TWM591795U - Supporting device adjusting system and supporting device - Google Patents
Supporting device adjusting system and supporting device Download PDFInfo
- Publication number
- TWM591795U TWM591795U TW108216451U TW108216451U TWM591795U TW M591795 U TWM591795 U TW M591795U TW 108216451 U TW108216451 U TW 108216451U TW 108216451 U TW108216451 U TW 108216451U TW M591795 U TWM591795 U TW M591795U
- Authority
- TW
- Taiwan
- Prior art keywords
- module
- pressure
- user
- support device
- pressure sensing
- Prior art date
Links
Images
Landscapes
- Invalid Beds And Related Equipment (AREA)
- Mattresses And Other Support Structures For Chairs And Beds (AREA)
Abstract
本創作公開一種支撐裝置調整系統。支撐裝置調整系統包括一控制裝置以及一支撐裝置。支撐裝置包括一壓力感測模組、一處理模組、一氣囊模組、一壓力調整模組以及一通訊模組。控制裝置根據壓力感測分布資訊分析使用者的骨骼肌肉的一人體骨骼肌肉分布資訊以及對應使用者骨骼肌肉的多個座標。控制裝置根據人體骨骼肌肉分布資訊、對應使用者骨骼肌肉的多個座標以及所述使用者的姿勢,提供一壓力控制訊號至支撐裝置的壓力調整模組,以調整氣囊模組的多個氣囊單元的一壓力值組態。This creation discloses a support device adjustment system. The support device adjustment system includes a control device and a support device. The support device includes a pressure sensing module, a processing module, an air bag module, a pressure adjustment module, and a communication module. The control device analyzes the human skeletal muscle distribution information of the user's skeletal muscle based on the pressure sensing distribution information and the multiple coordinates corresponding to the user's skeletal muscle. The control device provides a pressure control signal to the pressure adjustment module of the support device according to the distribution information of the human skeletal muscle, the multiple coordinates corresponding to the skeletal muscle of the user, and the posture of the user to adjust the multiple airbag units of the airbag module Configuration of a pressure value.
Description
本創作涉及一種支撐裝置調整系統以及支撐裝置,特別是涉及一種根據人體身體結構調整躺臥壓力的支撐裝置調整系統以及支撐裝置。The present invention relates to a support device adjustment system and support device, in particular to a support device adjustment system and support device that adjusts the lying pressure according to the human body structure.
對於長期躺臥的使用者來說,傳統床墊裝置的軟硬度無法調整,使用者的身體各部位由於受壓不同,長期躺臥使用的情況下,容易形成壓瘡。For users who lie down for a long time, the softness and hardness of the traditional mattress device cannot be adjusted, and various parts of the user's body are subjected to different pressures. When lying down for a long time, it is easy to form pressure sores.
因此,提供一種可以根據不同使用者身體結構調整的躺臥減壓支撐裝置,已經是業界的一個重要課題。Therefore, it has become an important issue in the industry to provide a lying decompression support device that can be adjusted according to the body structure of different users.
本創作所要解決的技術問題在於,針對現有技術的不足提供一種支撐裝置調整系統,包括:一控制裝置;一支撐裝置,通訊連接所述控制裝置,所述支撐裝置包括:一壓力感測模組,設置在所述支撐裝置的一側,以偵測一使用者躺臥所述支撐裝置時的一壓力感測分布資訊,所述壓力感測模組至少設置在所述使用者臥靠在所述支撐裝置時的一背部區域以及一臀部區域;一處理模組,電性連接所述壓力感測模組;一氣囊模組,電性連接所述處理模組,所述氣囊模組包括多個氣囊單元;一壓力調整模組,電性連接所述處理模組,所述壓力調整模組連接所述氣囊模組,以使所述氣囊模組進行壓力調整;以及一通訊模組,電性連接所述處理模組,所述支撐裝置通過所述通訊模組通訊連接所述控制裝置;其中,所述處理模組提供所述壓力感測分布資訊至所述控制裝置,所述控制裝置至少根據所述壓力感測分布資訊分析所述使用者的一姿勢;所述控制裝置根據所述壓力感測分布資訊分析所述使用者的骨骼肌肉的一人體骨骼肌肉分布資訊以及對應所述使用者骨骼肌肉的多個座標,所述控制裝置根據所述人體骨骼肌肉分布資訊、對應所述使用者骨骼肌肉的多個座標以及所述使用者的所述姿勢,提供一壓力控制訊號至所述支撐裝置的所述壓力調整模組,以調整所述氣囊模組的所述多個氣囊單元的一壓力值組態。The technical problem to be solved by this creation is to provide a support device adjustment system for the deficiencies of the prior art, including: a control device; a support device, which is communicatively connected to the control device, and the support device includes: a pressure sensing module , Which is arranged on one side of the support device to detect a pressure sensing distribution information when a user lies on the support device, and the pressure sensing module is arranged at least on the user lying on the support device A back area and a hip area when the support device is described; a processing module electrically connected to the pressure sensing module; an airbag module electrically connected to the processing module, the airbag module includes multiple An airbag unit; a pressure adjustment module, electrically connected to the processing module, the pressure adjustment module connected to the airbag module, so that the airbag module performs pressure adjustment; and a communication module, electrically Is connected to the processing module, and the supporting device is communicatively connected to the control device through the communication module; wherein, the processing module provides the pressure sensing distribution information to the control device, and the control device Analyzing at least one posture of the user based on the pressure sensing distribution information; the control device analyzing a human skeletal muscle distribution information of the user's skeletal muscle based on the pressure sensing distribution information and corresponding to the use A plurality of coordinates of a skeletal muscle of a person, the control device provides a pressure control signal to the skeletal muscle distribution information of the human body, a plurality of coordinates corresponding to the skeletal muscle of the user and the posture of the user The pressure adjustment module of the supporting device adjusts a pressure value configuration of the plurality of airbag units of the airbag module.
