197 results about "Fall risk" patented technology

A method and system for determining the fall risk of a patient is provided. The method includes the evaluation of a patient to determine whether the patient exhibits one or more intrinsic fall risk factors selected from a group consisting of confusion, depression, altered elimination, dizziness, male gender, antiepileptic / anticonvulsant prescriptions and benzodiazepine prescriptions. A specific point value is assigned to each of the intrinsic risk factors found to be exhibited by the patient. A mobility test is also performed on the patient to evaluate the patient's ability to rise from a seated position, and a specific mobility test point value is assigned to the patient based upon the patient's performance of the mobility test. Each intrinsic risk factor's specific point value is then summed together with the specific mobility test point value to achieve a total risk score, and the patient's fall risk is determined based on the total risk score. An intervention process may be developed for the patient based on the patient's fall risk.

A method and system for determining the fall risk of a patient is provided. The method includes the evaluation of a patient to determine whether the patient exhibits one or more intrinsic fall risk factors selected from a group consisting of confusion, depression, altered elimination, dizziness, male gender, antiepileptic / anticonvulsant prescriptions and benzodiazepine prescriptions. A specific point value is assigned to each of the intrinsic risk factors found to be exhibited by the patient. A mobility test is also performed on the patient to evaluate the patient's ability to rise from a seated position, and a specific mobility test point value is assigned to the patient based upon the patient's performance of the mobility test. Each intrinsic risk factor's specific point value is then summed together with the specific mobility test point value to achieve a total risk score, and the patient's fall risk is determined based on the total risk score. An intervention process may be developed for the patient based on the patient's fall risk.

Systems and methods for the automatic assessment of a persons fall risk. The systems and methods utilize an objective standard and evaluation of a person's gait and stance, among other factors, to determine such person's current instantaneous likelihood of a fall, as well as such person's future fall risk. The systems and methods utilize machine observations and calculations to reduce or eliminate bias and the use of subjective assessment criteria.

System for fall prevention for a user, comprising a number of sensors (2) attachable to at least one lower body segment (3), wherein said sensors (2) are adapted to measure movement of said at least one lower body segment (3) and to translate the movement into a signal (S), the system further comprising a control (12) adapted to receive the signal (S) from said respective sensors (2), wherein in use the control (12) observes the signal (S) as an actual sequence of postures of said at least one lower body segment (3) and compares the actual sequence with a predetermined sequence of postures as a function of time, (the predetermined sequence relating to a low risk of falling,) wherein the control (12) is adapted to determine a high risk of falling when the actual sequence deviates from the predetermined sequence (to a certain degree). The invention further relates to a method for fall prevention using such a system for fall prevention.

The invention provides a tumbling risk assessment, a monitoring system and an assessment method on the basis of three nine-shaft motion sensors. According to the tumbling risk assessment, the monitoring system and the assessment method, the tumbling state detecting, the tumbling risk detecting and tumbling protecting device control are achieved. The monitoring system comprises an information collecting module, a wireless communication module and a date analyzing module. The three nine-shaft motion sensors are mainly used, two of the nine-shaft motion sensors are placed in two shoes, and another is placed on the wrest; original data of the accelerated speed, the angular speed and the angle are obtained through the three sensors, a Bluetooth module is used for transmitting a data signal, and the signal is transmitted to a data analyzing terminal. The tumbling state is detected by analysis on various data signals through the motion sensors, and the tumbling risk is assessed and fed back to a tester by the combination with the standard of a Tinetti assessing table. The invention further discloses a gait assessment method, according to the method, through various signal types such as the accelerated speed, the angular speed and the angle, modeling is conducted on human bodies, gait characteristics are extracted, and assessment is conducted with Tinetti.

A wireless monitoring / assessment system identifies and records selected basic activities of daily living, loss of balance, and falls of at-risk elderly using a minimum set of sensors. A wearable system collects data over an extended period from sensors mounted under each shoe / slipper inner sole, and three kinetic measurement sensors, one mounted on the subject's chest, and the other two on each thigh. The resulting data can be processed off line to determine if a loss of balance or fall has occurred and identify the basic activity that the subject was performing when it happened. The two inner sole foot pressure sensors provide data on the loading of the plantar aspect of each fore- and rear foot. Each kinematics measurement sensor module provides 3-axis acceleration and angular rate data from the torso and each thigh. All data is sampled at a high rate using an analog to digital converter, time stamped, and then stored in memory.

