POSTUROGRAPHIC EVALUATION APPARATUS AND METHOD

Abstract

Apparatus for posturographic evaluation and for the therapeutic indication during a rehabilitation program of the systems involved in maintaining posture and balance of the patient, including two femoral accelerometer sensors installed on the thighs of the patient, a dorsal accelerometer sensor installed on the back in proximity to the D7 vertebra of the patient, held firmly in position by the restraint systems, an IOT platform whose surface has at least 16 load cells and in which the IOT platform includes a processing unit with internal processing circuit acquiring the output data from the load cells, from the two femoral accelerometer sensors and from the dorsal accelerometer sensor and sending the data to a central computer connected to an input device and to at least an output device and finally a dedicated software for the acquisition, analysis and processing of the input data for the real-time and post-processing uses.

Claims

1. Posturographic evaluation apparatus wherein this comprises two femoral accelerometer sensors installed on the patient's thighs and held firmly in place by restraint systems, a dorsal accelerometer sensor installed on the patient's back and held firmly in place by the aforesaid restraint systems, an IOT platform whose surface has at least 16 load cells placed and wherein said IOT platform is provided with a processing unit with an internal processing circuit capable of acquiring output data from the two femoral accelerometer sensors, the dorsal accelerometer sensor and the load cells, wherein said apparatus comprises a central computer connected to said processing unit of the IOT platform, at least an input device and at least an output device and finally wherein said apparatus comprises dedicated software for the acquisition, analysis and processing of the input data for real-time and post-processing uses.

2. The posturographic evaluation apparatus according to claim 1, wherein this comprises a biofeedback unit capable of interacting with the patient by means of sensory mechanisms comprising at least one among vibration, vision, hearing, temperature or any combination thereof.

3. The posturographic evaluation apparatus according to claim 1, wherein said IOT platform provides for a first processing of all the input data from the femoral accelerometer sensors, the dorsal accelerometer sensor, the load cells and wherein these data are subsequently transmitted to the central computer.

4. The posturographic evaluation apparatus according to claim 1, wherein both the connection between the femoral accelerometer sensors and the dorsal accelerometer sensor with the processing unit of the IOT platform and the connection between said processing unit of the IOT platform and the central computer occurs by means of wireless interconnection systems based on a standard comprising at least any protocol among IEEE 802.11, IEEE 802.16, Bluetooth, GPRS and EDGE.

5. The posturographic evaluation apparatus according to claim 1, wherein said input device comprises at least a device among a mouse, a keyboard, a microphone and a touchpad and wherein said output device comprises a common electronic display device.

6. The posturographic evaluation apparatus according to claim 1, wherein said dedicated software for the acquisition, analysis and processing of the data allows to show on a single interface the data values detected by the femoral and dorsal accelerometer sensors integrated with the data values detected by the load cells of the IOT platform and wherein said software stores, manages and retrieves said data in a specific storage infrastructure as well as big data or cloud data for each pathology class related to the patient using the apparatus.

7. The posturographic evaluation apparatus according to claim 1, wherein said restraint systems of the femoral and dorsal accelerometer sensors are designed so as to keep said sensors perfectly adherent to the patient's body, by means of a belt of technical material, as well as nylon and cotton, wherein said belt is adjustable by sliding in a buckle with a quick snap-lock closure by means of the locking button and wherein a graduated scale is traced on the belt portion, which corresponds to the end section passing through the buckle.

8. Posturographic evaluation method wherein the two femoral accelerometer sensors are applied to the thighs of the patient positioned above the IOT platform and the dorsal accelerometer sensor is applied to the back near the D7 vertebra, wherein said femoral and dorsal accelerometer sensors are locked in position by the restraint systems, wherein the patient is made to simulate stationary walking on the IOT platform, for a period between 3 min and 10 min, so that the three femoral and dorsal accelerometer sensors and the load cells of said IOT platform detect the movements in the form of vector quantities and wherein said vector quantities are sent to the processing unit of the IOT platform in the form of data, wherein said processing unit is capable of providing a first processing and finally wherein said data are transmitted to the central computer, which processes the data further by means of the dedicated software.

