![]() System of intelligent monitoring probes applied to everyday objects (Machine-translation by Google T
专利摘要:
An invention is presented that aims to improve the current systems of observation of the activity of people of any age to diagnose psychomotor and cognitive difficulties. The specific objective is to develop a system that integrates sensors with sensors in everyday objects, that provide more precise information than simple observation, about how these objects are manipulated. The data on the manipulation of objects are collected by probes (101) with sensors integrated in objects and sent to a collector (102) which in turn sends them to a storage system (104) through a network (103), for further analysis by an analysis system (105). The system collects information from different people, with the aim of generating a knowledge base that helps the analysis processes. The system must guarantee the privacy of the information about people it manages. (Machine-translation by Google Translate, not legally binding) 公开号:ES2663417A1 申请号:ES201600597 申请日:2016-07-20 公开日:2018-04-12 发明作者:Juan Ramón VELASCO PÉREZ;Bernardo ALARCOS ALCÁZAR;Antonio GARCÍA HERRAIZ;Diego RIVERA PINTO;María Del Mar LENDINEZ CHICA;Andrés NAVARRO GUILLÉN;Antonio José DE VICENTE RODRIGUEZ;Isaías MARTINEZ YELMO;Susana NUÑEZ NAGY;Tomás GALLEGO IZQUIERDO;Roberto José RAMÍREZ ROMERO;Cristina SERRANO GARCÍA;Cristina LAORDEN GUTIERREZ;Montserrat GIMENÉZ HERNÁNDEZ;Pilar ROYO GARCÍA;Miguel Ángel VALERO DUBOY;Ana GÓMEZ OLIVA;Celia FERNÁNDEZ ALLER;Eloy PORTILLO ALDANA;Emilia PÉREZ BELLEBONI;Carlos RAMOS NESPEREIRA;Javier MALAGÓN HERNÁNDEZ;María Luisa MARTIN RUIZ;Laura VADILLO MORENO;Hugo Alexer PARADA GÉLVEZ;Ángeles GUTIÉRREZ GARCÍA;Cristina DEL BARRIO MARTINEZ;Kevin VAN DER MEULEN;José Eugenio ORTEGA RUANO 申请人:Universidad Politecnica de Madrid;Universidad Autonoma de Madrid;Universidad de Alcala de Henares UAH; IPC主号:
专利说明:
INTELLIGENT MONITORING PROBE SYSTEM APPLIED TOOBJECTS FOR EVERYDAY USE 5 TECHNICAL SECTOR The present invention belongs to the field of health, medical diagnosis and child development. BACKGROUND OF THE INVENTION 10 Child development professionals use developmental scales [Roid, G. H., and Sampers, J.L .. Merril / -Pa / mer-revised sea / es of deve / opment. Stoe / ting, 2004][Provost, Beth and Heimer /, Sandra and MeC / ain, Cate and Kim, Nae-Hwa and Lopez,Brian R. and Kodituwakku, Piyadasa, Coneurrent Validity of the Bay / ey Sea / es of / nfant Deve / opment "Motor Sea / e and the Peabody Deve / opmenta / Motor Sea / es-2 in 15 Children with Deve / opmenta / De / ays, Pediatrie Physiea / Therapy: 2004 -Vo / ume 16 / ssue 3 -pp 149-156 J for the evaluation of the development of children and the detection of possible difficulties. The application of these scales is based on observation while the child manipulates certain objects such as rattles, cubes, balls, etc. These scales define the objectives that children of different ages must meet 20 in the manipulation of objects and allow to identify delays in cognitive and psychomotor development. The examiner must verify if the child is capable of doing an activity with an object and in some cases the time in which it is done. The tools that the professional uses to carry out the activities defined in the scale are, a chronometer for the manual taking of the times of the performance of the 25 the entire activity, a form that is filled in throughout the activity and the objects or toys defined on the scale. Optionally, a video camera can be used to record the activities and be able to make a later visualization. This study is carried out with the periodicity set by each health system, in the event that any anomaly has been detected by the user's environment. Today there are many works aimed at applying the so-called Internet of Things (Internet of Things, 10T) in many aspects of life. Most of them looking for a better knowledge of the habits of the users, either for commercial uses or to make our lives easier. There are other applications of 10T 35 [Gerd Kortuem; Fahim Kawsar; Vasughi Sundramoorthy; Danie / Fitton. "Smart objeets as building bloeks for the Internet of things" IEEE Internet Computing (Volume: 14, Issue: 1, Page 44-51)] that seek the safety of users who carry these devices (wearables). Other related studies in the same vein are [Donghee S., et al. "Multifunetional wearable deviees for diagnosis and therapy of movement disorders", Nature Nanoteehnology 9, 397-404 (2014)] Y [Marsehollek M, et al. "Wearable sensors in healtheare and sensor-enhaneed health information systems: all our tomorrows " Healthe Inform Res. 2012 Jun; 18 (2): 97-104]. In the area of diagnosis of Autism Spectrum Disorder (ASD) in children up to 12 months, the work presented in [Traey L. Westeyn, Gregory D. Abowd, Thad E. Starner, Jeremy M. Johnson, "Monitoring ehildren's developmental progress using augmented toys and aetivity reeognition "Personal and Ubiquitous Computing. 