本創作還提供了一種支撐裝置,通訊連接一控制裝置,所述支撐裝置包括:一壓力感測模組,設置在所述支撐裝置的一側,以偵測一使用者躺臥所述支撐裝置時的一壓力感測分布資訊,所述壓力感測模組至少設置在所述使用者臥靠在所述支撐裝置時的一背部區域以及一臀部區域;一處理模組,電性連接所述壓力感測模組;一氣囊模組,電性連接所述處理模組,所述氣囊模組包括多個氣囊單元;一壓力調整模組,電性連接所述處理模組,所述壓力調整模組連接所述氣囊模組,以使所述氣囊模組進行壓力調整;以及一通訊模組,電性連接所述處理模組,所述支撐裝置通過所述通訊模組通訊連接所述控制裝置;其中,所述處理模組提供所述壓力感測分布資訊至所述控制裝置,所述控制裝置至少根據所述壓力感測分布資訊分析所述使用者的一姿勢;所述控制裝置根據所述壓力感測分布資訊分析所述使用者的骨骼肌肉的一人體骨骼肌肉分布資訊以及對應所述使用者骨骼肌肉的多個座標,所述控制裝置根據所述人體骨骼肌肉分布資訊、對應所述使用者骨骼肌肉的多個座標以及所述使用者的所述姿勢,提供一壓力控制訊號至所述支撐裝置的所述壓力調整模組,以調整所述氣囊模組的所述多個氣囊單元的一壓力值組態。The author also provides a support device, which is connected to a control device by communication. The support device includes: a pressure sensing module, which is disposed on one side of the support device to detect a user lying on the support device A pressure sensing distribution information at the time, the pressure sensing module is provided at least in a back area and a hip area when the user is lying on the support device; a processing module is electrically connected to the Pressure sensing module; an airbag module, electrically connected to the processing module, the airbag module includes a plurality of airbag units; a pressure adjustment module, electrically connected to the processing module, the pressure adjustment The module is connected to the airbag module to adjust the pressure of the airbag module; and a communication module is electrically connected to the processing module, and the support device is communicatively connected to the control through the communication module Device; wherein, the processing module provides the pressure sensing distribution information to the control device, the control device analyzes a posture of the user based on at least the pressure sensing distribution information; the control device according to The pressure sensing distribution information analyzes a human skeletal muscle distribution information of the user's skeletal muscle and a plurality of coordinates corresponding to the user's skeletal muscle. The control device corresponds to the human skeletal muscle distribution information A plurality of coordinates of the skeletal muscle of the user and the posture of the user, providing a pressure control signal to the pressure adjustment module of the support device to adjust the plurality of airbags of the airbag module A pressure value configuration of the unit.
本創作的其中一有益效果在於,本創作所提供的支撐裝置調整方法與系統,根據人體受力結構較為脆弱的部位進行壓力調整,不只是對壓力感測分布資訊中的數據進行調整。而是更進一步的根據身體受力部位進行對應調整,讓使用者的身體受力更為舒適,有效提升使用者體驗。One of the beneficial effects of this creation is that the adjustment method and system of the support device provided by this creation adjusts the pressure according to the parts of the human body that are more fragile, not just the data in the pressure sensing distribution information. Rather, it is further adjusted according to the body's stress part, so that the user's body stress is more comfortable, and the user experience is effectively improved.
為使能更進一步瞭解本創作的特徵及技術內容,請參閱以下有關本創作的詳細說明與圖式,然而所提供的圖式僅用於提供參考與說明,並非用來對本創作加以限制。In order to further understand the characteristics and technical content of this creation, please refer to the following detailed description and drawings of this creation. However, the drawings provided are for reference and explanation only, and are not intended to limit this creation.
以下是通過特定的具體實施例來說明本創作所提供有關“支撐裝置調整系統以及支撐裝置”的實施方式,本領域技術人員可由本說明書所提供的內容瞭解本創作的優點與效果。本創作可通過其他不同的具體實施例加以施行或應用,本說明書中的各項細節也可基於不同觀點與應用,在不悖離本創作的構思下進行各種修改與變更。另外,本創作的附圖僅為簡單示意說明,並非依實際尺寸的描繪,事先聲明。以下的實施方式將進一步詳細說明本創作的相關技術內容,但所提供的內容並非用以限制本創作的保護範圍。The following is a description of the implementation of the “support device adjustment system and support device” provided by this creation through specific specific examples. Those skilled in the art can understand the advantages and effects of this creation by the content provided in this specification. This creation can be implemented or applied through other different specific embodiments. The details in this specification can also be based on different views and applications, and various modifications and changes can be made without departing from the concept of this creation. In addition, the drawings in this creation are only a schematic illustration, not based on actual size, and are declared in advance. The following embodiments will further describe the relevant technical content of this creation, but the content provided is not intended to limit the protection scope of this creation.
應當可以理解的是,雖然本文中可能會使用到 “第一”、“第二”、“第三”等術語來描述各種元件或者信號,但這些元件或者信號不應受這些術語的限制。這些術語主要是用以區分一元件與另一元件,或者一信號與另一信號。另外,本文中所使用的術語“或”,應視實際情況可能包含相關聯的列出項目中的任一個或者多個的組合。It should be understood that although terms such as “first”, “second”, and “third” may be used herein to describe various elements or signals, these elements or signals should not be limited by these terms. These terms are mainly used to distinguish one component from another component, or one signal from another signal. In addition, the term "or" as used herein may include any one or a combination of more than one of the associated listed items, depending on the actual situation.
[第一實施例][First embodiment]
請參閱圖1、圖2、圖3、圖4、圖5以及圖6, 圖1是本創作第一實施例的支撐裝置調整方法的流程圖。圖2是利用本創作人體支撐調整方法進行機器學習的流程圖。圖3是本創作第一實施例的支撐裝置調整系統的示意圖。圖4是使用者躺臥在支撐裝置上的壓力感測分布資訊的示意圖。圖5是使用者躺臥在本創作第一實施例的支撐裝置上的示意圖。圖6是使用者側臥在本創作第一實施例的支撐裝置上的示意圖。Please refer to FIG. 1, FIG. 2, FIG. 3, FIG. 4, FIG. 5 and FIG. 6. FIG. 1 is a flowchart of the method for adjusting the support device according to the first embodiment of the present invention. FIG. 2 is a flowchart of machine learning using the method for adjusting the human body support of the author. FIG. 3 is a schematic diagram of the supporting device adjustment system of the first embodiment of the present creation. 4 is a schematic diagram of pressure sensing distribution information of a user lying on a support device. FIG. 5 is a schematic diagram of the user lying on the support device of the first embodiment of the present creation. FIG. 6 is a schematic diagram of the user lying on the side on the support device of the first embodiment of the present invention.
