Corrective system for the walking of individuals with mobility impairment

Abstract

Corrective system (1) for the walking of individuals with mobility impairment, comprising: - sensor means (2) worn, in use, by an individual (3) with mobility impairment and provided with at least one sensor (4) configured to detect at least one mobility data item during walking; - data processing means (5), operationally connected to the sensor means (2) and configured to process at least one descriptive data item of the walk of the individual (3) depending on the mobility data item; - storage means (6), configured to store at least one descriptive reference data item of a reference walk of the individual (3); - stimulation means (7) worn, in use, by the individual (3) and configured to emit at least one feedback relating to the walk of the individual (3) and perceptible by the latter; the system (1) being activatable in at least one training configuration wherein: - the processing means (5) are configured to compare, for a plurality of monitoring time intervals, the descriptive data item and the reference data item, so as to check whether the descriptive data item is comprised in or excluded from at least one range of variation from the reference data item; - said stimulation means (7) are configured to emit at least one feedback depending on the result of at least one of the comparisons; wherein, in the training configuration, the processing means (5) are configured to vary the range of variation depending on the result of at least the comparison, so as to vary the probability of the stimulation means (7) emitting the feedback for at least one of said successive comparisons.

Description

[0001] CORRECTIVE SYSTEM FOR THE WALKING OF INDIVIDUALS WITH MOBILITY

[0002] IMPAIRMENT

[0003] Technical Field

[0004] The present invention relates to a corrective system for the walking of individuals with mobility impairment.

[0005] Background Art

[0006] A number of corrective systems are known to be employed by individuals with mobility impairment for the purpose of training their movements underlying walking.

[0007] Generally, these systems are provided with one or more sensors, mounted at the individual’s shoe and are configured to detect mobility data item useful for characterizing the walking of the individual while using the system.

[0008] Such systems also process the data collected by the sensors through a data processing unit and return one or more corrective feedbacks to the individual adapted to guide him or her during walking.

[0009] Specifically, feedback is transmitted to the individual through an appropriate stimulation unit which allows him or her to follow the stimuli given by the system to train walking and to overcome at least some of his or her mobility impairment.

[0010] However, these kinds of systems are susceptible to some refinements.

[0011] In fact, the systems of known type provide the individual with priori preset feedback that is constantly repeated during training.

[0012] Therefore, such devices constantly provide for the same kind of feedback all the time, regardless of other factors that might vary the individual’s motor performance, such as the individual’s physiological or pathological condition.

[0013] In addition, individuals who generally employ this type of device often experience temporary improvements and worsening of their mobility impairment, e.g. depending on the time of year, the onset of disease in the individuals themselves or depending on other factors.

[0014] Therefore, individuals with temporary worsening in their motor skills constantly receive feedback that is extremely difficult to follow; such feedback, therefore, loses its usefulness to the point of being annoying and demoralizing to the individual who is already in obvious difficulty.

[0015] This drawback makes this type of systems difficult to use and ineffective.

[0016] Description of the Invention

[0017] The main aim of the present invention is to devise a corrective system for the walking of individuals with mobility impairment, the operation of which is continuously adapted to the performance of the individual using it.

[0018] A further object of the present invention is to devise a corrective system for the walking of individuals with mobility impairment which allows the frequency of feedback emission to be varied depending on the performance of the individual using the system.

[0019] An additional object of the present invention is to devise a corrective system for the walking of individuals with mobility impairment which allows variable type of feedback to be emitted based on the performance of the individual using the system.

[0020] Another object of the present invention is to devise a corrective system for the walking of individuals with mobility impairment which can overcome the aforementioned drawbacks of the prior art within the framework of a simple, rational, easy and effective to use as well as inexpensive solution.

[0021] The aforementioned objects are achieved by this system having the characteristics of claim 1.

[0022] Brief Description of the Drawings

[0023] Other characteristics and advantages of the present invention will become more apparent from the description of a preferred, but not exclusive, embodiment of a corrective system for the walking of individuals with mobility impairment, illustrated by way of an indicative, yet non-limiting example in the accompanying tables of drawings in which:

[0024] Figure l is a schematic view of the system according to the invention;

[0025] Figure 2 is a block diagram of a corrective system for the walking of individuals with mobility impairment according to the invention.

[0026] Embodiments of the Invention

[0027] With particular reference to these figures, reference numeral 1 globally denotes a corrective system for the walking of individuals with mobility impairment.

[0028] The corrective system 1 for the walking of individuals with mobility impairment comprises sensor means 2 worn, in use, by an individual 3 with mobility impairment and provided with at least one sensor 4 arranged, in use, where at least one foot of the individual 3 is located and configured to detect at least one mobility data item relating to the walk of the individual 3 during walking.

[0029] Preferably, the sensor 4 is attached to the shoe worn by the individual 3 or is fixed on the body of the individual 3, such as by means of removable attachment means.

[0030] Advantageously, the sensor 4 is of the type of an inertial sensor.

[0031] Further embodiments of the system 1 cannot however be ruled out, wherein the sensor 4 may be of a different type, such as pressure, position, speed sensor and the like.

