Continuous tremor monitoring system and method

Abstract

According to the present invention, a system and method for the continuous and automated monitoring of body tremors are provided. The system comprises a wearable device and a web portal and / or application that communicates with the wearable device to process vibration measurements. The wearable device comprises: - at least an inertial sensor or an accelerometer that measures accelerations; - at least a communication unit that transmits the measurements to the web portal and / or application; - at least a storage unit; - at least a microcontroller that receives data and sends them to the storage unit and the communication unit; said microcontroller comprising a timer for switching the device on or off; - at least an energy supply source for the device.

Description

[0001] Leibo. / 36e2025

[0002] “Continuous tremor monitoring system and method”

[0003] Description

[0004] Field of the invention

[0005] The invention relates to the field of human body monitoring. Even more specifically, the invention aims to provide a system and method for the prolonged monitoring of a subject's tremors in order to obtain useful data for a possible diagnosis of diseases characterized by said tremors.

[0006] Prior art

[0007] Tremor is one of the most common movement disorders and is characterized by an involuntary rhythmic oscillation of a body segment around one or more joints. It occurs in healthy individuals as a physiological tremor, consisting of two different superimposed oscillations, mechanical reflex and central neurogenic, as well as irregular fluctuations in muscle strength and movements. Furthermore, it is a symptom of several neurological diseases including: Parkinson's disease (PD), Essential tremor, Dystonia, Multiple sclerosis, Epilepsy. Tremor detection and monitoring play a crucial role in the diagnosis and treatment of these pathologies. There are different types of tremor and they can be distinguished based on their behavior and etiology. Their classification is based on the distinction between resting, postural, simple kinetic and intentional tremor. Each tremor, which can be considered a quasi-sinusoidal movement, has its own peculiar characteristics and can be determined quantitatively in terms of amplitude and frequency.

[0008] Nowadays, various methods and measuring equipment, capable of recording and quantifying tremor, support the classic neurological assessment techniques, such as Archimedean spiral drawing and handwriting (an example of the use of which is reported in patent CN115346661 A by MA CHENBIN et al): IMUs (Inertial Measurement Units) (a system of instruments containing sensors such as accelerometers, gyroscopes, and magnetometers), optoelectronic systems, electromyography (EMG), digital drawing tablets, and laser Leibo. / 36e2025 displacement sensors are capable of measuring tremor.

[0009] Studies conducted in the field confirm that the use of accelerometers, or more in general of inertial sensors, can be truly useful both for accurately quantitatively assessing tremor and for differentiating different types of tremor. However, there are no devices on the market capable of continuously monitoring tremor throughout the day.

[0010] This could reveal a major problem: first, because tremor detection and measurement are usually performed in a hospital setting, during clinic visits that occur infrequently and last little more than an hour. During these visits, patients often feel observed and uncomfortable, wearing bulky devices. This can alter their stress level, which affects tremor behavior and invalidates the test results. Furthermore, due to these reasons, doctors are unable to objectively verify the daily response to tremor therapy. Furthermore, there is a lack of assessment of tremor during sleep. Some conditions, such as dystonia, are very difficult to identify with standard examinations and questionnaires and are often misdiagnosed as Parkinson's disease and essential tremor. Furthermore, although essential tremor and Parkinson's disease are very different, since the former is more pronounced during active movement while the latter during periods of rest, they are often misdiagnosed. For all these reasons, a portable, non-invasive continuous tremor monitoring system could be useful for correctly quantitatively assessing tremor and avoiding misdiagnoses.

[0011] The object of the present invention is to provide a portable, non-invasive, continuous tremor monitoring system for correctly quantitatively assessing tremor and providing key data to avoid misdiagnoses, solving the aforementioned problems.

[0012] The advantages offered by the present invention will be clearer in light of the detailed descriptions which follow.