本實施例的支撐裝置調整方法適用於一支撐裝置調整系統1。支撐裝置調整系統1包括一控制裝置11以及一支撐裝置12。The support device adjustment method of this embodiment is applicable to a support device adjustment system 1. The support device adjustment system 1 includes a control device 11 and a
支撐裝置12包括一處理模組120、一氣囊模組121、一壓力調整模組122、一壓力感測模組123、一通訊模組124、一電源模組125以及一裝置本體129。在本實施例中,控制裝置11是設置在支撐裝置12的一側。The supporting
本實施例的支撐裝置調整方法,包括下列步驟:The supporting device adjustment method of this embodiment includes the following steps:
擷取一使用者臥靠在一支撐裝置時的一壓力感測分布資訊(步驟S110);Acquiring pressure sensing distribution information when a user is lying on a supporting device (step S110);
根據壓力感測分布資訊分析使用者的一姿勢(步驟S120);Analyzing a posture of the user according to the pressure sensing distribution information (step S120);
根據壓力感測分布資訊分析使用者的骨骼肌肉的一人體骨骼肌肉分布資訊以及對應使用者骨骼肌肉的多個座標(步驟S130);以及Analyzing human skeletal muscle distribution information of the user's skeletal muscle according to the pressure sensing distribution information and multiple coordinates corresponding to the user's skeletal muscle (step S130); and
根據所述人體骨骼肌肉分布資訊、對應所述使用者骨骼肌肉的多個座標以及使用者的姿勢,調整支撐裝置的一氣囊模組的一壓力值組態(步驟S140)。According to the human skeletal muscle distribution information, multiple coordinates corresponding to the user's skeletal muscle, and the user's posture, a pressure value configuration of an airbag module of the support device is adjusted (step S140).
支撐裝置在步驟S110中,支撐裝置12是一床墊裝置,在其他實施例中,支撐裝置12可以是一座墊裝置或是一靠墊裝置,在本創作中不作限制。支撐裝置12的壓力感測模組123是一軟性壓力感測模組,設置在支撐裝置12的一側。壓力感測模組123包括多個壓力感測單元(圖未示),該些壓力感測單元(圖未示)矩陣式地設置在一軟性基板(圖未示)上,例如塑膠基板或是布質基板,在本創作中不做限制。在本實施例中,壓力感測模組123的多個壓力感測單元(圖未示)可以全部或是局部設置在支撐裝置12的上表面。而且,壓力感測模組123的多個壓力感測單元(圖未示)至少要設置在使用者的背部區域以及臀部區域。也就是,壓力感測模組123的多個壓力感測單元(圖未示)可以分別設置在使用者的背部區域以及臀部區域。此外,壓力感測模組123的多個壓力感測單元(圖未示)可以設置在背部區域、腰部區域以及臀部區域,也就是使用者的軀幹部區域。Supporting Device In step S110, the supporting
當使用者躺臥在支撐裝置12上的時候,壓力感測模組123會偵測使用者施加在支撐裝置12上的壓力感測分布資訊。而使用者的壓力感測分布資訊會被傳送至處理模組120。When the user lies on the
在步驟S120中,處理模組120會通過通訊模組124將使用者的壓力感測分布資訊傳送至一控制裝置1。控制裝置1會根據使用者的壓力感測分布資訊分析使用者的一姿勢。壓力感測分布資訊至少是一二維式的壓力分布影像,控制裝置1會通過壓力感測分布資訊中的多個特徵壓力點作為姿勢分析的基礎,例如頭部、兩肩、肩胛骨、肘、腕、髖部、膝蓋、腳踝等,以判斷使用者臥靠在支撐裝置12時的姿勢。In step S120, the
在本實施例中,使用者臥靠在支撐裝置12的姿勢包括一仰臥姿勢、一俯臥姿勢、一側臥姿勢(包括左側臥以及右側臥)。此處姿勢僅以使用者上半身的姿勢為主,其他不規則的姿勢則分別包括在上述臥姿中,在此不作贅述。在其他實施例中,姿勢的分類可以根據實際需求進行調整設計,在本創作中不作限制。當使用者是以仰臥姿勢臥靠在支撐裝置12上的時候,以臀部區域為例,臀部區域的壓力感測分布資訊會呈現2-3個具有壓力峰值的區域。然而,當使用者是以側臥姿勢臥靠在支撐裝置12上的時候,由於側臥時人體是以髖部抵靠在支撐裝置12上,因此臀部區域的壓力感測分布資訊會呈現單一壓力峰值區域,而且壓力峰值一般會較高。In this embodiment, the posture of the user lying on the
再者,控制裝置11可以根據幾個判斷使用者的姿勢,分別是:一、體壓外形之特徵參數PA1;二、內部壓力局部峰值點的分布參數PA2。其中,體壓外形之特徵參數PA1包括使用者背部區域與臀部區域的涵蓋面積、以及外型壓力分佈特徵。壓力局部峰值點的分布參數PA2則是如先前所述的不同區域的壓力峰值的數量。控制裝置11可以根據以上二個判斷因子分別進行權重分配,例如,體壓外形之特徵參數PA1 對應的是一第一權重因子W1。內部壓力局部峰值點的分布參數PA2則是對應的是一第二權重因子W2。控制裝置可以結合判斷因子以及權重因子以進行機器學習(Machine Learning)。Furthermore, the control device 11 can determine the user's posture according to several factors: first, the characteristic parameter PA1 of the body pressure profile; second, the distribution parameter PA2 of the local peak point of the internal pressure. Among them, the characteristic parameter PA1 of the body pressure profile includes the coverage area of the user's back area and hip area, and the appearance pressure distribution characteristics. The distribution parameter PA2 of the local pressure peak point is the number of pressure peaks in different regions as described previously. The control device 11 may separately assign weights according to the above two judgment factors. For example, the characteristic parameter PA1 of the body pressure contour corresponds to a first weighting factor W1. The distribution parameter PA2 of the local peak point of the internal pressure corresponds to a second weighting factor W2. The control device may combine the judgment factor and the weighting factor to perform machine learning (Machine Learning).
