可穿戴计算机
计算机科学
帕金森病
物理医学与康复
人机交互
医学
嵌入式系统
疾病
病理
作者
Marreddy Naga Sabari,Deepak Ch
标识
DOI:10.1109/gcitc60406.2023.10426307
摘要
The medical industry is currently utilizing a significant number of automated tools. This study offers a module that helps to prototype an anti-tremor medication module, in which the hardware is reviewed by observing conventional vibrations through the motor. Parkinson's disease is caused by a loss of nerve cells in a part of the brain called the substantia nigra. Most people diagnosed with Parkinson's disease are age 60 years or older, however, an estimated 5 to 10 percent of people with. It is possible to determine a person's hand tremors. The ADXL335 accelerometer communicates over the I2C protocol, which can be implemented using the ATtiny85's hardware I2C module or by bit-banging the I2C protocol using GPIO pins. Once the accelerometer is set up and configured, it can provide acceleration data in real-time that can be used to trigger the vibration motor. ADXL335 accelerometer sensor as an apparatus for detecting tremors. The ADXL335 accelerometer circuit is straightforward, with no complex parts or wiring required. It connects to an Arduino and ATtiny 85 directly through analog pins. The wide range of wearable gadgets increases the variety of their applications. With the introduction of wearable technologies capable of processing and storing vast volumes of a person's health data, continuous monitoring of the human body is becoming more widespread. The antitremor wearable band makes the person aware of the tremor by the vibration and gets stability when the tremor occurs. The vibration motor changes its duty cycle within the range of 0- 100% which is proportional to accelerometer values ranging from 0g-2g(1g = 9.80665m/s2) ADXL335 detects various tremor stages, and they are stabilized through a vibration motor and so the model is tested.
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