实时监测表面肌电信号,从而指导消费者在正确的姿势和状态下进行运动。本发明有利于拓展智能服装的新品类和新功能,同时为表面肌电采集技术的发展提供更多可能,带动智能服装多领域多方向发展并满足消费者的多样化消费需求,为智能服装迅速开辟和扩大市场起到积极促进作用。(The invention relates to a knitted intelligent garment process design and surface myoelectricity monitoring method based on a fabric sensing principle, which comprises the following steps of: designing the integral specification of the knitted intelligent garment; designing an electrode part of the knitted intelligent garment; weaving on a machine and finishing; the center of the electrode is nailed; the method is based on surface electromyographic signal acquisition of the knitted intelligent garment. Through verification, the correlation coefficient of the electromyographic signals acquired by the intelligent garment and the Ag/AgCl gel electrode can reach 0.6481, and the intelligent garment can be used for monitoring the surface electromyographic signals in real time in the movement process, so that a consumer is guided to move in a correct posture and state. The invention is beneficial to expanding new types and functions of intelligent clothes, provides more possibility for the development of the surface myoelectricity acquisition technology, drives the multi-field multi-directional development of the intelligent clothes, meets the diversified consumption requirements of consumers, and plays a positive role in promoting the quick development and market expansion of the intelligent clothes.)

1. A fabric sensing knitted intelligent garment process design and surface myoelectric monitoring method is characterized by comprising the following steps:

step 1, designing the overall specification of the knitted intelligent garment;

step 2, designing electrode parts of the knitted intelligent garment, wherein the electrode parts are determined to be positioned on the knitted intelligent garment, and the size and the organizational structure of the electrode parts are designed;

step 3, weaving the knitted intelligent garment on the machine based on the design of the step 1 and the step 2, and performing after-treatment on the woven knitted intelligent garment, wherein the electrode part of the knitted intelligent garment is woven by taking the yarn for weaving the knitted intelligent garment as a substrate and taking the conductive yarn as plating yarn;

step 4, sewing metal buttons on the same conductive yarns at the center positions of the paired electrodes to serve as signal transmission points, so that the electrodes can be conveniently connected with the surface electromyographic sensors;

and 5, connecting surface electromyography sensors on the metal buckles of the paired electrodes, and collecting surface electromyography signals by using the surface electromyography sensors.

2. The fabric sensing knitted intelligent garment process design and surface electromyography monitoring method according to claim 1, wherein in step 1, designing the overall specification of the knitted intelligent garment comprises designing specification parameters and a tissue structure of the knitted intelligent garment.

3. The process design and surface electromyography monitoring method for fabric sensing knitted intelligent clothes according to claim 1, wherein in step 3, the post-finishing comprises evenly distributing and stranding the excessive conductive yarn floats on the back of the electrode after the knitted intelligent clothes finished by weaving is taken off the machine, and fixing the yarns by using a double-sided conductive adhesive tape.

4. The method for process design and surface electromyography monitoring of fabric sensing knitted intelligent garment according to claim 1, further comprising, after step 3 and before step 4, the steps of:

and carrying out subsequent process treatment on the knitted intelligent garment as required, and controlling the temperature during treatment to avoid the overhigh temperature from oxidizing the conductive yarns, thereby ensuring the accuracy of data acquisition.

5. The fabric sensing knitted intelligent garment process design and surface electromyography monitoring method according to claim 1, wherein in step 5, the skin of the detected part is preprocessed before the surface electromyography signal is acquired, so that the back of the electrode of a subject wearing the knitted intelligent sportswear is in full contact with the skin of the detected muscle, and the position of the electrode is finely adjusted to be located at the center of the detected muscle and consistent with the direction of the fibromuscular muscle, so that the accuracy of acquiring the surface electromyography signal is improved.

Technical Field

The invention relates to a design method of an intelligent wearable garment based on a fabric sensing technology, in particular to an intelligent garment design and monitoring method capable of being used for real-time monitoring of human body surface electromyographic signals.

Background

The increasing popularization of cloud computing pushes the information technology to change to the internet of things era, and people begin to pay more attention to health and monitor human physiological signals by using the latest intelligent technology. Intelligent clothing is popular because of its ability to monitor human physiological activity information and external environment information for a long time, dynamically and "unconsciously". In recent years, smart clothing is coming close to the lives of users in various forms, providing convenient and intelligent entertainment and monitoring services, of which disease prevention and exercise management are the most prevalent trends. However, the existing intelligent clothes have single function and fewer types, and the problems of obtrusive feeling and the like caused by that electrode sensors are mostly fixed on the clothes in a later-period embedding mode still cannot meet the increasing consumption requirements and are difficult to form dependence on the intelligent clothes, so that the further research and development of new processes and new functions of the intelligent clothes are particularly important for breaking through the industrial bottleneck.

The surface electromyography technology is widely applied to the motor nerve field due to the non-invasive and time-efficient characteristics. During movement, muscle fatigue can be predicted by monitoring myoelectric signals on the surface of a human body in real time, over-training is avoided, and the adjustment of movement postures is more helpful for forming a good movement habit, but currently, the most common gel electrode for collecting the myoelectric signals can cause skin allergy, gel can be dried after long-term use, the myoelectric signals cannot be monitored in real time for a long time, and the gel can not be reused, so that the further development of the technology is limited.