A system for people with limited mobility or with elevated risk of falling. Embodiments of the invention include internal walls that do not extend to the ceiling, a track system, a joist which is able to move on the track system, a carriage which is able to move on the joist and a harness tethered to the carriage. Other embodiments of the invention include a track system which is able to move on the track system, a carriage able to move on the joist and a harness, which is configured for an ambulatory user, tethered to the carriage. Some embodiments include a system that can automatically trigger an alert notification if the tension on the tether remains high beyond a particular time. In some embodiments, the joist is an open web joist.

An intermittent pneumatic compression system provides exhaust between a wrap and patient's leg, avoids tubes and is operable on a conventional battery. The system allows true portability while improving patient discomfort, reducing fall risks, and providing desired therapeutic and prophylactic compression.

A method and system for detecting a fall risk condition, the system comprising a surveillance camera configured to generate a plurality of frames showing an area in which a patient at risk of falling is being monitored, and a computer system comprising memory and logic circuitry configured to store motion feature patterns that are extracted from video recordings, the motion feature patterns are representative of motion associated with real alarm cases and false-alarm cases of fall events, receive a fall alert from a classifier, determine motion features of one or more frames from the plurality of frames that correspond to the fall alert; compare the motion features of the one or more frames with the motion feature patterns, and determine whether to confirm the fall alert based on the comparison.

A patient fall prediction system from noise corrected surveillance video by identifying patient fall risk states. A hierarchy of discrete patient fall risk states, from no risk, to intermediate risk to critical risk, describe a patient fall risk. The system transitions from state to state based on changes detected in corresponding areas between a current video frame and a background frame. A set of fall risk state transition rules govern the entry into new fall risk states. A video frame is subdivided into multiple predetermined areas, at least two contain images of the patient. The number of false alarms are reduced by accurately defining fall risk state transition rules and by reducing the opportunity for noise to impact the state transition results. Frames that contain new changes are excluded from fall risk state processing, i.e., the first video frame that might cause an erroneous elevated fall risk state is culled.

There is provided a method of determining a fall risk of a user, the method comprising collecting measurements of the motion of the user, estimating a value for a parameter related to the gait of the user from the measurements, and determining a fall risk for the user from a comparison of the estimated value with a normal value for the parameter determined from motion of the user in which the user is at their normal risk of falling.

The invention discloses a system and method for human body gait evaluation. The system comprises an information collecting module, a wireless communication module and a data analysis terminal. The information collecting module measures and processes three-dimensional acceleration signals of the two feet and the waist and sends the processed signals to the data analysis terminal through the wireless communication module; the data analysis terminal analyzes the wireless uploaded signals and shows an evaluation result with the combination of the medical Tinetti evaluation table, and the evaluation result is displayed to a user through a human-computer interaction interface. The invention further discloses a method for human body gait evaluation conducted through the system. According to the system and method for human body gait evaluation, human body gait information can be monitored and analyzed, the evaluation result is obtained, falling-down risks of old people are particularly evaluated in an intelligent mode, the result is provided in real time, the human body gait information is evaluated in an intelligent mode, evaluation of the falling-down risks of the old people is facilitated, the structure is simple, cost is low, and operation is convenient.

Intelligent exercise state detection system, the present invention proposes a method and system for detecting the wearer's exercise state including predicting the risk of falling, detecting falls and calculating the amount of exercise. The method and system include: an acceleration sensor for picking up the movement of the wearer, a gyroscope, a magnetometer, an air pressure sensor group, a WIFI module, a GSM / GPRS / 3G / 4G communication module, a GPS / Beidou positioning module, a power supply module, and control each Modules and microprocessors that process sensor data form wearable smart terminals, servers, computers, and mobile client terminals. Calculate the amount of exercise of the wearer based on the measurement data of the sensor group, predict the risk of the wearer's fall and check the fall event, and transmit the processed result data, event and position information to the mobile terminal or the phone to notify the specific contact through the server. Perform secondary processing, and then achieve a new technology that family members or guardians can better monitor and care for the wearer.