9. The posturographic evaluation method according to claim 8, wherein said dedicated software provides for an integration between the values of the output acceleration data detected by the three aforesaid femoral and dorsal accelerometer sensors and the value of the homogeneity index obtained by comparing the waveforms produced by the load cells and after cancelling the phase shift, wherein said integration allows obtaining a postural evaluation of the patient's body by means of a dedicated system interface observable by the technician and finally wherein the clinician is capable of evaluating both the incidence of particular pathological conditions and following the evolution of a rehabilitation program of the systems involved in maintaining posture and balance.

10. The posturographic evaluation method according to claim 8, wherein said dedicated software program is configured to provide biofeedback by means of a real-time user posture interface, so as to alert the user during the stationary walking step that the user has totally unstable posture or is unstable only during some phases of the movement.

11. The posturographic evaluation apparatus according to claim 2, wherein said IOT platform provides for a first processing of all the input data from the femoral accelerometer sensors, the dorsal accelerometer sensor, the load cells and wherein these data are subsequently transmitted to the central computer.

12. The posturographic evaluation apparatus according to claim 2, wherein both the connection between the femoral accelerometer sensors and the dorsal accelerometer sensor with the processing unit of the IOT platform and the connection between said processing unit of the IOT platform and the central computer occurs by means of wireless interconnection systems based on a standard comprising at least any protocol among IEEE 802.11, IEEE 802.16, Bluetooth, GPRS and EDGE.

13. The posturographic evaluation apparatus according to claim 3, wherein both the connection between the femoral accelerometer sensors and the dorsal accelerometer sensor with the processing unit of the IOT platform and the connection between said processing unit of the IOT platform and the central computer occurs by means of wireless interconnection systems based on a standard comprising at least any protocol among IEEE 802.11, IEEE 802.16, Bluetooth, GPRS and EDGE.

14. The posturographic evaluation apparatus according to claim 2, wherein said input device comprises at least a device among a mouse, a keyboard, a microphone and a touchpad and wherein said output device comprises a common electronic display device.

15. The posturographic evaluation apparatus according to claim 3, wherein said input device comprises at least a device among a mouse, a keyboard, a microphone and a touchpad and wherein said output device comprises a common electronic display device.

16. The posturographic evaluation apparatus according to claim 4, wherein said input device comprises at least a device among a mouse, a keyboard, a microphone and a touchpad and wherein said output device comprises a common electronic display device.

17. The posturographic evaluation apparatus according to claim 2, wherein said dedicated software for the acquisition, analysis and processing of the data allows to show on a single interface the data values detected by the femoral and dorsal accelerometer sensors integrated with the data values detected by the load cells of the IOT platform and wherein said software stores, manages and retrieves said data in a specific storage infrastructure as well as big data or cloud data for each pathology class related to the patient using the apparatus.

18. The posturographic evaluation apparatus according to claim 3, wherein said dedicated software for the acquisition, analysis and processing of the data allows to show on a single interface the data values detected by the femoral and dorsal accelerometer sensors integrated with the data values detected by the load cells of the IOT platform and wherein said software stores, manages and retrieves said data in a specific storage infrastructure as well as big data or cloud data for each pathology class related to the patient using the apparatus.

19. The posturographic evaluation apparatus according to claim 4, wherein said dedicated software for the acquisition, analysis and processing of the data allows to show on a single interface the data values detected by the femoral and dorsal accelerometer sensors integrated with the data values detected by the load cells of the IOT platform and wherein said software stores, manages and retrieves said data in a specific storage infrastructure as well as big data or cloud data for each pathology class related to the patient using the apparatus.

20. The posturographic evaluation method according to claim 9, wherein said dedicated software program is configured to provide biofeedback by means of a real-time user posture interface, so as to alert the user during the stationary walking step that the user has totally unstable posture or is unstable only during some phases of the movement.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The preceding advantages, as well as other advantages and characteristics of the present invention, will be illustrated with reference to the enclosed figures, which are to be considered merely exemplifying and non-limiting or non-binding for the purposes of the present patent application, in which:

[0022] FIG. 1 is a perspective view of the central computer and front-dorsal view of the patient positioned on the IOT platform with three accelerometer sensors installed;

[0023] FIG. 2 is an axonometric view of the IOT platform;

[0024] FIG. 3 is an exemplifying diagram of the output data from the accelerometer sensors in the anteroposterior plane (AP) and mediolateral plane (ML) detected on a healthy patient;

[0025] FIG. 4 is a diagram of the output data detected on a healthy patient and coming from the pressure cells of the IOT platform expressed as a function of the activation of each load cell;

[0026] FIG. 5 is a front view of the restraint system of the accelerometers.