[0032] In addition, further embodiments of the system 1 cannot be ruled out, wherein the sensor means 2 may comprise a plurality of sensors 4, e.g., equal to each other or of different types, or a plurality of sensors 4 equal to each other and a plurality of sensors 4 of different types.

[0033] Specifically, the sensor means 2 comprise at least one sensor 4 arranged at each foot of the individual 3. Appropriately, the sensor means 2 comprise at least one further sensor 4 worn, in use, by the individual 3 at his / her chest and / or bust.

[0034] According to the invention, the system 1 comprises data processing means 5 operationally connected to the sensor means 2 and configured to process at least one descriptive data item of the walk of the individual 3 depending on the mobility data item.

[0035] Advantageously, the processing means 5 are operationally connected to the sensor means 2 wirelessly, e.g., via a connection network of known type such as Bluetooth, WiFi, the Internet or the like.

[0036] Preferably, the processing means 5 are of the type of an electronic data processing device of the portable type, that is, one that can be easily carried, e.g. in the hand or pocket, by the same individual 3 while walking.

[0037] Conveniently, the processing means 5 are of the type of a smartphone, a smartwatch, a tablet or the like.

[0038] Further embodiments of the system 1 cannot however be ruled out, wherein the processing means 5 may be of a different type, such as a PC, server or the like.

[0039] Conveniently, the processing means 5 are configured to process the mobility data item in real time, substantially while the individual 3 is walking.

[0040] Advantageously, the descriptive data item is selected from the list comprising at least one of: number of steps per minute; foot contact with the ground; step length; step speed; asymmetry between the step of the right foot and that of the left foot; step height; flight phase of the foot; posture of the individual 3.

[0041] Preferably, by “foot contact with the ground” is meant the so-called heel strike and / or toe off and / or mid swing.

[0042] According to the invention, the system 1 comprises storage means 6 configured to store at least one descriptive reference data item of a reference walk of the individual 3.

[0043] In particular, the reference data item is of the same type as the descriptive data item.

[0044] In fact, the descriptive data item and the reference data item substantially describe the same parameter of the walk of the individual 3.

[0045] Advantageously, the storage means 6 are of the type of an electronic device for storing digital data. Conveniently, the storage means 6 are operationally linked to the processing means 5. It cannot be ruled out that the storage means 6 may be operationally connected to the sensor means 2 and / or be configured to store the mobility data item.

[0046] Preferably, the storage means 6 are built into the processing means 5.

[0047] It cannot however be ruled out that the storage means 6 may be separate from the processing means 5 and may be, e.g., of the type of a PC, server or the like.

[0048] According to the invention, the system 1 comprises stimulation means 7 worn, in use, by the individual 3 and configured to emit at least one feedback relating to the walk of the individual 3 and perceptible by the latter.

[0049] Preferably, the stimulation means 7 are configured to emit at least one feedback following a predefined waiting time. More specifically, the stimulation means 7 are configured to emit the feedback whenever at least a time span equal to the waiting time has elapsed. In other words, this expedient makes it possible to time the emission of feedback.

[0050] Conveniently, the stimulation means 7 are of the type of electronic means.

[0051] Preferably, the stimulation means 7 are configured to emit one feedback of the audio type, i.e., audible to the individual 3.

[0052] For example, the stimulation means 7 comprise at least one speaker, preferably in the form of an earpiece(s) or the like.

[0053] According to the invention, the system 1 is activatable in at least one training configuration wherein: the processing means 5 are configured to compare, for a plurality of monitoring time intervals, the descriptive data item and the reference data item, so as to check whether the descriptive data item is comprised in or excluded from at least one range of variation from the reference data item; the stimulation means 7 are configured to emit at least one feedback depending on the result of at least one of the comparisons.

[0054] The term “range of variation from the reference data item” substantially means a range of variation of the reference data item between a pair of threshold values, i.e., preferably between a higher threshold value, greater than the reference data item, and a lower threshold value, less than the reference data item.

[0055] Specifically, this range allows evaluating the difference between the reference walk and the walk of the individual 3 while using the system 1 in the training configuration.

[0056] Preferably, stating that the descriptive data item is comprised in or excluded from the range of variation indicates that the descriptive data item is inside or outside the range of variation, respectively.

[0057] Usefully, this comparison is carried out for a plurality of monitoring time intervals so as to evaluate the difference between the walk of the individual 3 and the reference walk during each interval. Preferably, the monitoring time intervals are subsequent to each other and / or consecutive to each other.

[0058] Preferably, the processing means 5 are configured to compare the descriptive data item and the reference data item at each monitoring time interval.

[0059] In this way, as a result of the comparison, the individual 3 perceives, through the stimulation means 7, the feedback and possibly modifies or tries to modify his or her walk, e.g., during the monitoring time interval following the emission of the feedback.

[0060] According to the invention, in the training configuration, the processing means 5 are configured to vary (preferably at the end of at least one of the monitoring time intervals) the range of variation depending on the comparison result, so as to vary the probability of the stimulation means 7 emitting feedback for at least one of the successive comparisons.

[0061] In fact, the descriptive data item is more likely to be comprised within a widened range of variation than within a narrow range of variation.

[0062] In other words, variation within the range of variation substantially increases or decreases the amplitude of the same range, e.g. by modifying at least one of the threshold values. As a result, it is more or less likely that the descriptive parameter processed from the mobility data item is comprised or excluded from the range of variation, respectively.