在本實施例中,控制裝置11可以根據下列公式1進行判斷以及學習:In this embodiment, the control device 11 can make judgments and learn according to the following formula 1:
LF=PA1*W1+PA2*W2 – 公式1LF=PA1*W1+PA2*W2-Equation 1
其中,LF代表的是使用者躺臥姿勢參數。控制裝置11可以通過多個使用者進行躺臥而進行第一權重因子W1以及第二權重因子W2的調整,以提高判斷使用者躺臥姿勢的精確程度。在本實施例中,當使用者躺臥姿勢參數LF大於一姿勢參考值時,則判斷為仰臥姿勢,當使用者躺臥姿勢參數LF小於姿勢參考值時,則判斷為側臥姿勢。此外,在本實施例中,還可以透過確認是否成功判斷為仰臥姿勢或是側臥姿勢,進行修正第一權重因子W1、第二權重因子 W2或是體壓外形之特徵參數PA1以及內部壓力局部峰值點的分布參數PA2的參數組合。Among them, LF represents the user's lying posture parameters. The control device 11 may adjust the first weighting factor W1 and the second weighting factor W2 when a plurality of users lie down, so as to improve the accuracy of determining the lying position of the user. In this embodiment, when the user's lying posture parameter LF is greater than a posture reference value, it is determined to be a supine posture, and when the user's lying posture parameter LF is less than the posture reference value, it is determined to be a lateral lying posture. In addition, in this embodiment, the first weighting factor W1, the second weighting factor W2, or the characteristic parameter PA1 of the body pressure contour and the local peak value of the internal pressure can also be corrected by confirming whether it is successfully determined to be a supine or lateral position. The parameter combination of the point distribution parameter PA2.
在其他實施例中,支撐裝置12可以是座墊裝置或是靠墊裝置。也就是,支撐裝置12可以只承載使用者的部分身體部位以及部分重量。此外,由於支撐裝置12設置方式的不同,例如平放、直放或是傾斜放置,加上支撐使用者的部位不同而有施力大小的差異,因此,在步驟S120中,控制裝置11可以根據支撐裝置12的設置狀態,判斷使用者臥靠支撐裝置12的姿勢。In other embodiments, the supporting
控制裝置11可以是一桌上型電腦、一筆記型電腦、一本地伺服器、一遠端伺服器、一手機、一平板電腦或是一穿戴式電子裝置等,在本創作中不作限制。The control device 11 may be a desktop computer, a notebook computer, a local server, a remote server, a mobile phone, a tablet computer, or a wearable electronic device, etc., which is not limited in this creation.
在步驟S130以及步驟S140中,控制裝置1會根據壓力感測分布資訊分析得到使用者的骨骼肌肉關聯性以及分布狀態的一人體骨骼肌肉分布資訊以及對應使用者骨骼肌肉的多個座標。In step S130 and step S140, the control device 1 analyzes the skeletal muscle relevance and distribution status of the user's skeletal muscle according to the pressure sensing distribution information, and obtains a plurality of coordinates corresponding to the user's skeletal muscle.
在步驟S130中,控制裝置11可以根據使用者的壓力感測分布資訊估算使用者的一身高值以及一體重值,以進一步計算對應使用者的人體骨骼肌肉分布資訊。此外,控制裝置11也可以預先獲得使用者的身體值以及體重值,以計算使用者的人體骨骼肌肉分布資訊。人體骨骼肌肉分布資訊可以顯示人體的骨骼與肌肉的分布情況,而且可以顯示哪些部位的受力結構較為薄弱。In step S130, the control device 11 may estimate a height value and a weight value of the user according to the pressure sensing distribution information of the user to further calculate the distribution information of the human skeletal muscle corresponding to the user. In addition, the control device 11 may also obtain the user's body value and weight value in advance to calculate the user's skeletal muscle distribution information. Human skeletal muscle distribution information can show the distribution of human bones and muscles, and can show which parts of the structure are weak.
此外,控制裝置11可以根據使用者的人體骨骼肌肉分布資訊,以及壓力感測分布資訊中各個區域A1-A12(如圖5、圖6所示)的最大壓力值,判斷使用者目前身體的受力狀況。In addition, the control device 11 can determine the current body pressure of the user based on the user's skeletal muscle distribution information and the maximum pressure value of each area A1-A12 (as shown in Figs. 5 and 6) in the pressure sensing distribution information Force status.
進一步地說,控制裝置11根據使用者的人體骨骼肌肉分布資訊以及通過壓力感測分布資訊獲得的姿勢,獲得一基於使用者姿勢的人體骨骼肌肉分布資訊。Further, the control device 11 obtains human skeletal muscle distribution information based on the user's posture based on the user's human skeletal muscle distribution information and the posture obtained through pressure sensing distribution information.