DETAILED DESCRIPTION OF THE INVENTION

[0027] The present invention will now be described in detail with reference to the figures and to a preferred embodiment thereof shown therein, in which identical reference numbers have been used for the same components.

[0028] With reference to FIG. 1, this shows an apparatus for posturographic evaluation comprising multiple devices as described hereinbelow. Said devices are constituted by accelerometer sensors of triaxial type, in which the two femoral accelerometer sensors 100 installed on the thighs of the patient are maintained firmly in position by means of the restraint systems 600 and in which the dorsal accelerometer sensor 200, installed on the back in proximity to the D7 vertebra of the patient, is maintained firmly in position by means of the aforesaid restraint systems 600.

[0029] As shown in FIGS. 1 and 2, said apparatus also comprises the IOT platform 300 on whose surface at least 16 load cells 320 are present. Said IOT platform 300 is also provided with a processing unit with internal processing circuit capable of acquiring the output data from the load cells 320 and from the two femoral accelerometer sensors 100 and from the dorsal accelerometer sensor 200, by means of wireless interconnection systems based on a standard comprising at least a protocol from among IEEE 802.11, IEEE 802.16, Bluetooth, GPRS and EDGE. In addition, the aforesaid IOT platform 300 provides for a first processing of all the aforesaid input data and then transmits it to the central computer 400 (FIG. 1) by means of at least a further aforesaid wireless interconnection system. Said central computer is also connected to at least an input device, such as a mouse, a keyboard, a microphone, a touchpad (not shown), to at least an output device, such as a common electronic display device (not shown). In addition, a dedicated software is provided for the acquisition, analysis and processing of the input data for the real-time and post-processing uses. An alternative embodiment of the present invention provides for the presence of a biofeedback unit (not shown) capable of interacting with the patient in a sensory manner.

[0030] A process is now described for operating the apparatus, object of the present invention, still with reference to an application that regards a patient subjected to follow-up.

[0031] Specifically, the two femoral accelerometer sensors 100 and the dorsal accelerometer sensor 200 are applied to the patient positioned above the IOT platform 300, by means of the restraint systems 600. Then, the patient is made to simulate a stationary walking on said IOT platform 300, for a period comprised between 3 min and 10 min, in a manner such that the femoral 100 and dorsal 200 accelerometer sensors and the load cells 320 detect the movements in the form of vector quantities.

[0032] Said output data is sent to the processing unit of the IOT platform 300, which will be able to provide for a first processing and then transmit the data to the central computer 400, which will process it by means of the suitable software.

[0033] Specifically, already from the simple data coming from the femoral 100 and dorsal 200 accelerometer sensors it is possible to obtain parameters capable of extracting useful information on the stability of the person subjected to the stabilometric exam and in particular on the mode with which the energy of the movements is expressed over time. Indeed, from the analysis of the different frequencies that constitute the acceleration wave of the three sensors, important relations are detected between the movements of the trunk and those of the lower limbs. As is shown in FIG. 3, where the acceleration signal values in the anteroposterior plane (AP) and mediolateral plane (ML) of a healthy subject are reported, a prevalence of low or medium-low acceleration values will indicate uniformity and balance, while a prevalence of high acceleration values will indicate imbalance.

[0034] As in the case of accelerometers, also from the signals detected by the IOT platform 300, by means of the load cells 320, it is possible to obtain further useful information regarding the stability of the patient subjected to follow-up. In particular, as shown in FIG. 4, by means of the stationary walking, the movement will be alternately obtained of the weight on the front of the right foot and on the rear of the foot and vice versa, on each load cell giving rise to pressures represented by sinusoidal waveforms offset with 4 groups of 180. The evaluation of the uniformity of the movement can be carried out by means of the dedicated software, by comparing the waveforms after having canceled the phase shift thereof. The execution of one such procedure on a fixed number of periods allows calculating a homogeneity index, which provides an objective evaluation of the capacity of the patient to maintain continuous and uniform movement modes.

[0035] In addition, in order to obtain an even more validated metrological evaluation of the mechanisms due to which a person is capable of controlling posture and balance, it is possible to provide the detection of the force imparted on the load cells 320, obtaining a residual deficit index in rehabilitation which, combined with the standardized stabilometric algorithms, will be able to restore also in feedback mode the resistance to the motor action of the user, and thus with the main goal of recovering or correcting the aforesaid force thereof.

