JJEM: Special Edition 2 (December 2024)
JJEM: Special Edition 2 (December 2024)
2024-12-08
IOT-Driven parkinsons disease identification
Keerthi S R, Adarsh M J
Parkinsons’ disease is one among the central nervous system illnesses. This is the primary issue in old age people. Early detection of this illness could be beneficial for effective treatment and management. Patients may fall anywhere or anytime due to this disease, which can lead to a critical situation or death. To stay clear of all these issues, this work helps to develop an IoT-based wearable device that identifies the fall and informs their family members or caretakers. To identify the fall, the wearable device may include a MAX30102 sensor and a MPU6050 sensor. An Arduino UNO receives data from these sensors and sends information by using a GSM module; it may be in the form of a message, an alarm, or a call. Here, the project mainly focuses on the development of wearable devices. A wearable device must be sensitive and accurate.
Parkinson’s disease, wearable-device, max30102, mpu6050, Arduino uno, gsm module