2012 -Springer payment 169-191] is based mainly on the analysis of videos to determine whether or not the child manipulates a series of objects, and with what frequency. But the study does not deal with the way objects are manipulated. Regarding the studies related to elderly people, they are based on the adaptation of homes to facilitate the lives of these people, on tele-assistance and the detection of falls. DESCRIPTION OF THE INVENTION The present invention defines a data capture and analysis system, which parameterizes the way of using everyday objects such as cups, spoons or toys. To do this, sensors are integrated into these objects. The objective of this system is to detect possible cognitive or psychomotor difficulties in people after analyzing the data collected when using the objects. In this way, the analysis of the information results in a series of alerts that will help health science professionals to determine if a user should be observed / analyzed more carefully. The system defined in this invention is useful for detecting abnormal motor patterns during activities in which both fine and gross motor skills are used. The movements of fine motor skills are of less spatial path, usually slower and more controlled; Such is the case of manual writing, the realization of a tower or the stringing of the accounts of a necklace. While gross motor skills are made up of movements that are very broader, less controlled and no longer based so much on visual coordination manual but in the general coordination of the body in relation to space, as It happens when a ball is kicked. The system may be calibrated to 5 that can be applied both to the detection of movement patterns of fine and gross motor skills. When movements are well organized into functional sequences and intentional, that is, when we are before the so-called "praxias", for example, 1 O take a cup of coffee and drink from it by the handle, it is relatively easy to describe the motor pattern and any alteration of it using the probe monitoring. Thus, it not only has an application in the detection of difficulties of the motor and cognitive development of children but will also be useful in the diagnosis of motor difficulties that occur in adults who, for example, have fifteen suffered a cerebrovascular accident and have affected areas of the cerebral cortex motor, or have some type of disease that causes cognitive impairment. The system consists of one or more probes to which are coupled sensors and a collector. The collector receives the information from the sensors integrated in the probes twenty and sends them to a storage system, through a network, for later analysis by an analysis system. The probes are integrated into everyday objects such as a cup, a spoon, ball or rattle. 25 The probe is composed of a processor, a communication device wireless, a motion sensor, and connectors to integrate sensors such as light, force or other sensors. The probe will have dimensions reduced to be integrated into small objects and is powered by battery. 30 In addition, light and sound emitters will be incorporated into the probe so that they can perform indications on aspects of its operation. The collector communicates with the probes, managing the start and end of activities and receiving the sensor data from the probes. The activities may be 35 managed from a user interface running on a smartphone, tablet or computer and that it communicates wirelessly (wifi, bluetooth, NFC ...) with the collector. The person who manages the activity may add additional information about it to the interface, such as the identifier of the person who performs the activity, and visual observations on the development of the activity, which they see fit to write down. The collector communicates through a network connection with the storage system to send it the data collected from the activities. Activity is the period of time during which information is being collected from a person using an object sensed with the probe system. The storage system saves the information on the different activities in a database: type of activity, date on which the activity was carried out, the values of the sensors and notes on the professionals who have observed the activity (if applicable) . The analysis system retrieves the information from the storage system to analyze it applying data analysis techniques and artificial intelligence and obtain a diagnosis of any anomaly detected in the data of the person analyzed. To apply these analyzes, it is possible to have both the history of the same person with different sensorized objects over time (longitudinal analysis), as well as data from the same type of object, obtained from many people with similar characteristics (cross-sectional analysis). . Communication between the different parties (probes, collector, storage system and analysis system) is carried out using appropriate security mechanisms to guarantee an adequate level of privacy, authenticity and data integrity. Likewise, standard mechanisms that implement access control to the data will be used so that they can only be manipulated by authorized persons. One embodiment of this system consists of the integration of the probe in a cup to know the movement patterns when using it, with the aim of detecting possible onset of neurodegenerative diseases. Another embodiment consists of the integration of the probe inside a ball to analyze the shape and intensity with which a person hits or throws it with their hands, through parameters such as maximum acceleration, maximum speed or turns. Another embodiment consists of a set of cups where a probe is inserted into each of the cups and the time it takes a person to make the tower of the cups and the way in which they move is measured. By placing light sensors on the top and bottom faces of the cups you determine how many cups you have managed to put in the tower. Another embodiment applied to children under 1 year of age consists of integrating a probe with force sensors in a rattle to measure movement patterns and the force with which it is grasped. DESCRIPTION OF THE FIGURES Figure 1 shows the general scheme of the system with its main components, including