A method and system for detecting a fall risk condition, the system comprising a surveillance camera configured to generate a plurality of frames showing a surveillance viewport of an area including a patient area, and a computer system comprising memory and logic circuitry configured to identify a first set of frames from the plurality of frames, generate motion images for the first set of frames, determine features from the motion images, the features including at least one of a centroid, centroid area, connected components ratio, bed motion percentage, and unconnected motion, train a classifier based on the determined features from the motion images, receive a second set of frames from the plurality of frames, detect a fall risk event associated with the second set of frames using the classifier, and issue a fall alert based on the detection of the fall risk event, the fall alert comprising one or both of a visual indication and an audible indication.

A patient fall prediction system from noise corrected surveillance video by identifying patient fall risk states. A hierarchy of discrete patient fall risk states, from no risk, to intermediate risk to critical risk, describe a patient fall risk. The system transitions from state to state based on changes detected in corresponding areas between a current video frame and a background frame. A set of fall risk state transition rules govern the entry into new fall risk states. A video frame is subdivided into multiple predetermined areas, at least two contain images of the patient. The number of false alarms are reduced by accurately defining fall risk state transition rules and by reducing the opportunity for noise to impact the state transition results. Frames that contain new changes are excluded from fall risk state processing, i.e., the first video frame that might cause an erroneous elevated fall risk state is culled.

The invention discloses a 3D printing-based bionic artificial tooth and a manufacturing method thereof. The 3D printing-based bionic artificial tooth comprises a bionic dentin main body, a bionic enamel layer coating the upper end surface of the bionic dentin main body and a bionic cementum layer coating the bionic dentin main body, the bionic enamel layer is connected to the bionic cementum layer through a transition region, the outer surface of the bionic cementum layer is covered with a microstructure layer, and the microstructure layer comprises porous structures and barb structures staggered or irregularly distributed on the bionic cementum layer. According to bionic characteristics, solids with different gradient strength are molded in different implantation material areas so that stress interference between an implantation material and an alveolar bone is reduced. Through combination with a high freedom degree molding capability of the 3D printing technology, a completely personalized bionic dental implant is directly molded so that wearing comfort is improved. The barb structures and the porous structures are conducive to cell adhesion, growth and fixation, improve a bonding capacity of an implant and an alveolar bone and reduce adverse effects such as a dental implant falling risk after an operation.

A patient monitoring system adapted for use with a bathroom. The system includes a motion detection unit including a motion detection sensor and a first housing. The system also includes an alarm unit having an alarm device and a second housing. Control circuitry operably couples the motion detection sensor with the alarm device. The control circuitry is configured to activate the alarm device when the motion detection sensor detects motion. The system also includes a support structure removably mounted on the bathroom door wherein the support structure is adapted to support the first housing proximate the interior surface of the door and support the second housing proximate the exterior surface of the door. The motion detection sensor is positioned so that when a fall-risk patient begins to rise from the toilet, the alarm device will alert a caregiver outside the bathroom who may then assist the patient.

The present invention relates to a device (1) for determination of a bed fall risk of an individual (2), the device (1) comprising a first port (3) for obtaining sensor data (100) related to movement and / or a vital sign of an individual (2), an evaluation unit (4) for determining quality information indicating the quality of the sensor data (100), a second port (5) for obtaining personal data (120) of the individual (2), a calculation unit (6) for calculation of a total risk score (114) of the individual (2) based on the sensor data (100), the quality information (110) and the personal data (120), said total risk score indicating a bed fall risk of the individual (2), and a third port (7) for output of the calculated total risk score.