[0063] Likewise, it also turns out to be more or less likely that feedback will be emitted, respectively.

[0064] For example, in the case where the reference data item indicates 30 steps per minute and the range of variation indicates a range between 28 and 32 steps per minute, a new range of variation indicating a range between 22 and 38 makes it, e.g., more likely that the individual 3 will be able to perform a number of steps within the new range and thus that during the next comparison the descriptive data item will be within the new range, by substantially varying the probability that feedback will be emitted.

[0065] Indeed, with reference to the previous example, in the case where the stimulation means 7 are configured to emit feedback when the descriptive data item is excluded from the range of variation, the probability of emitting feedback would be reduced. Absurdly, by varying the range between 2000 and 3000 steps per minute, the probability of emitting the feedback would be substantially 100%.

[0066] Preferably, the processing means 5 are configured to vary the range of variation at the end of each of the monitoring time intervals.

[0067] In particular, the processing means 5 are configured to vary at least one of the range threshold values.

[0068] In more detail, the processing means 5 are configured to vary at least one of the range threshold values, that is, preferably at least one of either the upper threshold value or the lower threshold value.

[0069] Preferably, the processing means 5 are configured to vary the range of variation by a percentage value of the range of variation or by a preset value.

[0070] Specifically, the processing means 5 are configured to vary at least one of either the upper threshold value or the lower threshold value of respective percentage values of the range of variation or of respective preset values.

[0071] In more detail, the processing means 5 are configured to independently vary the upper threshold value and the lower threshold value.

[0072] For example, the processing means 5 are configured to reduce or increase each threshold value differently, so as to reduce or increase the range of variation asymmetrically from the reference data item.

[0073] It cannot, however, be ruled out that the processing means 5 may be configured to reduce or increase each threshold value in the same way, so as to reduce or increase the range of variation symmetrically with respect to the reference data item.

[0074] Preferably, the processing means 5 are configured to vary the range of variation no more than a predefined maximum limit range of variation and / or a minimum limit range of variation.

[0075] Specifically, the processing means 5 are configured to vary at least one of either the upper threshold value or the lower threshold value no more than respective maximum and minimum upper / lower threshold values.

[0076] Preferably, in the present disclosure, the expression “vary the range of variation” means varying the range itself and / or one or more of the entities defining the range thereof, e.g. the threshold value, the limit range of variation and / or one or more of the entities introduced earlier and / or later in the present disclosure.

[0077] It cannot also be ruled out that the processing means 5 may be configured to vary the range of variation regardless of whether the system 1 is in the training configuration.

[0078] Conveniently, the processing means 5 are configured to: expand the range of variation when the processed data item is excluded from the same range; and / or reduce the range of variation when the processed data item is comprised within the same range.

[0079] Specifically, when the descriptive data item is comprised within the range of variation, the walk of the individual 3 is considered to be quite similar to the reference walk. Therefore, the processing means 5 are configured to reduce the reference range and spur the individual 3 to further improve his / her walk. Such improvement is appreciable, e.g., during a subsequent monitoring time interval. However, if such improvement does not occur, the processing means 5 could increase the range of variation and, possibly, the stimulation means 7 could emit appropriate feedback adapted to help the individual 3 improve his / her walking, as described later in this disclosure.

[0080] Usefully, the processing means 5 are configured to vary the range of variation following a predefined number of positive comparisons, possibly consecutive, in which the descriptive data item is comprised within the range and / or following a predefined number of negative comparisons, possibly consecutive, in which the descriptive data item is excluded from the range.

[0081] It cannot, however, be ruled out that the processing means 5 may be configured to vary the range as a result of a predefined training time. In other words, the processing means 5 are configured to vary the range whenever a time frame equal to the predefined training time elapses. This expedient allows the range variation to be timed.

[0082] Conveniently, the processing means 5 are configured to vary the range of variation depending on at least one corrective parameter signaling at least one of: at least one drug taken by the individual 3; the dosage of at least one drug taken by the individual 3; the period of intake of at least one drug within a predefined time frame (e.g. the time of intake within the day or the time frame from when training with the device in the training configuration is carried out; the physical state of the individual 3; the level of physical activity of the individual 3 (defined depending on clinical rating scales, such as e.g. the A.D.L. (Index of Independence in Activities of Daily Living) and / or the I.A.D.L. (Instrumental Activities of Daily Living Scale)) scale; the semantics of training parameter variation.

[0083] In other words, the processing means 5 are configured to vary the range of variation depending on the type of the corrective parameter, that is, depending on the signaling of that parameter in accordance with the list above.

[0084] It cannot be ruled out that the processing means 5 may be configured to vary the range of variation depending on a plurality of corrective parameters.

[0085] Furthermore, it cannot be ruled out that the processing means 5 may be configured to vary the range of variation depending on the magnitude of one or more corrective parameters.

[0086] Preferably, the term “magnitude” employed with reference to the corrective parameter means the quantity, such as a two- or four-times-a-day intake period, or the kind, such as a first drug or a second drug different from each other, specified by the corrective parameter.