[0013] Description of the invention

[0014] According to the present invention, a system and method for continuously monitoring the body tremors of a patient is provided. The system of the present invention comprises:

[0015] - at least a wearable device adapted to be worn by a patient to measure his / her tremors; said wearable device comprising: Leibo. / 36e2025 o at least an inertial sensor or accelerometer adapted to measure accelerations in three or more directions, including but not limited to three mutually perpendicular directions of space, canonically the directions X, Y, Z; o at least a communication unit adapted to transmit the measurements carried out by said inertial sensor or accelerometer using wireless technology. Such wireless technology may include, but is not limited to, radio technology, Bluetooth, Wi-Fi, or SIM card connectivity such as 3G, 4G, 5G, or Lo.Ra connectivity; o at least a storage unit adapted to store said measurements; o at least a microcontroller adapted to receive the data measured by said inertial sensor or accelerometer, send them to said storage unit to store them and to said communication unit to transmit them to a web portal and / or application; said microcontroller comprising a timer adapted to measure the passage of time to turn on or off in one or more time intervals said inertial sensor or accelerometer, said communication unit, said storage unit and / or an energy supply source; o at least an energy supply source, by way of non-limiting or binding example, a rechargeable battery or other form of power supply. Other embodiments can include devices adapted to transform the patient's movement or the light in the surrounding environment or other into electric current;

[0016] - at least a web portal and / or application adapted to enable the connection to said device via said communication unit; said web portal and / or application adapted to enable the management of said device by modifying said time intervals in which to automatically turn on or off said inertial sensor or accelerometer, said communication unit, said storage unit and / or said energy supply source; said web portal and / or application being adapted to process the data of said measurements and generate alert signals.

[0017] By way of non-limiting or binding example, one way to differentiate body tremors is by using clinical neurological features as described by Rubchinsky et al [Rubchinsky, L.L., Kuznetsov, A.S., Wheelock, V.L., & Sigvardt, K.A. (2007). Tremor. Scholarpedia, 2(10), 1379], Resting tremor occurs when the affected body part is not active and is supported against gravity. Action tremor occurs during voluntary muscle activation and comprises several types of tremor. Leibo. / 36e2025

[0018] Postural tremor occurs when the affected limbs are voluntarily held against gravity, such as when the patient extends the arms forward in front of the body. Kinetic tremor occurs in both goal-directed and non-goal-directed movements, as typically observed during the finger-nose- finger test in a neurological examination. Intention tremor is characterized by an increase in tremor amplitude as one approaches the target. Task-specific tremors occur during isolated activities such as writing. In Rubchinsky et al 2007, frequency ranges and related activation conditions are provided for different types of tremor such as:

[0019] - Parkinson's tremor, frequency: 3-7 Hz, activation condition: at rest, sometimes in postural and kinetic condition;

[0020] - orthostatic tremor, frequency: 13-18 Hz, activation condition: postural, sometimes in kinetic condition;

[0021] - cerebellar tremor, frequency 3-5 Hz, activation condition: kinetic, sometimes in postural condition;

[0022] - palatal tremor, frequency less than 7Hz, activation condition: at rest.

[0023] The web portal and / or application of the present invention is therefore adapted to process the received data, classifying them for example according to the ranges provided in Rubchinsky et al 2007 in order to produce a report related to tremors indicative of potential pathological states.

[0024] The method of the present invention uses the system in the following phases:

[0025] - sampling, wherein said microcontroller and / or said web portal and / or application, starting from the measurements taken by said inertial sensor or accelerometer, calculate through mathematical processing an average value of amplitude of a tremor / vibration for each spatial direction and for each vibration frequency for said patient;

[0026] - stability calculation, wherein said microcontroller and / or said web portal and / or application, starting from the measurements taken by said inertial sensor or accelerometer, calculate through mathematical processing a stability value for each vibration frequency adapted to identify the frequencies that occur more frequently than the others in said measurement time intervals;

[0027] - generation phase, when said average amplitude values and said frequencies fall outside Leibo. / 36e2025 predefined ranges of values, said alert generation phase has a negative outcome (N) and the method restarts from said sampling phase; when said average amplitude values and said frequencies fall within said predefined ranges of values, said alert generation phase has a positive outcome (F) and the method continues with a signaling phase in which a reporting is sent to said web portal and / or application and / or to said device via said communication unit.