from left to right the intelligent monitoring probes that send data to the collector and which in turn sends it through a network to the storage system for further analysis. In figure 2 you can see a diagram of the blocks that make up each intelligent monitoring probe. Figure 3 represents a schematic drawing of a probe, in which some of the sensors and elements that compose it can be seen. Figure 4 shows the diagram of one of the devices in which to incorporate the probes. The drawing represents a rattle that includes a probe with its sensors. METHOD OF REALIZATION The system, shown in figure 1, consists of one or more probes (101) to which sensors can be attached and a collector (102) that receives the information from the sensors integrated in the probes and sends them to a system storage (104), through a network (103), for subsequent analysis by an analysis system (105). The probes (101) are integrated into everyday objects such as a cup, spoon, ball or a rattle. Each probe is made up of the following elements, represented in the figure 2: a processor (201, 301), a wireless communication device (202, 302), a motion sensor (203, 303) that can integrate accelerometer, gyroscope and video recorder in the three spatial axes and connectors to be able to integrate sensors such as They can be light (204, 304), force (205, 304) or other (206, 304) sensors. The probe, schematically represented in figure 3, has reduced dimensions to be able to integrate it into small objects and an autonomous battery power system (207) of reduced size but at the same time with sufficient autonomy to support a complete work session without need to charge. In addition, light emitters (305) and a sound emitter (306) are incorporated into the probe so that it can make indications of a technical level (for example: sensor error), operational (ready) or stimulus indications to people who manipulate the object; for example, you can turn on a light or produce music if you reach a predefined goal. A preferred embodiment is a rattle with an integrated monitoring probe. A classic rattle is used by professionals to assess, for example, if a child under 1 year of age moves it when it is placed in their hand, with a simple visual appreciation. A rattle with motion sensors will give information about how you move it; If, in addition, force sensors are added, it will give information on the force with which it is grasped or from which parts of the rattle it is grasped, or if it is done with one hand or two. The rattle structure in the preferred embodiment is made up of two spheroids joined by a central handle as shown in figure 4. If a probe (401) is integrated into one of the spheroids, the information from its sensors can be measured and recorded with a predetermined period (for example every 10 milliseconds). The sensors used in this preferred embodiment are: A) The movement sensor (402), which gives movement patterns such as acceleration, speed and level of agitation in predefined periods of time (for example every 10 milliseconds), and it also measures the maximum values of these parameters during the observation time. B) Three force sensors (403), placed in the central handle and in each of the spheroids at the ends of the rattle, which allow knowing with what force the rattle is gripped by each of these parts. The probe is configured to emit sound in order to indicate events as start or end of activity. Likewise, flashes of light can be produced with movement and music to encourage the rattle to move. The other spheroid has an acoustic box (404) inside it to generate the typical noise of classic rattles when moved. From a user interface (106) the collector is indicated when to send the monitoring device start and end messages of activity, thus, for example, for an activity that consists of throwing a ball, it can be defined that it starts when indicated by the person who manages the system and finishes automatically when the ball stops. During the activity, the sensorization device periodically records the measured values of movement (acceleration, speed, rotation, level of agitation) and the average values of the three force sensors. These values can be sent to the collector as they are generated, or they are stored and sent at the end of the activity. You can also record the maximum values of these parameters and the instant of time from the start of the activity in which they were reached. The maximum values are transmitted to the collector after the activity has finished. INDUSTRIAL APPLICATION Object monitoring devices are clearly susceptible to industrial application. These devices, in different embodiments, can be incorporated into different objects of common use. Thus, by way of example, they can be incorporated into children's toys (for example, balls or rattles), with which it is possible to obtain information on their use. The data obtained can be used to identify possible unusual uses of the toys, and generate alerts about possible developmental difficulties of the child who is using them. In the same way, they can be soaked in cups or spoons, to detect if the tremors of an elderly person increase and detect possible diseases that cause cognitive impairment such as Parkinson's or Alzheimer's, or in any other everyday object to perform similar functions. The idea of its use in games is also possible in 5 elderly people, where they can be useful to record the use of different pieces. In this case, the data collected can make it possible to estimate the progression of diseases that lead to cognitive impairment.
