طراحي و ساخت دستكش در راستاي كميسازي هوشمند ميزان لرزش دست

Design and Manufacturing of Gloves for Intelligent Quantification of Hand Vibration

ﻫﺪف اﯾﻦ ﻣﻘﺎﻟﻪ، ﻃﺮاﺣﯽ و ﺳﺎﺧﺖ ﯾﮏ ﻧﻤﻮﻧﻪ از دﺳﺘﮑﺶ ﺛﺒﺖ ﺣﺮﮐﺖ ﺑﺎ ﻫﺪف اﻧﺪازه ﮔﯿﺮي زواﯾﺎ و ﮐﻤﯽﺳﺎزي ﻣﯿﺰان ﻟﺮزش ﻣﻔﺎﺻﻞ اﻧﮕﺸﺘﺎن دﺳﺖ ﺑﺎ ﻫﺪف ﺑﻪدﺳﺖ آوردن ﻣﻌﯿﺎري ﻣﻨﺎﺳﺐ ﺑﺮاي اﻧﺪازه ﮔﯿﺮي ﻣﯿﺰان ﻟﺮزش دﺳﺖ اﻓﺮاد ﻣﯽﺑﺎﺷﺪ. اﯾﻦ دﺳﺘﮑﺶ ﻣﯽﺗﻮاﻧﺪ ﺷﺪت ﻟﺮزش را ﺛﺒﺖ ﮐﻨﺪ و ﺑﺎ اﺗﺼﺎل ﺑﻪ راﯾﺎﻧﻪ، ﺳﯿﮕﻨﺎل ﺣﺮﮐﺘﯽ و ﻟﺮزش را ﺑﻪ ﺷﮑﻞ ﻧﻤﻮدار اراﺋﻪ دﻫﺪ. ﺳﺨﺖاﻓﺰار دﺳﺘﮕﺎه ﺳﺎﺧﺘﻪ ﺷﺪه ﺷﺎﻣﻞ ﯾﮏ ﻋﺪد ﻣﯿﮑﺮوﮐﻨﺘﺮﻟﺮ ATmega32، ﯾﮏ ﻋﺪد ﻧﻤﺎﯾﺸﮕﺮ LCD و ﺷﺶ ﻋﺪد ﺳﻨﺴﻮر ﺧﻤﺸﯽ ﺑﻪﮐﺎررﻓﺘﻪ در دﺳﺘﮑﺶ ﻣﯽﺑﺎﺷﺪ. در اﯾﻦ ﻣﻘﺎﻟﻪ از ﻧﺮماﻓﺰار LabVIEW ﺑﺮاي ﻧﺸﺎن دادن ﻧﻤﻮدار آﻧﻼﯾﻦ اﺳﺘﻔﺎده ﻣﯽﺷﻮد. ﭘﺲ از آزﻣﺎﯾﺶ ﻫﺎي ﻣﮑﺮر و ﺑﻬﯿﻨﻪﺳﺎزي دﺳﺘﮕﺎه، از 13 ﻧﻔﺮ ﻓﺮد دﭼﺎر ﻟﺮزش دﺳﺖ )ﺑﯿﻤﺎر( و 9 ﻧﻔﺮ ﻓﺮد ﺑﺪون ﻟﺮزش دﺳﺖ ﺳﺎﻟﻢ( ﻧﻤﻮﻧﻪ ﮔﺮﻓﺘﻪ ﺷﺪ. در اﯾﻦ روش ﻧﻤﻮﻧﻪﮔﯿﺮي، ﺑﯿﻤﺎران در ﺳﻪ ﺣﺎﻟﺖ ﺣﺮﮐﺘﯽ، ﺗﻤﺮﮐﺰي و وﺿﻌﯿﺘﯽ ارزﯾﺎﺑﯽ ﺷﺪﻧﺪ. ﭘﺲ از ﺛﺒﺖ ﻧﻤﻮﻧﻪﻫﺎ ﭘﺮدازش ﻫﺎﯾﯽ ﺻﻮرت ﮔﺮﻓﺖ ﺗﺎ ﻧﻤﻮدارﻫﺎي ﺳﯿﮕﻨﺎل ﺣﺮﮐﺖ دﺳﺖ و ﻣﺘﻐﯿﺮﻫﺎي اﯾﺠﺎد ﺗﻤﺎﯾﺰ ﺑﯿﻦ اﻓﺮاد ﺑﻪ ﺑﻬﺘﺮﯾﻦ ﺣﺎﻟﺖ اﺳﺘﺨﺮاج ﺷﻮد. ﻃﺒﻘﻪﺑﻨﺪي اﻧﺠﺎم ﺷﺪه در اﯾﻦ ﭘﮋوﻫﺶ ﺑﯿﻦ اﻓﺮاد دو ﮔﺮوه ﺳﺎﻟﻢ و ﺑﯿﻤﺎر، ﻧﺸﺎن ﻣﯽدﻫﺪ اﯾﻦ ﺳﯿﺴﺘﻢ ﺑﻪﺻﻮرت آزﻣﺎﯾﺸﯽ در ﺗﻌﺪاد 22 ﻧﻔﺮ ﺑﺎ اﺳﺘﻔﺎده از وﯾﮋﮔﯽ ﻣﯿﺎﻧﮕﯿﻦ ﺳﺮﻋﺖ داراي ﺗﻤﺎﯾﺰي در ﺣﺪ 2 /5 اﻟﯽ 3 ﺑﺮاﺑﺮ ﻣﯿﺎن ﺑﯿﻤﺎران و اﻓﺮاد ﺳﺎﻟﻢ ﻣﯽﺑﺎﺷﺪ. اﯾﻦ اﻣﺮ در ﺗﺸﺨﯿﺺﻫﺎي ﮐﻠﯿﻨﯿﮑﯽ ﺑﻪ ﭘﺰﺷﮑﺎن ﮐﻤﮏ ﺧﻮاﻫﺪ ﮐﺮد. ﻫﻤﭽﻨﯿﻦ ﻣﺸﺨﺺ ﮔﺮدﯾﺪ ﺑﻬﺘﺮﯾﻦ ﻣﻌﺎﯾﻨﻪ ﺗﺸﺨﯿﺼﯽ ﺗﻮﺳﻂ اﯾﻦ دﺳﺘﮕﺎه در ﭘﺎراﻣﺘﺮ ﻣﯿﺎﻧﮕﯿﻦ ﺳﺮﻋﺖ و در ﺣﺎﻟﺖ وﺿﻌﯿﺘﯽ رخ ﻣﯽدﻫﺪ.

This research paper aimed to design and manufacture a sample of motion recording gloves to measure angles and quantify the amount of vibration of the finger joints to obtain a suitable criterion for measuring the amount of hand vibration. This glove can record the intensity of vibration, and by connecting to a computer, it can provide motion and vibration signals in the form of diagrams. The device's hardware includes an ATmega32 microcontroller, an LCD, and six bending sensors used in gloves. The present research used LabVIEW software to show online charts. After repeated tests and optimization of the device, samples were taken from 13 people with hand tremors (patients) and 9 people without hand tremors (healthy). In this sampling method, patients were evaluated in three states of displacement, concentration, and position. After recording the samples, processes were performed to extract the hand movement signal diagrams and variables to differentiate between people in the best way. The classification performed in this study between the two groups of healthy and patients showed that experimentally this system had a difference of 2.5 to 3 times between patients and healthy people in 22 people using the average speed feature. This device will help physicians in clinical diagnoses. It was also found that the best diagnostic examination by this device occurs in the parameter of average speed and position.