[0028] The advantages offered by the present invention are evident in the light of the description presented thus far and will be even clearer thanks to the attached figures and the related detailed description.

[0029] Description of the figures

[0030] The invention will be described hereinafter in at least a preferred embodiment by way of nonlimiting example with the aid of the appended figures, in which:

[0031] - FIGURA 1 a general view of a system 100 according to the present invention is shown;

[0032] - FIGURA 2 a transparent axonometric view of a wearable device 110 according to the present invention is shown;

[0033] - FIGURA 3 a view of a wearable device 110 with a signaling apparatus 116 that sends a signal through vibration and with a button 117 is shown;

[0034] - FIGURA 4 a view of a wearable device 110 in which a patient 1 presses a button 117 to respond to a signal sent by a signaling apparatus 116 is shown;

[0035] - FIGURA 5 a block diagram representative of a continuous tremor measurement method 200 according to the present invention is shown;

[0036] - FIGURA 6 a block diagram representative of a continuous tremor measurement method 200 according to the present invention is shown.

[0037] Detailed description of the invention

[0038] The present invention will now be illustrated by way of a purely non-limiting or binding example, resorting to the figures which illustrate some embodiments with respect to the present inventive concept. Leibo. / 36e2025

[0039] With reference to FIG. 1, a general view is shown of a system 100 according to the present invention. In FIG. 1 as in the following description, the embodiment of the present invention currently considered the best is illustrated.

[0040] FIG. 1 shows a continuous tremor monitoring system 100 comprising: at least a wearable device 110 (represented transparent in FIG. 1 to show the internal components thereof) adapted to be worn by a patient 1 to measure his / her tremors; said wearable device 110 comprising: o at least an inertial sensor or accelerometer 111 adapted to measure accelerations in three or more directions of space; o at least a communication unit 112 adapted to transmit the measurements carried out by said inertial sensor or accelerometer 111 using wireless technology. Such wireless technology may include, but is not limited to, radio technology, Bluetooth, Wi-Fi, or SIM card connectivity such as 3G, 4G, 5G connectivity; o at least a storage unit 113 adapted to store said measurements; o at least a microcontroller 114 adapted to receive the data measured by said inertial sensor or accelerometer 111, to send them to said storage unit 113 to store them and to said communication unit 112 to transmit them to a web portal and / or application 120; said microcontroller 114 comprising a timer adapted to measure the passage of time to turn on or off in one or more time intervals said inertial sensor or accelerometer 111, said communication unit 112, said storage unit 113 and / or an energy supply source 115. “Turn an energy supply source on or off’ is intended as the process of disconnecting a circuit that supplies energy from the energy supply source (e.g., a rechargeable battery) to any other circuit in the device 110, while preserving the circuits responsible for turning it back on, such as the circuits that power said timer. The energy supply source 115, when “off’, therefore exclusively supplies said timer, resulting in significant energy savings. More in general, within the scope of this description, reference is also made to “switching off’ the device 110, meaning the switching off of the components of the device 110 such as the microcontroller 114, the communication unit 112, storage unit 113 and the energy Leibo. / 36e2025 supply source 115 itself, but still ensuring the energy supply of the circuits responsible for switching the device 110 back on; o at least an energy supply 115 adapted to supply energy to said device 110;

[0041] - at least a web portal and / or application 120 adapted to enable connection to said device 110 via said communication unit 112; said web portal and / or application 120 adapted to allow the management of said device 110 by modifying said time intervals in which to automatically turn on or off said inertial sensor or accelerometer 111, said communication unit 112, said storage unit 113 and / or said energy supply source 115; said web portal and / or application 120 being adapted to process the data of said measurements and generate alert signals.