[0087] It cannot, however, be ruled out that the corrective parameter may be of the type of a numerical parameter adapted to mathematically vary the range of variation and / or that one or more corrective parameters correspond to a numerical parameter adapted to mathematically vary the range of variation.

[0088] Usefully, the system 1 is operable in a plurality of different training configurations depending on one or more corrective parameters. In addition, the processing means 5 are configured to vary the range of variation differently in each of these different training configurations.

[0089] In other words, the type of parameter and / or the magnitude of a corrective parameter and / or of the combination of one or more corrective parameters defines a different training configuration.

[0090] Moreover, in each of these training configurations, the processing means 5 are configured to vary the range of variation differently, e.g. by increasing or decreasing the range of variation more than other configurations.

[0091] For example, in the case where a corrective parameter signals that a drug is taken at a distance of 3 hours from when training is carried out, the system 1 is operated in a training configuration wherein the processing means 5 are configured to vary the range of variation more significantly (e.g., by increasing the range of variation more) than in the case wherein the corrective parameter signals that a drug is taken at a distance of 1 hour from when training is carried out.

[0092] Advantageously, the stimulation means 7 are configured to interrupt the emission of the feedback if the descriptive data item is excluded from the range of variation for a predefined number of monitoring time intervals.

[0093] Preferably, the stimulation means 7 are configured to interrupt the emission of the feedback if the descriptive data item is excluded from the range of variation for a predefined number of successive and / or consecutive monitoring time intervals.

[0094] In this way, if the descriptive data item is excluded from the range for several monitoring time intervals, e.g. consecutive, the individual 3 stops perceiving the feedback.

[0095] This expedient makes the use of the system 1 more pleasant, e.g., by those individuals 3 who experience frequent temporary declines in their motor skills. In fact, during such declines, the system 1 interrupts the emission of the feedback with the aim of avoiding annoying the already struggling individual 3 with continuous feedback.

[0096] Specifically, the reference data item defines at least one characteristic phase of the reference walk of the individual 3 which is repeated over time.

[0097] In fact, walking is a motor process carried out by means of the repetition of dynamic actions that enable the individual to walk.

[0098] Usefully, the processing means 5 are configured to process at least one reference feedback which is substantially consi stent / synchronized to the repetition of such a characteristic phase.

[0099] Specifically, the processing means 5 are configured to process the reference feedback depending on the stored reference data item. In this way, the reference feedback is adapted to stimulate the individual 3 in a substantially consistent / synchronized manner with the reference data item, i.e., the reference walk.

[0100] Specifically, the stimulation means 7 are configured to emit the reference feedback to enable the individual 3 to follow it and to synchronize his / her walk with the reference walk.

[0101] Usefully, the reference feedback is audio feedback comprising at least one sound that repeats in a substantially consistent / synchronized manner with the characteristic phase.

[0102] It cannot however be ruled out that the reference feedback may comprise a musical track, possibly digitally modified, e.g., by modulation, which involves the emission of at least one sound, e.g., a bass, that is repeated in a consistent / synchronized manner with the characteristic phase.

[0103] Preferably, the stimulation means 7 are configured to emit the reference feedback substantially for a stimulation time, e.g. coinciding with the monitoring time interval.

[0104] Conveniently, in the training configuration, the stimulation means 7 are configured to emit at least one command feedback which signals to the individual 3 to vary the walk from the previous monitoring time interval and / or to keep the walk substantially unchanged from the previous monitoring time interval.

[0105] Usefully, the command feedback is audio verbal feedback that provides an indication understandable by the individual 3.

[0106] Conveniently, the stimulation means 7 are configured to emit both reference feedback and command feedback.

[0107] Preferably, the command feedback is emitted before or after the reference feedback.

[0108] It cannot, however, be ruled out that command feedback and reference feedback are emitted at least partly at the same time.

[0109] Advantageously, the processing means 5 are configured to anticipate or delay the emission of feedback, e.g. to facilitate the individual 3 to synchronize his / her walk with the reference walk. Indeed, it may be beneficial for some individuals 3 to receive the reference feedback early or late rather than to receive it substantially in a consistent / synchronized manner with the characteristic phase.

[0110] It cannot also be ruled out that the processing means 5 may be configured to vary the type of emitted feedback.

[0111] Advantageously, the system 1 is operable between the training configuration and at least one calibration configuration, wherein the processing means 5 are configured to store the descriptive data item in the storage means 6 to define the reference data item.

[0112] In other words, in the calibration configuration, the descriptive data item processed by the processing means 5 defines the reference data item employed in the training configuration.

[0113] In fact, the calibration configuration is intended to “record” a walk of the individual 3 that will serve the same individual as reference walk when using the device in the training configuration. Appropriately, the system 1 is operated in the calibration configuration while the individual 3 is walking in a controlled environment, i.e., a flat and / or obstacle-free environment.

[0114] Conveniently, the processing means 5 are configured to process a plurality of descriptive data different from each other.

[0115] Appropriately, each of the descriptive data describes a different parameter of the walk of the individual 3.

[0116] In fact, each descriptive data item is selected from the list comprising at least one of: number of steps per minute; foot contact with the ground; step length; step speed; asymmetry between the step of the right foot and that of the left foot; step height; flight phase of the foot; posture of the individual 3.