在步驟S140中,控制裝置11會根據,發送一控制訊號支撐裝置12的處理模組120,以使處理模組120調整氣囊模組121的一壓力值組態。在本實施例中,氣囊模組121中包括多個氣囊單元1210,該些氣囊單元1210是以矩陣式地設置在支撐裝置12中。而且,每一個氣囊單元1210可以被獨立調整壓力值。因此,控制裝置11發送的控制訊號,可以精確到控制氣囊模組121的每一個氣囊單元1210。In step S140, the control device 11 sends a control signal to the
控制裝置11依據躺臥姿勢(仰臥姿勢或是側臥姿勢)與壓力感測分布資訊綜合計算後,進行調整支撐裝置的多個氣囊單元1210的形狀與軟硬度(可以通過氣囊單元充放氣或是機械調整結構控制達到), 用以達到消除或是降低局部高壓點之目的。The control device 11 adjusts the shape and hardness of the plurality of
請參閱圖2,是利用本創作人體支撐調整方法進行機器學習的流程圖。人工智能監督式機器學習系統K1接收護理處置模型以及人因力學模型K2提供的人體模型資訊、使用者測試資訊K4提供的即時人體資訊、臨床數據K3提供的臨床數據,才產生人體舒適度效果驗證K5的舒適度數據。Please refer to FIG. 2, which is a flow chart of machine learning using the creative body support adjustment method. The artificial intelligence supervised machine learning system K1 receives the human body model information provided by the nursing treatment model and the human factor mechanical model K2, the real-time human body information provided by the user test information K4, and the clinical data provided by the clinical data K3 to produce the human body comfort effect verification K5 comfort data.
由於本案的人工智能監督式機器學習系統K1是持續根據已知數據進行學習,因此,人體舒適度效果驗證K5的舒適度數據會回饋給護理處置模型以及人因力學模型K2以及臨床數據K3,以更新護理處置模型以及人因力學模型K2的人體模型資訊、臨床數據K3的臨床數據。Since the artificial intelligence supervised machine learning system K1 in this case continuously learns based on known data, the comfort data of the human comfort effect verification K5 will be fed back to the nursing treatment model, human factor mechanical model K2 and clinical data K3, to Update the nursing treatment model and human factor model K2 human body model information, clinical data K3 clinical data.
也就是,支撐裝置12可以通過調整氣囊模組121的壓力值,調整使用者臥靠在支撐裝置12上的壓力感測分布資訊,以讓躺臥時的各區域的壓力值可以重新分佈,以減少臥靠造成的不適以及風險,例如壓瘡或是血液循環不良等。在本實施例中,各個高風險區域的壓力值會先降低20%,之後則根據使用者的壓力感測分布資訊,進一步調整。That is, the
請參閱圖7以及圖8,圖7是本創作的支撐裝置調整壓力組態值之前的示意圖。圖8是本創作的支撐裝置調整壓力組態值之後的示意圖。Please refer to FIG. 7 and FIG. 8. FIG. 7 is a schematic diagram of the support device of the present invention before adjusting the pressure configuration value. 8 is a schematic diagram of the support device of the present invention after adjusting the pressure configuration value.
換句話說,本實施例的支撐裝置調整系統,是首先測得使用者的壓力感測分布資訊,且根據壓力感測分布資訊偵測使用者的躺臥姿勢或是靠臥姿勢。此外,本實施例的支撐裝置調整系統還根據我壓力感測分布資訊計算使用者骨骼肌肉分布的關聯性以及相關座標位置。進一步地,根據使用者的姿勢、骨骼肌肉分布關聯性及壓力感測分布資訊重新調整使用者的受壓分布,以降低使用者因為壓力而造成血液循環不良而成形的壓瘡。In other words, the support device adjustment system of this embodiment first measures the user's pressure sensing distribution information, and detects the user's lying or reclining posture based on the pressure sensing distribution information. In addition, the support device adjustment system of this embodiment also calculates the relevance of the user's skeletal muscle distribution and the relevant coordinate positions based on the pressure sensing distribution information. Further, the user's pressure distribution is readjusted according to the user's posture, skeletal muscle distribution correlation and pressure sensing distribution information, so as to reduce pressure sores caused by the user's poor blood circulation due to pressure.
在圖7以及圖8中,即是調整背部區域以及臀部區域的氣囊模組壓力,以調整使用者的受壓,進一步重新分布使用者的受壓分佈。在圖8中則是由於氣囊模組壓力的重新分配而使背部區域以及臀部區域的受壓壓力降低。因此臀部區域A3的受壓狀況會重新調整而使得其壓力重心進行轉移。In FIGS. 7 and 8, the pressure of the airbag module in the back area and the hip area is adjusted to adjust the pressure of the user, and the pressure distribution of the user is further redistributed. In FIG. 8, due to the redistribution of the pressure of the airbag module, the compression pressure of the back region and the hip region is reduced. Therefore, the compression condition of the hip region A3 will be readjusted to shift the center of gravity of the pressure.
[第二實施例][Second Embodiment]
請參照圖9,圖9是本創作第二實施例的支撐裝置調整系統的方塊圖。Please refer to FIG. 9, which is a block diagram of the supporting device adjustment system of the second embodiment of the present invention.