[0042] In other preferred embodiments of the present invention such as those shown in FIG. 1-4, said inertial sensor or accelerometer 111 is a miniaturized MEMS type accelerometer.

[0043] In other preferred embodiments of the present invention such as those shown in FIG. 1-4, said device 110 is provided in the form of a ring wearable by said patient 1 on a finger; said device 110 having a structure adaptable to the shape of the finger of said patient 1. By way of nonlimiting or binding example, said structure is “adaptable,” having solid parts and elastic parts adapted to widen to accommodate the finger of the patient 1. In another non-limiting or binding example, the ring structure is not a closed annular structure, but an open one with two ends so that the distance between the two ends can be changed by applying a pressing or pulling force on the ring to adapted it to the finger of the patient 1 wearing it.

[0044] In some embodiments of the present invention, said device 110 is provided in the form of a bracelet wearable by said patient 1 on the wrist; said device 110 having a structure adaptable to the shape of the wrist of said patient 1.

[0045] In some embodiments of the present invention such as those shown in FIG. 2-4, said device 110 further comprises a signaling apparatus 116 with vibration and / or one or more LED lights (FIG. 2 specifically shows a signaling apparatus 116 with two LED lights) adapted to be activated to send said alert signal.

[0046] Said signaling apparatus 116 is connected to said microcontroller 114 to receive inputs related to the need to send said signal. Leibo. / 36e2025

[0047] In some embodiments of the present invention, the signaling apparatus 116 comprises means for vibrating said device 110 in order to send said alert signal, so that the patient 1 wearing the device 110 can become aware of said vibration as shown in FIG. 3. Vibration devices such as those in smartphones, smartwatches and others are deemed as known to those skilled in the art and will therefore not be described in detail.

[0048] In other embodiments, the signaling apparatus 116 comprises one or more LED lights adapted to illuminate to send said alert signal.

[0049] In other embodiments of the invention the signaling apparatus 116 has both said vibrating means and said LED lights.

[0050] In some embodiments of the present invention such as those shown in FIG. 3 and 4, said device 110 further comprises a button 117; said button 117 adapted to be pressed by said patient 1 to provide an indication to said microcontroller 114 that it has received said alert signal as shown in FIG. 4; said button 117 being adapted to be pressed by said patient 1 to provide an indication to said microcontroller 114 and / or said web portal and / or application 120 that he / she is in a state of rest or intentional movement with the body part with which said device 110 is worn; said web portal and / or application 120 being adapted to send said alert signal to request confirmation from the patient 1 regarding the state of intentional or involuntary movement and thus regarding a so-called state of rest or intentional movement also called kinetic / dynamic condition; said button 117 being adapted to be pressed by said patient 1 to turn said device 110 on or off.

[0051] Specifically, FIG. 3 shows the hand of a patient 1 wearing said device 110 which vibrates (the vibration effect is depicted in the form of concentric arcs around the device 110) due to the signaling apparatus 116 (not specifically shown in FIG. 3 nor FIG. 4, as it is inside the device 110) to send said alert signal. FIG. 4 shows how the patient 1 presses said button 117 with the thumb of his / her hand, thus avoiding interrupting his / her activity (typing keys on a computer keyboard) for a significant amount of time and thus providing a confirmation to the web portal and / or application 120 in response to said alert signal. As shown in FIG. 4, pressing the button 117 corresponds to a cessation of vibration of the device 110.