[0117] In addition, the storage means 6 are configured to store a plurality of reference data different from each other, each relating to a corresponding descriptive data item.

[0118] In addition, in the training configuration, the processing means 5 are configured to compare, for a plurality of monitoring time intervals, one or more of the descriptive data with the corresponding reference data item.

[0119] In other words, in the training configuration, the processing means 5 are configured to check, for a plurality of monitoring time intervals, whether one or more of the descriptive data is comprised in or excluded from a respective range of variation with respect to the corresponding reference data item.

[0120] Similarly, in the training configuration, the stimulation means 7 are configured to emit at least one feedback for each comparison depending on the result of the comparison itself.

[0121] Conveniently, the system 1 is operable in a plurality of training configurations, wherein the descriptive data item compared in at least one of the training configurations is different from the descriptive data item compared in another of the training configurations.

[0122] In other words, the system 1 allows the individual 3 to train different parameters of his / her walk. In fact, each descriptive data item describes a different parameter of the walk of the individual 3. Preferably, the processing means 5 are configured to check, during the first monitoring time interval, whether the descriptive data item is comprised in or excluded from at least one initial range of variation, possibly varied at the end of the first monitoring time interval and / or at the end of subsequent monitoring time intervals.

[0123] Advantageously, the processing means 5 are configured to vary the range of variation, e.g. the initial range of variation, of a training configuration depending on one or more comparisons of one or more of the previous training configurations.

[0124] In other words, the result of one or more comparisons carried out during one or more work configurations influences the variation of the range of variation during one or more subsequent configurations.

[0125] Usefully, the processing means 5 are configured to: vary the descriptive data item with a different descriptive data item during the same training configuration; and / or vary the descriptive data item with a different descriptive data item between different training configurations.

[0126] In other words, during the same training configuration and / or between different training configurations, the processing means 5 are configured to vary the type of the processed descriptive data item.

[0127] For example, the processing means 5 are initially configured to process the “number of steps per minute” and later to process the “foot contact with the ground”. At the same time, the processing means 5 are configured to vary the reference data item with the reference data item consistent with the new descriptive data item.

[0128] In this way, during the same training configuration and / or during different training configurations, the system 1 allows the individual 3 to train different parameters of his / her walk.

[0129] Specifically, the processing means 5 are configured to vary the descriptive data item randomly and / or depending on at least one indicative parameter defining, for each different descriptive data item, substantially the number of times the descriptive data item is comprised in or excluded from the corresponding range of variation.

[0130] In other words, the processing means 5 are configured to vary the descriptive parameter depending on the indicative parameter, that is, depending on the number of times the descriptive data item is comprised in or excluded from the corresponding range of variation.

[0131] For example, when the descriptive parameter is comprised within the corresponding reference range for a predetermined number of times, the processing means 5 switch to process a new descriptive data item, different from the previous one.

[0132] Specifically, the processing means 5 are configured to vary the descriptive data item from that to which the highest indicative parameter corresponds to that to which the smallest indicative parameter corresponds or vice versa.

[0133] Usefully, the system 1 comprises interface means 8 with at least one user, configured to: operate the system 1 in at least one of either the training configuration or the calibration configuration; and / or report to the individual 3 the start and / or the end of the training configuration and / or of the calibration configuration; and / or report to the individual 3 at least one time data item defining at least one of year, month, day, hour and minute wherein to operate the system 1 in the training configuration; and / or signal the corrective parameter; and / or signal the descriptive data item to be compared in the training configuration; and / or show the user the descriptive data item, the reference data item, the range of variation, the time data item, the monitoring time interval, the indicative parameter and / or the corrective parameter.

[0134] Appropriately, the interface means 8 comprise at least one interface device 9 employed by the individual 3.

[0135] Specifically, the interface device 9 comprises at least one screen and at least one data input device, such as a keyboard, keypad, the screen itself (touch screen) or the like.

[0136] Specifically, the interface device 9 is built into the processing means 5.

[0137] Preferably, the interface means 8 comprise an additional interface device 10, e.g., separate from the processing means 5, employed by a user different from the individual 3, e.g. a doctor, a therapist or the like.

[0138] For example, the additional interface device 10 is of the type of a PC, server, smartphone, smartwatch, tablet or the like.

[0139] Moreover, it cannot be ruled out that the interface means 8 may comprise a plurality of additional interface devices 10 employed, e.g., by different users.

[0140] Advantageously, the processing means 5 are configured to process, for each training configuration, at least one successful parameter which substantially defines the number of time intervals wherein the descriptive data item is comprised in or is excluded within the range of variation.

[0141] In other words, the successful parameter provides for an indication of how similar the walk of the individual 3 is to the reference walk.

[0142] In this way, the processing means 5 are configured to vary at least the range of variation depending on the successful parameter processed with reference to one or more work configurations.

[0143] For example, through the successful parameter, the system 1 allows identifying, among the training configurations, the one in which the walk of the individual 3 was most similar to the reference walk.

[0144] For example, the processing means 5 are configured to compare the processed successful parameters with each other with reference to the training configurations and preferably to detect one or more training configurations for which the highest or lowest successful parameter has been processed.