支撐裝置調整系統1包括一控制裝置11以及一支撐裝置12。控制裝置11通訊連接支撐裝置12。The support device adjustment system 1 includes a control device 11 and a
支撐裝置12包括一處理模組120、一氣囊模組121、一壓力調整模組122、一壓力感測模組123、一通訊模組124、一電源模組125以及一裝置本體129。處理模組120電性連接壓力調整模組122、壓力感測模組123、通訊模組124以及電源模組125。The supporting
壓力調整模組122連接壓力感測器模組123。在本實施例中,壓力調整模組122包括一幫浦(圖未示)、多個充氣閥(圖未示)以及多個洩氣閥(圖未示)。壓力調整模組122的幫浦(圖未示)通過多個充氣閥(圖未示)以及多個洩氣閥(圖未示)以及至少一條空心充洩氣管(圖未示)與氣囊模組121進行連接。氣囊模組121則包括多個氣囊單元1210。氣囊模組121的多個氣囊單元1210則矩陣式地設置在裝置本體129中。The
處理模組120可以發送一壓力控制訊號給壓力調整模組122的幫浦(圖未示),對氣囊模組121進行充氣或是洩氣。而在本實施例中,氣囊模組121的多個氣囊單元1210可以各自獨立的進行充氣或是洩氣。The
壓力感測模組123,設置在支撐裝置12的一側,以偵測使用者臥靠在支撐裝置12時的一壓力感測分布資訊。支撐裝置12是一床墊裝置,在其他實施例中,支撐裝置12可以是一座墊裝置或是一靠墊裝置,在本創作中不作限制。支撐裝置12的壓力感測模組123是一軟性壓力感測模組,設置在支撐裝置12的一側。壓力感測模組123包括多個壓力感測單元(圖未示),該些壓力感測單元(圖未示)矩陣式地設置在一軟性基板(圖未示)上,例如塑膠基板或是布質基板,在本創作中不做限制。壓力感測模組123則是鋪設在支撐裝置12的一側。在本實施例中,壓力感測模組123的多個壓力感測單元(圖未示)可以全部或是局部設置在支撐裝置12的上表面。而且,壓力感測模組123的多個壓力感測單元(圖未示)至少要設置在使用者的背部區域以及臀部區域。也就是,壓力感測模組123的多個壓力感測單元(圖未示)可以分別設置在使用者的背部區域以及臀部區域。此外,壓力感測模組123的多個壓力感測單元(圖未示)可以設置在背部區域、腰部區域以及臀部區域,也就是使用者的軀幹部區域。The
通訊模組124電性連接處理模組120。支撐裝置12通過通訊模組124通訊連接控制裝置11。通訊模組124是一有線通訊模組、一Wi-Fi通訊模組、一藍牙通訊模組、一LoRa通訊模組、一Sigfox通訊模組或是一NB-IoT通訊模組,在本創作中不做限制。The
電源模組125電性連接處理模組120、壓力調整模組122、壓力感測模組123以及通訊模組124。電源模組125用於供電給處理模組120、壓力調整模組122、壓力感測模組123以及通訊模組124。在本實施例中,電源模組125可以是一直流轉直流電壓轉換器或是一交流轉直流電壓轉換器,在本創作中不做限制。The
首先,當使用者躺臥在支撐裝置12上的時候,壓力感測模組123會偵測使用者施加在支撐裝置12上的壓力感測分布資訊。而使用者的壓力感測分布資訊會被傳送至處理模組120。First, when the user lies on the
處理模組120通過通訊模組124提供壓力感測分布資訊至控制裝置11。而控制裝置11至少會根據壓力感測分布資訊分析使用者的一姿勢。The
壓力感測分布資訊至少是一二維式的壓力分布影像,控制裝置1會通過壓力感測分布資訊中的多個特徵壓力點作為姿勢分析的基礎,例如頭部、兩肩、肩胛骨、肘、腕、髖部、膝蓋、腳踝等,以判斷使用者臥靠在支撐裝置12時的姿勢。The pressure sensing distribution information is at least a two-dimensional pressure distribution image. The control device 1 will use multiple characteristic pressure points in the pressure sensing distribution information as the basis for posture analysis, such as the head, shoulders, scapula, elbow, Wrists, hips, knees, ankles, etc., to determine the position of the user when lying on the
在本實施例中,使用者臥靠在支撐裝置12的姿勢包括一仰臥姿勢、一俯臥姿勢、一側臥姿勢(包括左側臥以及右側臥)。此處姿勢僅以使用者上半身的姿勢為主,其他不規則的姿勢則分別包括在上述臥姿中,在此不作贅述。在其他實施例中,姿勢的分類可以根據實際需求進行調整設計,在本創作中不作限制。當使用者是以仰臥姿勢臥靠在支撐裝置12上的時候,以臀部區域為例,臀部區域的壓力感測分布資訊會呈現2-3個具有壓力峰值的區域。然而,當使用者是以側臥姿勢臥靠在支撐裝置12上的時候,由於側臥時人體是以髖部抵靠在支撐裝置12上,因此臀部區域的壓力感測分布資訊會呈現單一壓力峰值區域,而且壓力峰值一般會較高。In this embodiment, the posture of the user lying on the
再者,控制裝置11可以根據幾個判斷因子判斷使用者的姿勢,分別是:一、體壓外形之特徵參數PA1;二、內部壓力局部峰值點的分布參數PA2。其中,體壓外形之特徵參數PA1包括使用者背部區域與臀部區域的涵蓋面積、以及外型壓力分佈特徵。內部壓力局部峰值點的分布參數PA2則是如先前所述的不同區域的壓力峰值的數量。控制裝置11可以根據以上二個判斷因子分別進行權重分配,例如, 體壓外形之特徵參數PA1 對應的是一第一權重因子W1。內部壓力局部峰值點的分布參數PA2則是對應的是一第二權重因子W2。控制裝置可以結合判斷因子以及權重因子以進行機器學習(Machine Learning)。Furthermore, the control device 11 can determine the user's posture based on several judgment factors, namely: 1. the characteristic parameter PA1 of the body pressure profile; 2. the distribution parameter PA2 of the local peak point of the internal pressure. Among them, the characteristic parameter PA1 of the body pressure profile includes the coverage area of the user's back area and hip area, and the appearance pressure distribution characteristics. The distribution parameter PA2 of the local peak point of the internal pressure is the number of pressure peaks in different regions as described previously. The control device 11 may perform weight distribution according to the above two judgment factors, for example, the characteristic parameter PA1 of the body pressure contour corresponds to a first weight factor W1. The distribution parameter PA2 of the local peak point of the internal pressure corresponds to a second weighting factor W2. The control device may combine the judgment factor and the weighting factor to perform machine learning (Machine Learning).
在本實施例中,控制裝置11可以根據下列公式2進行判斷以及學習:In this embodiment, the control device 11 can make judgments and learn according to the following formula 2:
LF=PA1*W1+PA2*W2 – 公式2LF=PA1*W1+PA2*W2 – Equation 2
其中,LF代表的是使用者躺臥姿勢參數。控制裝置11可以通過多個使用者進行躺臥而進行第一權重因子W1以及第二權重因子W2的調整,以提高判斷使用者躺臥姿勢的精確程度。在本實施例中,當使用者躺臥姿勢參數LF大於一姿勢參考值時,則判斷為仰臥姿勢,當使用者躺臥姿勢參數LF小於姿勢參考值時,則判斷為側臥姿勢。此外,在本實施例中,還可以透過確認是否成功判斷為仰臥姿勢或是側臥姿勢,進行修正第一權重因子W1、第二權重因子 W2或是體壓外形之特徵參數PA1以及內部壓力局部峰值點的分布參數PA2的參數組合。Among them, LF represents the user's lying posture parameters. The control device 11 may adjust the first weighting factor W1 and the second weighting factor W2 when a plurality of users lie down, so as to improve the accuracy of determining the lying position of the user. In this embodiment, when the user's lying posture parameter LF is greater than a posture reference value, it is determined to be a supine posture, and when the user's lying posture parameter LF is less than the posture reference value, it is determined to be a lateral lying posture. In addition, in this embodiment, the first weighting factor W1, the second weighting factor W2, or the characteristic parameter PA1 of the body pressure contour and the local peak value of the internal pressure can also be corrected by confirming whether it is successfully determined to be a supine or lateral position. The parameter combination of the point distribution parameter PA2.