[0052] In these embodiments of the invention, the web portal and / or application 120, by processing Leibo. / 36e2025 the measurements of the inertial sensor or accelerometer 111, can identify greater vibration amplitudes with respect to a normal condition (imagine the vibrations induced on the hands while practicing a sport such as tennis, boxing, or others, or even small but intentionally repeated movements such as the movements for pressing keys on a computer keyboard as shown in FIG. 3 and 4), in these cases then, in order to avoid accumulating measurements that may not be representative of a patient's involuntary tremors, the web portal and / or application 120 can send an alert signal (for example via said signaling apparatus 116 in the forms of the invention that include it) to which the patient can respond by pressing said button 117 as shown in FIG. 4. The input provided via the button 117 can be customized via the same web apparatus and / or application 120 to be able to provide different types of response via different types of pressing the button 117 such as single press, double press, triple press, single held press and others. The patient 1 can then respond positively or negatively to the alert signal from the web portal and / or application 120 via said button 117 by pressing the button in a different manner. In a non -limiting example of the invention, patient 1 presses the button once when he / she receives said alert signal to communicate that he / she is actually in a condition of intentional movement, while the patient 1 presses the button twice to communicate that he / she is not in said condition of intentional movement. In the latter case, the web portal and / or application 120 will not send input to switch off the device 110 but will continue processing the data measured by the inertial sensor or accelerometer 111.

[0053] In other embodiments of the present invention such as that shown in FIG. 2, said device 110 further comprises a tactile sensor 118 placed in the part in contact with the skin of said patient 1 ; said tactile sensor 118 adapted to detect the touch of the skin of the patient 1 indicating that the device 110 is worn by the patient 1; said tactile sensor 118 adapted to detect the absence of said touch of the skin of the patient 1 for a defined time by sending a switch-off signal to the microcontroller 114 to switch off said inertial sensor or accelerometer 111, said communication unit 112, said storage unit 113 and / or said energy supply source 115. Where “defined time” is intended as a period of time preferably measured in minutes, definable via said web portal and / or application 120 beyond which, if the tactile sensor 118 does not detect the touch of the skin of patient 1 and, therefore, detects that the patient 1 is not wearing the Leibo. / 36e2025 device 110, the device is switched off, where “switched off’ refers to the definition provided previously, adding that a device 110 provided with a tactile sensor 118, when “switched off’ still guarantees energy supply to the circuits that power said tactile sensor 118 in order to be able to automatically switch the device back on when it is worn and the skin of the patient 1 comes into contact with said tactile sensor 118. A non-limiting or binding example of a defined time is a time of 30 minutes, beyond which the tactile sensor 118 sends said switch-off signal to the microcontroller 114.

[0054] The present invention further relates to a continuous tremor measurement method 200, adapted to use the system 100. With reference to FIG. 5, a representative block diagram of the method 200 is shown, which comprises the following phases:

[0055] - sampling 210, wherein said microcontroller 114 and / or said web portal and / or application 120, starting from the measurements taken by said inertial sensor or accelerometer 111, calculate through mathematical processing an average value of amplitude of a tremor / vibration for each spatial direction and for each vibration frequency for said patient 1.

[0056] - stability calculation 220, wherein said microcontroller 114 and / or said web portal and / or application 120, starting from the measurements taken by said inertial sensor or accelerometer 111, calculate through mathematical processing a stability value for each vibration frequency adapted to identify the frequencies that occur more frequently than the others in said measurement time intervals;

[0057] - alert generation phase 230, when said average amplitude values and said frequencies fall outside predefined ranges of values, said alert generation phase 230 has a negative outcome (N) and the method restarts from said sampling phase 210; when said average amplitude values and said frequencies fall within said predefined ranges of values, said alert generation phase 230 has a positive outcome (F) and the method 200 continues with a signaling phase 231 in which a reporting is sent to said web portal and / or application 120 and / or to said device 110 via said communication unit 112.

[0058] A preferential but non-limiting or binding example of the mathematical calculations processing carried out during the phase is provided below: “sampling 210”: the sampling Leibo. / 36e2025 occurs by storing the acceleration data coming from the inertial sensor or accelerometer 111 in a vector capable of containing a certain number of elements, with a given detection interval. A sampling algorithm fills the vector with the elements that are gradually acquired. In order to normalize the data, the average of all the data is subtracted from each data item contained in the acquired data vector. Once this subtraction has been carried out, the square root of the mean of the squares of the values (RMS) is calculated and stored in said storage unit 113. A Fourier transform (FFT) is then performed by moving from the time domain to the frequency domain on the acquired data vector, obtaining an FFT vector that contains half the data of the previous one. Each element of the FFT vector is divided by the sum of the FFT elements, the result of the division is multiplied by said RMS.