[0145] Appropriately, the processing means 5 are configured to vary one or more aspects of the training configuration, e.g., such as the type of feedback emitted, the delay or advance in emitting feedback, the time data item, the training time, the waiting time, the predefined number of positive comparisons, the predefined number of negative comparisons, depending on the successful parameter processed with reference to one or more previous training configurations.

[0146] In fact, it cannot be ruled out that the same aspects may be employed in the training configuration as those employed with reference to one or more previous training configurations for which the highest successful parameter has been processed.

[0147] In other words, it cannot be ruled out that the processing means 5 may be configured to vary the aspects of the training configuration so as to place the individual 3 in the most favorable condition for his / her walk to be as similar as possible to the reference walk on the basis of the successful parameter processed with reference to the previous training configurations and on the basis of the aspects related to the same configurations.

[0148] For example, if the processing means 5 verified that the highest successful parameter is processed with reference to walks performed by the individual 3 always in the same time frame of the day, then the system 1 will propose to the individual 3 to start the training configuration in the same time frame.

[0149] Usefully, the processing means 5 are configured to indicate, e.g. through appropriate display means the descriptive data item, the reference data item, the range(s) of variation, the time data item, the monitoring time interval, the indicative parameter, the corrective parameter and / or at least one of the aspects related to one or more training configurations.

[0150] Specifically, the processing means 5 are configured to indicate the descriptive data item, the reference data item, the range(s) of variation, the time data item, the monitoring time interval, the indicative parameter, the corrective parameter, the predefined number of positive comparisons, the predefined number of negative comparisons and / or at least one of the aspects related to one or more training configurations for which the highest or lowest successful parameter has been processed.

[0151] It cannot also be ruled out that the processing means 5 may be configured to process, for one or more of the monitoring time intervals of one or more training configurations, at least one similarity parameter which substantially defines the difference between the descriptive data item and the reference data item.

[0152] In other words, the similarity parameter provides for an indication of how similar the walk of the individual 3, in the corresponding monitoring time interval, is to the reference walk. In this way, the processing means 5 are configured to vary at least the range of variation depending on the similarity parameter processed with reference to one or more monitoring intervals.

[0153] For example, the processing means 5 are configured to compare the similarity parameters with each other processed with reference to the monitoring intervals and preferably to detect one or more monitoring intervals for which the highest or lowest similarity parameter has been processed. Appropriately, the processing means 5 are configured to vary one or more aspects of the monitoring interval, such as e.g. the type of feedback emitted, the delay or advance in emitting feedback, the time data item, the training time, the waiting time, the predefined number of positive comparisons, the predefined number of negative comparisons, depending on the similarity parameter processed with reference to one or more previous monitoring intervals.

[0154] In fact, it cannot be ruled out that the same aspects may be employed in the monitoring interval as those employed with reference to one or more previous monitoring intervals for which the highest similarity parameter was developed.

[0155] In other words, it cannot be ruled out that the processing means 5 may be configured to vary the aspects of the training configuration so as to place the individual 3 in the most favorable condition for his / her walk to be as similar as possible to the reference walk on the basis of the similarity parameter processed with reference to one or more previous monitoring intervals and on the basis of the aspects related to the same monitoring intervals.

[0156] For example, if the processing means 5 have verified that the highest similarity parameter is processed with reference to a monitoring interval wherein the stimulation means 7 emit substantially consistent / synchronized reference feedback, then the system 1 will emit the same feedback for the subsequent monitoring intervals.

[0157] Usefully, the processing means 5 are configured to indicate, e.g. through appropriate display means, the descriptive data item, the reference data item, the range(s) of variation, the time data item, the training configuration of the monitoring interval, the indicative parameter, the corrective parameter and / or at least one of the aspects related to one or more monitoring intervals.

[0158] Specifically, the processing means 5 are configured to indicate the descriptive data item, the reference data item, the range(s) of variation, the time data item, the training configuration of the monitoring interval, the indicative parameter, the corrective parameter, the predefined number of positive comparisons, the predefined number of positive comparisons, and / or at least one of the aspects related to one or more monitoring intervals for which the highest or lowest successful parameter has been processed.

[0159] Appropriately, the processing means 5 comprise an artificial intelligence system configured to vary at least one of the above-mentioned aspects of the work configuration and / or of the monitoring interval depending on the successful parameter and / or on the similarity parameter processed with reference to one or more previous work configurations and / or one or more previous monitoring intervals and / or depending on the aspects related to the same configurations and / or to the same monitoring intervals.

[0160] In other words, the artificial intelligence is configured to vary at least one of the aspects of the work configuration and / or of the monitoring interval depending on the successful parameter, on the similarity parameter and / or on one or more aspects related to one or more previous work configurations and / or previous monitoring intervals.

[0161] It cannot also be ruled out that the processing means 5 may be configured to vary (sequentially, periodically, randomly and / or in similar ways) at least one of the aforementioned aspects of the work configuration and / or of the monitoring interval for a predefined calibration time in order to process one or more successful parameters and / or one or more similarity parameters.

[0162] In this way, during the calibration time, the system subjects the individual 3 to different aspects in order to identify, through one or more successful parameters and / or one or more similarity parameters, the conditions allowing the individual 3 to obtain the best results.