在其他實施例中,支撐裝置12可以是座墊裝置或是靠墊裝置。也就是,支撐裝置12可以只承載使用者的部分身體部位以及部分重量。此外,由於支撐裝置12設置方式的不同,例如平放、直放或是傾斜放置,加上支撐使用者的部位不同而有施力大小的差異,因此,在步驟S120中,控制裝置11可以根據支撐裝置12的設置狀態,判斷使用者臥靠支撐裝置12的姿勢。In other embodiments, the supporting
控制裝置11可以是一桌上型電腦、一筆記型電腦、一本地伺服器、一遠端伺服器、一手機、一平板電腦或是一穿戴式電子裝置等,在本創作中不作限制。The control device 11 may be a desktop computer, a notebook computer, a local server, a remote server, a mobile phone, a tablet computer, or a wearable electronic device, etc., which is not limited in this creation.
控制裝置1會根據壓力感測分布資訊分析得到使用者的骨骼肌肉關聯性以及分布狀態的一人體骨骼肌肉分布資訊以及對應使用者骨骼肌肉的多個座標。此外,控制裝置1也會擷取壓力感測分布資訊中多個區域A1-A12(如圖5、圖6所示)各自的最大壓力點作為參考。The control device 1 analyzes and obtains the skeletal muscle correlation and distribution state of the human skeletal muscle according to the pressure sensing distribution information, and a plurality of coordinates corresponding to the skeletal muscle of the user. In addition, the control device 1 also captures the maximum pressure points of the respective regions A1-A12 (as shown in FIGS. 5 and 6) in the pressure sensing distribution information as a reference.
控制裝置11可以根據使用者的壓力感測分布資訊估算使用者的一身高值以及一體重值,以進一步計算對應使用者的人體骨骼肌肉分布資訊。The control device 11 can estimate a height value and a weight value of the user according to the pressure sensing distribution information of the user, so as to further calculate the distribution information of the human skeletal muscle corresponding to the user.
控制裝置11可以根據使用者的人體骨骼肌肉分布資訊,以及壓力感測分布資訊中各個區域A1-A12的最大壓力值,判斷使用者目前身體的受力狀況。The control device 11 can determine the current stress state of the user's body based on the user's skeletal muscle distribution information and the maximum pressure value of each area A1-A12 in the pressure sensing distribution information.
控制裝置11根據壓力感測分布資訊提供一控制訊號至所述支撐裝置的壓力調整模組122,以調整氣囊模組121的一壓力值組態。在本實施例中,氣囊模組121的每一個氣囊單元1210可以被獨立調整壓力值。因此,控制裝置11發送的控制訊號,可以精確到控制氣囊模組121的每一個氣囊單元1210。The control device 11 provides a control signal to the
支撐裝置12可以通過調整氣囊模組121的壓力值,調整使用者臥靠在支撐裝置12上的壓力感測分布資訊,以讓各區域的壓力值可以經過調整,以減少臥靠造成的不適以及風險,例如壓瘡或是血液循環不良等。在本實施例中,各個高風險區域的壓力值會先降低20%,之後則根據使用者的壓力感測分布資訊,進一步調整。The
控制裝置11依據躺臥姿勢(仰臥姿勢或是側臥姿勢)與壓力感測分布資訊綜合計算後,進行調整支撐裝置的多個氣囊單元1210的形狀與軟硬度(可以通過氣囊單元充放氣或是機械調整結構控制達到), 用以達到消除或是降低局部高壓點之目的。The control device 11 adjusts the shape and hardness of the plurality of
[實施例的有益效果][Beneficial effect of embodiment]
本創作的其中一有益效果在於,本創作所提供的支撐裝置調整方法與系統,根據人體受力結構較為脆弱的部位進行壓力調整,不只是對壓力感測分布資訊中的數據進行調整。而是更進一步的根據身體受力部位進行對應調整,讓使用者的身體受力更為舒適,有效提升使用者體驗。One of the beneficial effects of this creation is that the adjustment method and system of the support device provided by this creation adjusts the pressure according to the parts of the human body that are more fragile, not just the data in the pressure sensing distribution information. Rather, it is further adjusted according to the body's stress part, so that the user's body stress is more comfortable, and the user experience is effectively improved.
以上所提供的內容僅為本創作的優選可行實施例,並非因此侷限本創作的申請專利範圍,所以凡是運用本創作說明書及圖式內容所做的等效技術變化,均包含於本創作的申請專利範圍內。The content provided above is only a preferred and feasible embodiment of this creation, and it does not limit the scope of the patent application for this creation, so any equivalent technical changes made by using this creation specification and graphic content are included in this creation application Within the scope of the patent.
S110-S140:步驟S110-S140: steps
1:支撐裝置調整系統1: Support device adjustment system
11:控制裝置11: Control device
12:支撐裝置12: Support device
120:處理模組120: Processing module
121:氣囊模組121: Airbag module
122:壓力調整模組122: Pressure adjustment module
123:壓力感測模組123: Pressure sensing module
124:通訊模組124: Communication module
125:電源模組125: power module
129:裝置本體129: Device body
1210:氣囊單元1210: Airbag unit
A1-A12:壓力感測分布資訊的各個區域A1-A12: Various areas of pressure sensing distribution information
K1:人工智能監督式機器學習系統K1: artificial intelligence supervised machine learning system
K2:護理處置模型以及人因力學模型K2: Nursing treatment model and human factor mechanical model
K3:臨床數據K3: Clinical data
K4:使用者測試資訊K4: User test information
K5:人體舒適度效果驗證K5: Human body comfort effect verification
圖1是本創作第一實施例的支撐裝置調整方法的流程圖。FIG. 1 is a flowchart of a method for adjusting a support device according to the first embodiment of the present creation.
