Better clinical management of the patient with Parkinson’s disease

System for recording and processing parkinsonian patients’ movement data

AN AID FOR THE HEALTHCARE PROFESSIONAL

The PD-Watch, acronym for Parkinson’s disease watch, is a medical device that allows the recording and processing of data regarding the body movements of adult patients with motor symptoms of Parkinson’s disease. Recording is continuous and long-term, with a maximum duration of 72 hours, substantially similar to a “holter”. At the end of the recording, the PD-Watch provides data on the motor status of these patients, including information about tremor and dyskinesia. This way, the doctor can assess the severity of symptoms and motor signs and study how they vary throughout the day and from day to day.

The PD-Watch has been designed and developed to provide medical personnel with an aid to refine the patient’s treatment plan in order to reduce symptoms and motor complications, ensuring that the patient spends more time in a normal motor state.

Download the brochure

CONVENIENT FOR THE PATIENT AND FOR THE HEALTHCARE PERSONNEL

The PD-Watch can be worn for 24 hours a day and does not interfere with the patient’s normal daily activities.

The PD-Watch has small size, low weight and can be used in a hospital or home environment. The interface of the PD-Watch device is intuitive and very easy to use. Data processing takes place automatically through a dedicated cloud platform.

GENERAL DESCRIPTION OF THE MEDICAL DEVICE

The PD-Watch allows you to record the patient’s body movements through the use of a wearable system, set up similarly to a wristwatch, which includes a triaxial accelerometer and a memory support; this recording takes place at any time of the day and during the patient’s daily activity. However, the recorded data includes both movements of physiological origin and those of pathological origin; therefore, at the end of the recording, the data stored by the wearable system are processed with the exclusive processing method of the PD-Watch, which was designed and developed to provide the doctor with an instrument and support to distinguish the two different types of movements. At the end of this processing, a report is generated containing the main information on the recording, including the overall duration of the tremor and dyskinesia during the entire recording, as well as the trend of tremor and dyskinesia during the entire recording.

MEDICAL DEVICE PROCESSING METHOD

Symptoms and motor complications can occur with frequency values that can be superimposed on those of voluntary movements, making it very difficult to distinguish one from the other with only frequency analysis. Therefore, in order to reduce the probability of error in the distinction between physiological and pathological movements, the PD-Watch processing method, besides verifying that the frequency of the movement falls within the characteristic frequency values of tremor and dyskinesia, also performs an analysis of the movement pattern to verify that it is actually due to a pathological movement.

For example, in the case of the assessment of tremor, the PD-Watch processing method, in addition to verifying that the frequency of the movement is that typical of Parkinsonian tremor, also checks that the movement occurs with the pronation-supination pattern characteristic of tremor at rest.

Some examples of data contained in the report

Global Results

(numerical values)

Daily trends of the duration of tremor and dyskinesia in 30-minute time intervals

In the following figure, starting from the top:

• graph with time course of the BD index on the intensity of dyskinesia during the day (in orange);

• graph with time trend of the BP index on the intensity of the tremor during the day (in blue);

• color image of the spectrogram with time-frequency analysis.

EMBLEMA eu def

Leave a message by filling the following form or click here to request a price quotation.

Request a quote
First name
Last name
Town
Country
Telephone
Topic
Doctor or healthcare professional
Newsletter subscription (Free)
Comments
Consent to data processing