[0163] According to a further aspect, the present invention relates to a corrective method for the walking of individuals with mobility impairment carried out by means of the system 1.

[0164] Preferably, according to the invention, steps or phases comprised by the corrective method are meant to be one or more of the operations carried out by one or more of the components of the system 1 and are generally anticipated in this disclosure by the term “configured to”, “adapted to” or equivalent terms. Such steps or phases are preferably, but not necessarily, carried out by the same components in question and / or by the system 1 for the execution of the method itself.

[0165] It has in practice been ascertained how the described invention achieves the intended objects.

[0166] In particular, the fact is emphasized that changing the range of variation performed by the data processing means allows adapting the operation of the system to the performance of the individual using it.

[0167] Specifically, the change in the range of variation performed by the data processing means allows varying the frequency of feedback emission according to the performance of the individual using the system.

[0168] In addition, the data processing means allow emitting feedback from the performance of the individual using the system.

Claims

CLAIMS1) Corrective system (1) for the walking of individuals with mobility impairment, comprising: sensor means (2) worn, in use, by an individual (3) with mobility impairment and provided with at least one sensor (4) arranged, in use, where at least one foot of the individual (3) is located and configured to detect at least one mobility data item relating to the walk of the individual (3) during walking; data processing means (5), operationally connected to said sensor means (2) and configured to process at least one descriptive data item of the walk of the individual (3) depending on said at least one mobility data item; storage means (6), configured to store at least one descriptive reference data item of a reference walk of the individual (3); stimulation means (7) worn, in use, by the individual (3) and configured to emit at least one feedback relating to the walk of the individual (3) and perceptible by the latter; said system (1) being activatable in at least one training configuration wherein: said processing means (5) are configured to compare, for a plurality of monitoring time intervals, said at least one descriptive data item and said at least one reference data item, so as to check whether said at least one descriptive data item is comprised in or excluded from at least one range of variation from said at least one reference data item; said stimulation means (7) are configured to emit at least one feedback depending on the result of at least one of said comparisons; characterized by the fact that, in said training configuration, said processing means (5) are configured to vary said range of variation depending on the result of at least said comparison, so as to vary the probability of said stimulation means (7) emitting said feedback for at least one of said successive comparisons.2) System (1) according to claim 1, characterized by the fact that said range of variation substantially indicates a range of variation of said reference data item between a pair of threshold values, that is, between a higher threshold value, greater than said reference data item, and a lower threshold value, lower than said reference data item, so as to evaluate the difference between the reference walk and the walk of the individual (3) while using said system (1) in said training configuration.3) System (1) according to one or more of the preceding claims, characterized by the fact that said processing means (5) are configured to vary at least one of either said upper threshold value or said lower threshold value of said range of variation.4) System (1) according to one or more of the preceding claims, characterized by the fact that said processing means (5) are configured to vary said range of variation of said training configurationdepending on one or more comparisons of one or more previous training configurations.5) System (1) according to one or more of the preceding claims, characterized by the fact that said sensor means (2) comprise at least one further sensor (4) worn, in use, by the individual (3) at their chest and / or bust.6) System (1) according to one or more of the preceding claims, characterized by the fact that it is operable between said training configuration and at least one calibration configuration, wherein said processing means (5) are configured to store said at least one descriptive data item in said storage means (6) to define said at least one reference data item.7) System (1) according to one or more of the preceding claims, characterized by the fact that said processing means (5) are configured to: expand said at least one range of variation when said at least one descriptive data item is excluded from the same range of variation; and / or reduce said at least one range of variation when said at least one descriptive data item is comprised in the same range of variation.8) System (1) according to one or more of the preceding claims, characterized by the fact that said processing means (5) are configured to vary said range of variation depending on at least one corrective parameter signaling at least one of: at least one drug taken by the individual (3); the dosage of at least one drug taken by the individual (3); the period of intake of at least one drug within a predefined time frame; the physical state of the individual (3); the level of physical activity of the individual (3); the semantics of training parameter variation.9) System (1) according to one or more of the preceding claims, characterized by the fact that it is operable in a plurality of different training configurations depending on one or more of said corrective parameters, said processing means (5) being configured to vary said range of variation differently in each of said different training configurations.10) System (1) according to one or more of the preceding claims, characterized by the fact that said stimulation means (7) are configured to interrupt the emission of said feedback if said at least one descriptive data item is excluded from said range of variation for a predefined number of monitoring time intervals.11) System (1) according to one or more of the preceding claims, characterized by the fact that: said at least one reference data item defines at least one characteristic phase of the reference walk of the individual (3) which is repeated over time; said processing means (5) are configured to process at least one reference feedback which isconsistent / synchronized to the repetition of said characteristic phase, said processing means (5) being configured to process said at least one reference feedback depending on said at least one stored reference data item; said stimulation means (7) are configured to emit said at least one reference feedback to enable the individual (3) to follow it and to synchronize their walk with the reference walk.12) System (1) according to one or more of the preceding claims, characterized by the fact that said stimulation means (7) are configured to emit at least one command feedback, said command feedback signaling to the individual (3) to vary the walk from the previous monitoring time interval and / or to keep the walk substantially unchanged from the previous monitoring time interval.13) System (1) according to one or more of the preceding claims, characterized by the fact that: said processing means (5) are configured to process a plurality of