权利要求:
Claims (13) [1] 1. System of intelligent monitoring probes applied to everyday objects that includes the following elements: to. Intelligent monitoring probe (101) with: i. Processor (201) that obtains the information from the sensors, processes them and sends them to a collector through wireless communication. ii. Wireless communication subsystem (202). iii. Sensors that collect information: movement (203), light (204), force (205) and others (206). iv. Battery (207). b. Collecting system (102) with wireless communication subsystem, which collects the information of the objects to process it and send it to a storage system (104) through a network (103) such as the Internet. c. User interface (106) so that users can control the data collection process generated by the probes. d. Analysis system (105) that processes the information of the objects to obtain the early detection of difficulties. [2] 2. Probe system according to claim 1, characterized in that it consists of one or more probes depending on the activity to be carried out. [3] 3. Probe system according to claim 2 characterized in that each probe that composes it can measure different parameters depending on the sensor that is integrated. [4] Four. Probe system according to claim 3 characterized in that each probe that composes it can measure movement patterns such as acceleration, speed, level of agitation, movement time and time to reach maximum values with movement sensors. [5] 5. Probe system according to claims 3 and 4 characterized in that each probe that composes it can measure the force with which they are held certain parts of the object with force sensors or you can measure the amount of light that the object receives through any of its parts, with light sensors. [6] 6. Probe system according to the preceding claims, characterized in that each probe that composes it can communicate with users by emitting sounds and / or light. [7] 7. Probe system according to the preceding claims characterized in that the probes of the system can be integrated into different everyday objects such as cups, spoons, puzzles, balls, rattles, among others. [8] 8. Probe system according to the preceding claims characterized in that different activities can be established with the objects, such as: drinking a cup of tea, moving the tea with a spoon, making a puzzle, moving a rattle or throwing a ball. [9] 9. Probe system according to the preceding claims characterized by having a user interface from which the type of activity and its phases can be controlled, and under what conditions an activity starts and ends. [10] 10. Probe system according to the preceding claims, characterized in that the collector (102) collects the data of the activities sent by the probes, said collector can be implemented in equipment such as a computer, tablet or Smartphone, which can be the same or a different one from the one used to implement the user interface. [11 ] eleven . Probe system according to the preceding claims, characterized in that the data generated by the probes, and stored in the different parts of the system or in the communication processes, are protected with mechanisms that guarantee an adequate level of privacy, integrity and authenticity. [12] 12. Probe system according to the preceding claims characterized by guaranteeing that only authorized persons can access the information that identifies the results of people's activities. [13] 13. Probe system according to the preceding claims characterized in that it uses data analysis systems with artificial intelligence techniques on the processed data of the probes, allowing the detection of psychomotor and cognitive difficulties in people of any age. ~~ ~ EiJ FIG.1 13 F ~ FIG.2 304 305 (~~~ J FIG.3 FIG.4
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同族专利:
公开号 | 公开日 ES2663417B1|2019-03-28|
引用文献:
公开号 | 申请日 | 公开日 | 申请人 | 专利标题 US20050228245A1|1999-12-17|2005-10-13|Q-Tec Systems Llc|Method and apparatus for health and disease management combining patient data monitoring with wireless internet connectivity| WO2005008914A1|2003-07-10|2005-01-27|University Of Florida Research Foundation, Inc.|Mobile care-giving and intelligent assistance device| GB2454705A|2007-11-16|2009-05-20|Milife Coaching Ltd|Wearable personal activity monitor and computer based coaching system for assisting in exercise| AU2009202482A1|2008-06-30|2010-01-28|Cretu-Petra, Eugen Mr|Multifunctional wireless intelligent monitor| US20110092779A1|2009-10-16|2011-04-21|At&T Intellectual Property I, L.P.|Wearable Health Monitoring System|
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