[0059] This operation results in an estimate of the RMS of the vibration for each specific frequency. Once this vector is obtained, it is saved in said storage unit 113 of the device 110.

[0060] A preferential but non-limiting or binding example of said mathematical processing carried out during the stability calculation phase 220 is provided below: a matrix “K” is defined which has as its rows the ordered sets of values of each spectrum captured over time in the said sampling phase 210. For each column, the average of the differences between each value and the corresponding value of the next row is calculated, obtaining a vector of values “Z”. Then a further vector “S” is calculated containing the average of the corresponding values of all the rows of “K” and the obtained averages are multiplied by the respective reciprocals of the values of “Z”.

[0061] Thereby, the values measured by the inertial sensor or accelerometer 111 of greater amplitude are those characterized by greater “stability”. The vector “S” allows identifying those frequencies which, within the spectra of the vibrations analyzed during the observation period of the patient 1, appear in a recurring manner, directly on the device 110 and without the need for an external calculator, with the possibility of obtaining rapid and effective summary readings, also having all the data available for more specific analyses.

[0062] In embodiments of the system 100 where the device 110 further comprises said signaling apparatus 116 and said button, the method 200, as shown in FIG. 6, further comprises the following phases: Leibo. / 36e2025

[0063] - said signaling phase 231 , wherein a signal is sent via said signaling apparatus 116 to request confirmation of a condition of rest or intentional movement;

[0064] - response phase 232, wherein said patient 1 via said button 117 provides a response to said signal; said response being positive (f) indicating that he / she is in a condition of intentional movement or negative (TV) indicating that he / she i s in a condition of involuntary movement; when the response is positive (f) the method 200 continues with a switch-off phase 233 wherein said device 110 is switched off by said microcontroller 114 until the next switchon time interval; when the response is negative (TV) the method 200 continues with a storage phase 234 of the acquired measurements and restarts from said sampling phase 210; in said switch-off 233 and storage 234 phases an input is sent to said signaling apparatus 116 to interrupt said signaling.

[0065] Subsequent to said switch-off phase 233, the device 110 is placed in a “switched-off” condition as previously described, wherein a switch-off time interval begins and when said switch-off time interval is interrupted and a switch-on time interval begins, the method 200 restarts from said sampling phase 210.

[0066] Finally, it is clear that modifications, additions or variations that are obvious to a person skilled in the art can be made to the invention described so far, without thereby departing from the scope of protection provided by the attached claims.

Claims

Leibo. / 36e2025Claims1. Continuous tremor monitoring system (100), characterised in that it comprises:- at least a wearable device (110) suitable for being worn by a patient (1) to measure his / her tremors; said wearable device (110) comprising: o at least an inertial sensor or accelerometer (111) capable of measuring accelerations in three or more directions of space; o at least a communication unit (112) capable of transmitting the measurements carried out by said inertial sensor or accelerometer (111) using wireless technology; o at least a storage unit (113) capable of storing said measurements; o at least a microcontroller (114) capable of receiving the data measured by said inertial sensor or accelerometer (111), sending them to said storage unit (113) to store them and to said communication unit (112) to transmit them to a Web portal and / or application (120); said microcontroller (114) comprising a timer for measuring the passage of time to turn on or off in one or more time intervals said inertial sensor or accelerometer (111), said communication unit (112), said storage unit (113) and / or an energy supply source (115); o at least a power supply (115) for providing power to said device (110);- at least a web portal and / or application (120) capable of enabling connection to said device (110) via said communication unit (112); said web portal and / or application (120) capable of enabling management of said device (110) by modifying said time intervals in which to automatically turn on or off said inertial sensor or accelerometer (111), said communication unit (112), said storage unit (113) and / or said energy supply source (115); said web portal and / or application (120) being capable of processing the data of said measurements and generating alert signals.

