Parkinson's disease is a common movement disorder. The symptoms of the disease fluctuate during the day and the treatment is arranged according to the symptoms. For a successful treatment, it is important to know which symptoms are at the forefront and the course of these symptoms during the day. Obtaining objective data is important for guiding the treatment, especially since dementia accompanies in the later stages. With the developing technology, various devices have been designed in order to monitor and objectively measure the symptoms of the patients, and they have been used especially to provide objective data for studies. Recently, with the development of wearable technology providing ease of use, it is possible to record, analyze and interpret symptoms in the daily lives of patients with the aim of increasing the success of treatment in the clinic. In order for the PingBit Mate wearable symptom tracker to accurately recognize, analyze and interpret the symptoms in Parkinson's patients, neurologists who are experts in their field provided the necessary data for the analysis and interpretation of the device by naming the symptoms that occur during the examination and daily activities of Parkinson's patients in order to determine the existing movement types.
Finger movements, hand movements, pronation and supination of the hand, leg movements, getting up from the chair, walking, postural tremor in the hands and kinetic tremor in the hands were evaluated as determined in the instructions in the motor section of the UPDRS. In addition, tremor, bradykinesia and dyskinesia that developed during daily life activities such as filling water from a jug to a glass, drinking water from a glass, eating, writing, combing hair, dressing, undressing, and buttoning were determined and recorded as data. Simultaneous video recording was made during the applied tests.
With the developing technology, various devices have been designed in order to monitor and objectively measure the symptoms of the patients, and they have been used especially to provide objective data for studies.
Salarian, Arash, Keijsers, Noël LW, Martin WIM Horstink, and Stan CAM Gielen.
During the implementation of these tests, the electronic data inputs of the motion detection devices on the symptomatic lower and upper extremities of the patient were recorded simultaneously by using PingBit MateOne devices. After clinical evaluation studies, it was seen that Parkinson's symptoms can be classified at high sensitivity values after algorithm training and test applications performed on motion signals obtained with PingBit MateOne devices.