Disclosure of Invention

The purpose of the invention is: a novel method for designing the knitted intelligent garment process is created based on the fabric sensing technology, real-time monitoring of surface electromyographic signals in the exercise process is achieved, more possibilities are provided for surface electromyographic signal acquisition, different requirements of consumers are met in various intelligent directions, and development of the intelligent garment is actively promoted.

In order to achieve the aim, the technical scheme of the invention is to provide a fabric sensing knitted intelligent clothing process design and surface myoelectricity monitoring method, which is characterized by comprising the following steps:

step 1, designing the overall specification of the knitted intelligent garment;

step 2, designing electrode parts of the knitted intelligent garment, wherein the electrode parts are determined to be positioned on the knitted intelligent garment, and the size and the organizational structure of the electrode parts are designed;

step 3, weaving the knitted intelligent garment on the machine based on the design of the step 1 and the step 2, and performing after-treatment on the woven knitted intelligent garment, wherein the electrode part of the knitted intelligent garment is woven by taking the yarn for weaving the knitted intelligent garment as a substrate and taking the conductive yarn as plating yarn;

step 4, sewing metal buttons on the same conductive yarns at the center positions of the paired electrodes to serve as signal transmission points, so that the electrodes can be conveniently connected with the surface electromyographic sensors;

and 5, connecting surface electromyography sensors on the metal buckles of the paired electrodes, and collecting surface electromyography signals by using the surface electromyography sensors.

Preferably, in step 1, designing the overall specification of the knitted intelligent garment comprises designing the specification parameters and the texture structure of the knitted intelligent garment.

Preferably, in step 3, the post-finishing includes, after the knitted intelligent garment finished by weaving is taken off from the machine, evenly distributing and stranding the excessive conductive yarn floats on the back of the electrode, and fixing by using a double-sided conductive adhesive tape.

Preferably, after the step 3 and before the step 4, the following steps are further included:

and carrying out subsequent process treatment on the knitted intelligent garment as required, and controlling the temperature during treatment to avoid the overhigh temperature from oxidizing the conductive yarns, thereby ensuring the accuracy of data acquisition.

Preferably, in step 5, the skin of the detected part is preprocessed before the surface electromyogram signal is acquired, so that the back of the electrode of the subject wearing the knitted intelligent sports wear is in full contact with the skin of the detected muscle, and the position of the electrode is finely adjusted to be located at the center of the detected muscle and consistent with the direction of the fibromuscular muscle, so as to improve the accuracy of the surface electromyogram signal acquisition.

Due to the adoption of the technical scheme, the invention has the following advantages and positive effects: the invention creates a new method for process design and surface electromyogram signal monitoring of the knitted intelligent garment based on the fabric sensing principle, is beneficial to further expanding new types and new functions of the intelligent garment, and provides more development possibilities for the surface electromyogram acquisition technology. The intelligent garment developed by the invention can monitor the surface myoelectric signals in real time in the exercise process, so that a consumer is guided to exercise in a correct posture and state, multi-directional development of multiple fields of the intelligent garment is driven, different requirements of the consumer are met, and the intelligent garment plays a positive promoting role in rapidly opening up and expanding the market.

Drawings

FIG. 1 is a flow chart of an implementation of the present invention;

FIG. 2 is a schematic diagram of a fabric electrode based smart leg cuff donning;

FIG. 3a is a time domain diagram of Ag/AgCl electrode sEMG in a resting state;

fig. 3b is a time domain diagram of smart leg cuffs sEMG in a resting state;

FIG. 4a is a time domain diagram of the Ag/AgCl electrode sEMG in a standing state;

fig. 4b is a time domain diagram of smart leg cuff sEMG in a standing position;

FIG. 5a is a time domain comparison graph of Ag/AgCl electrodes and smart leg sleeves sEMG in a walking state;

FIG. 5b is a graph comparing the Ag/AgCl electrode and smart leg cuff sEMG power spectral density in a walking state;

FIG. 6a is a time domain comparison graph of Ag/AgCl electrodes and smart leg cuff sEMG in jogging condition;

FIG. 6b is a graph of the Ag/AgCl electrode and smart leg cuff sEMG power spectral density versus jogging.

Detailed Description

The invention will be further illustrated with reference to the following specific examples. It should be understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and such equivalents may fall within the scope of the present invention as defined in the appended claims.

The present embodiment further describes the present invention by taking the process design of the intelligent motion leg sleeve based on the fabric electrode and the method for collecting the electromyographic signals of the surface of the lower leg as an example:

(1) integral specification design of fabric sensing intelligent leg sleeve

Drawing a dis organizational chart by using Photon software and programming by using Quasarl software to design the overall specification parameters and the organizational structure of the fabric sensing intelligent leg sleeve.

a. Design of specification parameters

The intelligent leg sleeve developed in this embodiment is suitable for being manufactured by a circular knitting machine, the number of courses is set to be 144 according to the adopted Santoni Goal615D circular knitting machine (3.75 inches of a needle cylinder, 0.85GG of a needle pitch and 144 needles per revolution), and other specification parameters are set as shown in table 1.