圖2是利用本創作人體支撐調整方法進行機器學習的流程圖。FIG. 2 is a flowchart of machine learning using the method for adjusting the human body support of the author.
圖3是本創作第一實施例的支撐裝置調整系統的示意圖。FIG. 3 is a schematic diagram of the supporting device adjustment system of the first embodiment of the present creation.
圖4是使用者躺臥在支撐裝置上的壓力感測分布資訊的示意圖。4 is a schematic diagram of pressure sensing distribution information of a user lying on a support device.
圖5是使用者躺臥在本創作第一實施例的支撐裝置上的示意圖。FIG. 5 is a schematic diagram of the user lying on the support device of the first embodiment of the present creation.
圖6是使用者側臥在本創作第一實施例的支撐裝置上的示意圖。FIG. 6 is a schematic diagram of the user lying on the side on the support device of the first embodiment of the present invention.
圖7是本創作的支撐裝置調整壓力組態值之前的示意圖。7 is a schematic diagram of the support device of the present invention before adjusting the pressure configuration value.
圖8是本創作的支撐裝置調整壓力組態值之後的示意圖。8 is a schematic diagram of the support device of the present invention after adjusting the pressure configuration value.
圖9是本創作第二實施例的支撐裝置調整系統的方塊圖。FIG. 9 is a block diagram of a supporting device adjustment system of the second embodiment of the present creation.
1:支撐裝置調整系統 1: Support device adjustment system
11:控制裝置 11: Control device
12:支撐裝置 12: Support device
123:壓力感測模組 123: Pressure sensing module
129:裝置本體 129: Device body
1210:氣囊單元 1210: Airbag unit
Claims (10)
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW108216451U TWM591795U (en) | 2019-12-11 | 2019-12-11 | Supporting device adjusting system and supporting device |
JP2020002931U JP3229392U (en) | 2019-12-11 | 2020-07-15 | Support device system and its support device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
TW108216451U TWM591795U (en) | 2019-12-11 | 2019-12-11 | Supporting device adjusting system and supporting device |
Publications (1)
Publication Number | Publication Date |
---|---|
TWM591795U true TWM591795U (en) | 2020-03-11 |
Family
ID=70768076
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
TW108216451U TWM591795U (en) | 2019-12-11 | 2019-12-11 | Supporting device adjusting system and supporting device |
Country Status (2)
Country | Link |
---|---|
JP (1) | JP3229392U (en) |
TW (1) | TWM591795U (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI721915B (en) * | 2020-06-23 | 2021-03-11 | 亞東技術學院 | Decubitus preventing device and method |
CN114304971A (en) * | 2021-12-31 | 2022-04-12 | 佛山市赛可度家具有限公司 | Intelligent household soft bed based on Internet of things |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115177132A (en) * | 2022-07-08 | 2022-10-14 | 绍兴市盘领工艺品有限公司 | Graphene heating blanket |
CN115645202B (en) * | 2022-12-29 | 2023-03-17 | 南昌大学第二附属医院 | Intervertebral foramen mirror standard lateral position adjusting device and method |
KR102603225B1 (en) * | 2023-04-13 | 2023-11-16 | 서상술 | Laser system |
-
2019
- 2019-12-11 TW TW108216451U patent/TWM591795U/en unknown
-
2020
- 2020-07-15 JP JP2020002931U patent/JP3229392U/en active Active
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI721915B (en) * | 2020-06-23 | 2021-03-11 | 亞東技術學院 | Decubitus preventing device and method |
CN114304971A (en) * | 2021-12-31 | 2022-04-12 | 佛山市赛可度家具有限公司 | Intelligent household soft bed based on Internet of things |
Also Published As
Publication number | Publication date |
---|---|
JP3229392U (en) | 2020-12-03 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
TWM591795U (en) | Supporting device adjusting system and supporting device | |
TW202034882A (en) | Method for human body support device and system thereof | |
US20210196055A1 (en) | Bedding System with a CNN Based Machine Vision Process | |
US11266353B2 (en) | Support system and method | |
JP3218551U (en) | Smart adjustment management system for bed sets | |
CN113509337A (en) | Intelligent mattress and adjusting method thereof | |
CN109910024B (en) | Human body posture recognition system for back-holding type transfer nursing robot | |
WO2021057358A1 (en) | Active posture-adjusting smart mattress | |
CN108392343B (en) | Pressure sensitive mattress system | |
CN207949448U (en) | A kind of Intelligent seat with sitting posture adjustment function | |
CN104921891A (en) | Air inflation bedpad | |
CN215304706U (en) | Height-adjustable pillow | |
CN202526453U (en) | Air pressure self-controlled type bedsore prevention and treatment mattress | |
CN105942778A (en) | Pillow | |
CN210354022U (en) | Intelligent self-adaptive mattress based on flexible pressure sensor array | |
CN105286400A (en) | Pillow based on sensing technology and supportive of automatic height adjusting | |
CN212438114U (en) | Intelligent pillow capable of self-adaptively adjusting height based on sleeping posture | |
TWI806635B (en) | Method for improving the pressure injury of the human body and the system thereof | |
US11376465B2 (en) | Neuromuscular training apparatus and method | |
TWI824907B (en) | A method for redistribution of body pressure distribution by a support device | |
CN114010380A (en) | Intelligent supporting device, use method thereof and intelligent supporting system | |
US20230381040A1 (en) | Method for redistribution of body pressure distribution by a support device and the system thereof | |
CN214905675U (en) | Intelligent pillow and bed | |
CN219422535U (en) | Mattress with a mattress body | |
CN211836108U (en) | Device for exercising waist and abdomen strength |