2. System (100), according to the preceding claim 1, characterised in that said inertial sensor or accelerometer (111) is a miniaturized MEMS type accelerometer.

3. System (100), according to the preceding claim 2, characterised in that said device (110) is provided in the form of a ring wearable by said patient (1) on a finger; said device (110)Leibo. / 36e2025 having a structure adaptable to the shape of the finger of said patient (1).

4. System (100), according to any of the preceding claims 1 or 2, characterised in that said device (110) is provided in the form of a bracelet wearable by said patient (1) on the wrist; said device (110) having a structure adaptable to the shape of the wrist of said patient (1).

5. System (100), according to any of the preceding claims, characterised in that said device (110) further comprises a signalling apparatus (116) with vibration and / or one or more LED lights capable of activating to send said alert signal.

6. System (100), according to any of the preceding claims, characterised in that said device (110) further comprises a button (117); said button (117) capable of being pressed by said patient (1) to provide an indication to said microcontroller (114) that he has received said alert signal; said button (117) capable of being pressed by said patient (1) to provide an indication to said microcontroller (114) and / or to said web portal and / or application (120) that he is in a state of rest or intentional movement with the part of the body with which said device (110) is worn; said web portal and / or application (120) being capable of sending said alert signal to request confirmation from the patient (1) regarding the condition of rest or intentional movement; said button (117) being capable of being pressed by said patient (1) to turn on or off said device (110).

7. System (100), according to any of the preceding claims, characterised in that said device (110) further comprises a tactile sensor (118) placed in the part in contact with the skin of said patient (1); said tactile sensor (118) capable of detecting the touch of the patient’s skin (1) indicating that the device (110) is worn by the patient (1); said tactile sensor (118) capable of detecting the absence of said touch of the patient’s skin (1) for a defined time by sending a switch-off signal to the microcontroller (114) to switch off said inertial sensor or accelerometer (111), said communication unit (112), said storage unit (113) and / or said energy supply source (115).

8. Method (200) for continuously measuring tremors, capable of exploiting the system (100), according to any of the preceding claims, characterised in that it comprises the following phases: sampling (210) wherein said microcontroller (114) and / or said web portal and / orLeibo. / 36e2025 application (120), starting from the measurements taken by said inertial sensor or accelerometer (111), calculate an average value of amplitude of a tremor / vibration for each spatial direction and for each vibration frequency for said patient (1);- stability calculation (220) wherein said microcontroller (114) and / or said web portal and / or application (120), starting from the measurements taken by said inertial sensor or accelerometer (111), calculate a stability value for each vibration frequency suitable for identifying the frequencies that occur more frequently than the others in said measurement time intervals;- generation phase (230) when said average amplitude values and said frequencies fall outside predefined ranges of values, said alert generation phase (230) has a negative outcome (N) and the method restarts from said sampling phase (210); when said average amplitude values and said frequencies fall within said predefined ranges of values, said alert generation phase (230) has a positive outcome (Y) and the method (200) continues with a signalling phase (231) in which a reporting is sent to said web portal and / or application (120) and / or to said device (110) via said communication unit (112).

9. Method (200) according to the preceding claim 8, suitable for exploiting the system (100), according to the preceding claims 5 and 6, characterised in that it comprises the following phases:- said signalling phase (231) wherein a signal is sent via said signalling apparatus (116) to request confirmation of a condition of rest or intentional movement;- response phase (232) wherein said patient (1) via said button (117) provides a response to said signal; said response being positive (Y) indicating that he is in a condition of intentional movement or negative (N) indicating that he is in a condition of involuntary movement; when the response is positive (Y) the method (200) continues with a switch-off phase (233) wherein said device (110) is switched off by said microcontroller (114) until the next switch-on time interval; when the response is negative (N) the method (200) continues with a storage phase (234) of the acquired measurements and restarts from said sampling phase (210); in said switch-off phaseLeibo. / 36e2025(233) and storage (234) phases an input is sent to said signalling apparatus (116) to interrupt said signalling.

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