[0036] A fundamental objective of the present invention consists of carrying out, by means of the dedicated software, an integration between the values of the acceleration data detected by the three aforesaid femoral 100 and dorsal 200 accelerometer sensors and the indices of homogeneity and residual deficit, obtained from the IOT platform 300, allowing the obtainment of a postural and balance evaluation of the body of the patient subjected to the follow-up, by means of a dedicated interface of the system observable directly and easily by the professional and thus so as to evaluate both the incidence of particular pathological conditions and to follow the evolution of a rehabilitation program of the systems involved in maintaining the posture and thus during the follow-up of the patient subjected to the examination.

[0037] Such method in reality is fundamental for inventive purposes, since it allows showing, on an interface, the integrated values coming from two specific techniques, i.e. techniques which on one hand make use of the data detected by the inertia sensors and on the other hand of the data detected by the stabilometric platforms. Even if each of these techniques have been well validated, nevertheless together they provide unequivocal data that is easily comprehensible by a man skilled in the art by means of the observation of the user interface of the dedicated software.

[0038] A further aspect, alongside all the technical solutions described up to now, but of particular relevance for the attainment of the invention, is that howalready partly described in those cases where one seeks a cooperation by the patientit provided that the apparatus, object of the present invention, can also constitute a valid instrument of biofeedback for the patient. Specifically, the software program can be configured in order to provide biofeedback by means of a real-time user posture interface, advantageously in order to warn him/her during the stationary walking step that he/she has a totally unstable posture or that it is unstable only during several steps of the movement or that he/she must recover or correct the aforesaid force thereof applied on the IOT platform. By way of example, the biofeedback could be obtained by means of vibration (e.g. stimulation or vibration of the platform or of the sensors), by means of viewing (e.g. presenting the integrated data at the visual field of the person, on a telephone, a display, a series of light sources), by means of hearing (e.g. sounds perceived directly or by means of headphones or ear pieces), by means of temperature (e.g. at the feet or elsewhere), by means of other sensory mechanisms (e.g. a tactile mechanism) or any combination thereof. Another characteristic, which even if complementary is fundamental for the purpose of a correct attainment of the invention, consists of the fact that the restraint systems 600 of the femoral 100 and dorsal 200 accelerometer sensors are suitably designed so as to keep said sensors perfectly adherent to the body of the patient and thus so as to eliminate all the artifacts that could inexorably falsify the correct detection of the output data. For such purpose, with reference to FIG. 5, said restraint systems 600 are constituted by a belt 630 made of technical material, such as nylon and cotton, adjustable for sliding in a buckle 610 with quick snap-lock closure by means of the locking button 615, in order to ensure an optimal hold of the position for the entire duration of the detection. In addition, in order to allow a correct tightening of said restraint system 600 on the portion of the belt 630, which corresponds to the section passing through the buckle 610, a graduated scale is inventively traced, which allows maintaining an adjustment that is respectively uniform and personalized for use by each specific patient.

[0039] In conclusion, it is important to focus attention on the fact that the parameters that the apparatus provides, as well as the interpretation criteria of the same have the object of allowing the clinician not only to recognize and quantify the possible balance and postural deficit, but also to identify in the results the indications for a possible diagnostic and therapeutic investigation. In other words, a fundamental innovative characteristic of the inventive apparatus lies not only in a simple diagnostic evaluation but also in the therapeutic capacity integrated with the evaluation itself and hence allows evaluating the incidence of particular pathological conditions or of following the evolution of a rehabilitation program of the systems involved in maintaining the posture and hence during the follow-up of the patient.

[0040] Further characteristic of the present invention consists of the fact that the aforesaid acquired data relative to each patient will be, due to the aforesaid dedicated software, stored, managed and retrieved by a specific storage infrastructure, such as big data or cloud data for each pathology class. The aforesaid data may possibly be advantageously introduced in the scope of the Research and Development field present in the medical field.

[0041] Of course the data provided herein is merely exemplifying and absolutely non-limiting for the purpose of the scope of the present invention, since it only serves for allowing a man skilled in the art to comprehend several possible applications and embodiments of the finding. Then, different obvious modifications could be clearly made by the average person skilled in the art to the preceding exemplifying and non-limiting embodiments described with reference to the figures, without this involving an extension beyond the inventive concept which underlies the present invention, as defined by the following dependent claims.