said descriptive data different from each other, each of said descriptive data describing a different parameter of the walk of the individual (3); said storage means (6) are configured to store a plurality of said reference data different from each other, each relating to a corresponding descriptive data item; said processing means (5) are configured to compare, for a plurality of monitoring time intervals, one or more of said descriptive data with the corresponding reference data item.14) System (1) according to one or more of the preceding claims, characterized by the fact that it is operable in a plurality of said training configurations, wherein said descriptive data item compared in at least one of said training configurations is different from said descriptive data item compared in another of said training configurations.15) System (1) according to one or more of the preceding claims, characterized by the fact that said processing means (5) are configured to vary said descriptive data item with a different descriptive data item during the same training configuration.16) System (1) according to one or more of the preceding claims, characterized by the fact that said processing means (5) are configured to vary said descriptive data item with a different descriptive data item between different training configurations.17) System (1) according to one or more of the preceding claims, characterized by the fact that said processing means (5) are configured to vary said range of variation following a predefined number of positive comparisons in which said descriptive data item is comprised within said range and / or following a predefined number of negative comparisons in which said descriptive data item is excluded from said range.18) System (1) according to one or more of the preceding claims, characterized by the fact that said processing means (5) are configured to vary said descriptive data item randomly.19) System (1) according to one or more of the preceding claims, characterized by the fact that said processing means (5) are configured to vary said descriptive data item depending on at least one indicative parameter defining, for each of said different descriptive data, substantially the number of times said descriptive data item is comprised within or excluded from the corresponding range of variation.20) System (1) according to one or more of the preceding claims, characterized by the fact that it comprises interface means (8) with at least one user, configured to: operate said system (1) in at least one of either said training configuration or said calibration configuration; and / or report to the individual (3) the start and / or the end of said training configuration and / or of said calibration configuration; and / or report to the individual (3) at least one time data item defining at least one of the year, month, day, hour and minute wherein to operate said system in said training configuration; and / or signal said at least one corrective parameter; and / or signal said at least one descriptive data item to be compared in said training configuration; and / or show the user said at least one descriptive data item, said at least one reference data item, said at least one range of variation, said at least one time data item, said at least one monitoring time interval, said at least one indicative parameter and / or said at least one corrective parameter.21) System (1) according to one or more of the preceding claims, characterized by the fact that said at least one descriptive data item is from the list comprising at least one of: number of steps per minute; foot contact with the ground; step length; step speed; asymmetry between the step of the right foot and that of the left foot; step height; flight phase of the foot; posture of the individual (3).22) System (1) according to one or more of the preceding claims, characterized by the fact that said processing means (5) are configured to process, for each training configuration, at least one successful parameter which substantially defines the number of time intervals wherein said descriptive data item is comprised in or is excluded within said range.23) System (1) according to one or more of the preceding claims, characterized by the fact that saidprocessing means (5) are configured to vary one or more aspects of the training configuration depending on said successful parameter processed with reference to one or more of the previous training configurations, said one or more aspects of the training configuration being selected from the list comprising the type of feedback emitted, the delay or advance in emitting feedback, the time data item, the training time, the waiting time, the predefined number of positive comparisons, the predefined number of negative comparisons.24) System (1) according to one or more of the preceding claims, characterized by the fact that said processing means (5) are configured to process, for one or more of said monitoring time intervals of one or more training configurations, at least one similarity parameter which substantially defines the difference between said descriptive data item and said reference data item.25) System (1) according to one or more of the preceding claims, characterized by the fact that said processing means (5) are configured to vary one or more aspects of the monitoring interval, depending on the similarity parameter processed with reference to one or more previous monitoring intervals, said one or more aspects of the monitoring interval being selected from the list comprising the type of feedback emitted, the delay or advance in emitting feedback, the time data item, the training time, the waiting time, the predefined number of positive comparisons, the predefined number of negative comparisons.26) System (1) according to one or more of the preceding claims, characterized by the fact that said processing means (5) are configured to vary at least said range of variation depending on said similarity parameter processed with reference to one or more monitoring intervals.27) System (1) according to one or more of the preceding claims, characterized by the fact that said processing means (5) are configured to indicate the reference data item, the range(s) of variation, the time data item, the training configuration of the monitoring interval, the indicative parameter, the corrective parameter and / or at least one of the aspects related to one or more monitoring intervals.28) System (1) according to one or more of the preceding claims, characterized by the fact that said processing means (5) are configured to indicate the descriptive data item, the reference data item, the range(s) of variation, the time data item, the training configuration of the monitoring interval, the indicative parameter, the corrective parameter, the predefined number of positive comparisons, the predefined number of positive comparisons and / or at least one of the aspects related to one or more monitoring intervals for which the highest or lowest successful parameter has been processed.29) System (1) according to one or more of the preceding claims, characterized by the fact that said processing means (5) comprise an artificial intelligence system configured to vary at least one ofthe aspects of the work configuration and / or of the monitoring interval depending on the successful parameter and / or on the similarity parameter processed with reference to one or more previous work configurations and / or one or more previous monitoring intervals and / or depending on the aspects related to the same configurations and / or to the same monitoring intervals.

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