TABLE 1 leg cover Specification parameters settings

Location of a body part	Number of revolutions per revolution	Density motor parameters	Rubber band motor parameters
				Upper rib top	65	370	1400
Leg cover body	284	300	1400→600
				Lower rib top	43	300	600

b. Tissue design

The main body tissue of the leg sleeve adopts a liner plain stitch tissue, the upper rib top adopts a double-layer liner plain stitch tissue, and the lower rib top adopts a double-layer weft insertion rib weave tissue.

(2) Electrode position design of fabric sensing intelligent leg sleeve

The electrode position, size and organization structure of the intelligent leg sleeve are designed in Photon software.

a. Electrode position design

The gastrocnemius on the outer side of the calf is selected as a collection point, and the electrodes are designed in pairs, are arranged in the center of the body of the tested muscle and are consistent with the direction of muscle fibers.

b. Size design

The circular fabric electrode was designed to avoid edge effects, with 16 x 32 columns.

c. Tissue design

The electrode part is plated by 1 x 1 stripe weave, and the weave structure is shown in figure 1.

(3) Weaving on machine and after finishing

This example was woven using a circular knitting machine, model GOAL615D, SANTONI, italy, with the yarn configuration during weaving as shown in table 2.

TABLE 2 yarn configuration

Yarn type	Yarn	Number of threads	Threading position
				Ground yarn	44dtex/44dtex/44dtex nylon/spandex double-covered yarn	1	Main color port 1# yarn nozzle
Face yarn	78dtex/2 chinlon yarn	2	8# yarn nozzle with main color opening
				Tying line	78dtex/2 chinlon yarn	1	Main color port 5# tying
Rubber band	311dtex/44dtex/44dtex nylon/spandex double-covered yarn	1	Rubber band yarn nozzle
				Conductive yarn	222dtex silver-plated nylon yarn	1	2# color port 1# yarn nozzle

The knitted intelligent leg sleeve product after being off-line needs to be further sleeved on a standard leg mould for heat setting and finishing.

(4) Nail button at center of electrode

A pair of metal buckles sewn on 222dtex silver-plated nylon yarns are used as signal transmission points at the center positions of paired electrodes of the intelligent leg sleeves, so that the intelligent leg sleeves are conveniently connected with the surface electromyographic sensors.

(5) Surface electromyogram signal acquisition and application verification based on intelligent leg sleeve

The test site was depilated and wiped repeatedly with alcohol cotton pads to reduce skin impedance, wearing the intelligent leg cuff as in figure 2, fine tuning the electrode position so that it was in the middle of the subject's gastrocnemius and in the same direction as the fibromuscular, while ensuring that the back of the fabric electrode was in full contact with the skin. The Noraxon DTS electromyography sensors are connected to the metal buckles of the paired electrodes, the metal buckles are fixed to the outer sides of the intelligent leg sleeves through medical adhesive tapes, the sampling frequency is set to be 1500Hz, and the surface electromyography of the testee is observed through matched software MyoMuscle MR 3.

In order to verify the real-time monitoring effect of the surface electromyographic signals of the knitted intelligent leg sleeve, Ag/AgCl gel electrodes are used as a control group to synchronously carry out surface electromyographic signal acquisition tests in the states of sitting, standing, walking and jogging, Matlab software is used for extracting corresponding characteristic indexes, and the results are shown in tables 3 and 4, and the time domain and frequency domain image extraction results in the four states are shown in figures 3 a-6 b.

TABLE 3 results of fitting performance extraction of electromyographic signals on surfaces of intelligent leg sleeves in sitting and standing states

TABLE 4 fitting Performance extraction results of the surface electromyographic signals of the intelligent leg sleeve in walking and jogging states

The data in figures 3 a-4 b and table 3 show that the surface electromyographic signals collected by the intelligent leg sleeve in the sitting and standing states are stable, and the amplitude of the surface electromyographic signals is 0.8-1.6 times higher than that of the Ag/AgCl gel electrode; by combining the time domain and frequency domain image analysis of fig. 5 a-6 b and the characteristic index extraction result of table 4, it can be known that the surface electromyogram signal acquired by the intelligent leg sleeve under the walking and jogging state has larger amplitude compared with the Ag/AgCl gel electrode, but the amplitude of the surface electromyogram signal acquired by the intelligent leg sleeve and the change trend of the power spectral density are consistent, the electromyogram signals during walking and jogging are obviously related, and the correlation coefficients are respectively 0.6481 and 0.4624. Therefore, the knitted intelligent garment developed by adopting the new process design method can better replace an Ag/AgCl gel electrode, the feasibility of monitoring the surface myoelectric signals in real time in the movement process is verified, the theoretical reference is provided for the industrial production of intelligent knitted textiles, the intelligent garment is driven to develop to multiple fields, and different requirements of people are met in various intelligent directions.