The Role of Intelligent Textiles to Assist The Treatment Process of Parkinson’s Patients (Part I)

BULETIN TEKSTIL.COM/ Jakarta – The World Health Organization (WHO) reported that in 2004 Parkinson’s disease was estimated to affect 876,665 people in Indonesia out of a total population of 238,452,952. The total number of deaths from Parkinson’s disease in Indonesia is ranked 12th in the world or 5th in Asia with a prevalence of 1100 deaths in 2002. According to the results of a systematic analysis study in 2016, the number of people with this disease has reached 6.1 million people worldwide.

So what is Parkinson’s disease?

Parkinson’s disease is a neurodegenerative disorder that causes the progressive loss of dopamine-producing brain cells. The loss of dopamine in the midbrain causes characteristic motor symptoms such as: stiffness (increased muscle tone causing resistance to passive movement throughout the range of motion), tremor (involuntary rhythmic oscillations of one or more body parts), bradykinesia (slowness of movement), and hypokinesia (decreased movement amplitude). Levodopa, a dopamine precursor, is one of the drugs used in the treatment of patients with Parkinson’s disease.

Brain simulation therapy using the electrical method is an alternative method of treating the disease. Besides reducing the patient’s need for medication, this alternative treatment can also improve the patient’s quality of life. However, brain simulation therapy with the electrical method relies heavily on brain imaging and precise assessment of motor responses to test stimuli during treatment.

In other words, the patient’s movement during the electrical treatment is a form of motor response that must be observed in detail, so that patient care becomes more precise. Furthermore, the movement of tremor frequency in the hands, fingers, and/or other body parts is one of the factors that is usually measured/observed with a special measuring instrument to facilitate the measurement of tremor or tremor frequency. Thus, these special measuring instruments are indispensable in the series of treatment processes, the healing process, and the process of measuring the success of patient therapy.

In 2019 Professor Kunal Mankodiya from the University of Rhode Island, United States, discovered a smart glove that can help in the treatment process, the healing process, and the process of measuring the success of therapy.

The measurement process is carried out by putting smart gloves on the patient’s hands. Next, the doctor immediately collects data based on the patient’s movement and other movement disorders. The smart gloves will generate a dataset that will help doctors make informed decisions about the type of exercise therapy and medications to prescribe.

Professor Kunal Mankodiya (right) with his student Nick Constant (left) while introducing the smart textile prototype he has made

The smart glove is a prototype of a smart textile. This refers to the characteristics of an intelligent textile, which is a category for textile materials that can feel stimuli from the environment and can respond to stimuli that have been obtained.

In this case, the glove will sense movement, vibration, and other stimuli from the patient’s hand. This can be felt actively by the glove through a sensor material that translates the stimulus into an electrical signal that can be recorded, analyzed and understood as a form of measuring treatment success.

In other words, the glove can feel the stimulation from the patient’s hand and respond in the form of data about the patient’s condition actively in real time.

By acquiring a high-resolution sensor in the smart glove to sense stimuli, the patient’s hand movements in terms of tremors and movement difficulties can be recorded and analyzed precisely and measurably.

This can help doctors better understand the response obtained from patients so that more appropriate therapy and treatment can be carried out and in accordance with real symptoms.

(A) On the left shows the Smart Glove that can measure tremor and difficulty of movement in Parkinson’s patients.

(B) In the center shows a bend sensor inserted in the smart glove and made of an elastic conductive textile material.

(C) On the right shows the working principle of a sensor that senses changes in the conductivity of a material due to bending. (To be continued Part II)

(Red B-Teks/Andrian Wijayono, S.Tr.T., M.Tr.T

Magister Rekayasa Tekstil & Apparel Politeknik STTT

Hits: 11

2 komentar pada “The Role of Intelligent Textiles to Assist The Treatment Process of Parkinson’s Patients (Part I)

Tinggalkan Balasan

Alamat email Anda tidak akan dipublikasikan. Ruas yang wajib ditandai *