The invention discloses a multi-index extensible evaluation method for dangerous rock falling ricks in tunnel and underground engineering. The method comprises the following steps of: 1, establishing a dangerous rock falling risk evaluation index system according to main factors inducing side slope dangerous rock mass collapse; 2, establishing a grading standard for dangerous rock falling risk evaluation and determining a dangerous rock falling risk evaluation grade; 3, quantifying or correcting an evaluation index parameter, namely, normalizing and scalarizing a qualitative index, and describing the qualitative index to a certain extent by using a numerical value form; 4, establishing a classical domain, a joint domain, a to-be-evaluated matter element and an extensible model of a to-be-evaluated dangerous rock matter element; 5, collecting to-be-evaluated dangerous rock data, determining a weight of each risk evaluation index by adoption of a single correlation function method, and calculating a correlation function value of the to-be-evaluated dangerous rock matter element; and 6, evaluating the dangerous rock falling risk, and calculating a grade variable feature value of the to-be-evaluated matter element so as to obtain a collapse rock falling risk grade of a to-be-evaluated dangerous rock at a portal section of a tunnel.

A method and system for determining the fall risk of a patient is provided. The method includes the evaluation of a patient to determine whether the patient exhibits one or more intrinsic fall risk factors selected from a group consisting of confusion, depression, altered elimination, dizziness, male gender, antiepileptic / anticonvulsant prescriptions and benzodiazepine prescriptions. A specific point value is assigned to each of the intrinsic risk factors found to be exhibited by the patient. A mobility test is also performed on the patient to evaluate the patient's ability to rise from a seated position, and a specific mobility test point value is assigned to the patient based upon the patient's performance of the mobility test. Each intrinsic risk factor's specific point value is then summed together with the specific mobility test point value to achieve a total risk score, and the patient's fall risk is determined based on the total risk score. An intervention process may be developed for the patient based on the patient's fall risk.

The invention discloses a bed and chair split type nursing bed with butting mechanisms and an automatic butting method. The bed and chair split type nursing bed comprises a wheelchair portion and a bed portion. The wheelchair portion can be switched over between a flatly spread state and a wheelchair state, and butting guide wheels are arranged on two sides of the wheelchair portion; an open groove for accommodating the wheelchair portion is formed in the middle of the bed portion, and butting guide rails are arranged on two sides of the open groove; the wide distance between the two butting guide rails on the two sides of the open groove becomes narrow and then keeps unchanged in the direction in which the wheelchair portion moves into the open groove. The bed and chair split type nursingbed and the automatic butting method have the advantages that the open groove for accommodating a wheelchair is formed in the middle of the bed portion, the bed and chair split type nursing bed comprises butting portions with the butting guide wheels and the butting guide rails, and accordingly butting operation becomes simple; the bed and chair split type nursing bed is reasonable in structuraldesign, patients are free of falling risks during separating and butting, the wheelchair portion and the bed portion can be automatically butted to each other by vision algorithms by the aid of the automatic butting method, accordingly, the bed and chair split type nursing bed does not need to be operated by medical staffs, medical resources can be saved, and the autonomous action capacity of thepatients can be improved.

The invention relates to an anti-seismic bridge support. The support comprises a first-stage anti-seismic shock-absorbing structure and a second-stage anti-seismic shock-absorbing structure, the first-stage anti-seismic shock-absorbing structure drives baffle rods to move upwards through the rotation of cams, and jacking rods cooperate with baffle blocks at the two sides of the lower portion of across beam to limit the horizontal displacement of the cross beam; the second-stage anti-seismic shock-absorbing structure drives first gears to rotate through the vertical displacement of the jackingrods in the baffle rods and then transmits the rotation to first bevel gears through retractable universal couplings, the first bevel gears are connected with second-stage anti-seismic devices to achieve bevel self-locking of pistons and pressing blocks, and therefore second-stage anti-seismic protection is achieved; meanwhile, through a bridge pier is protected through a linkage mechanism underthe cross beam; the anti-seismic bridge support limits the displacement of the bridge cross beam well, the beam falling risk is avoided, and the structural seismic damage and the structural damage degree are reduced; meanwhile, the anti-seismic bridge support achieves two-stage seismic protection, the anti-seismic capability of a bridge is greatly improved, the buffer protection capability of thebridge pier during an earthquake can also be improved, and the anti-seismic effect is remarkable.

The invention discloses a detecting device and method of unstable motion data. The detecting device comprises an unstable motion simulation platform and a human body motion data detecting device, wherein the unstable motion simulation platform is used for guiding human body motions, so that a human body is in an unstable state, and the human body motion data detecting device is used for measuringand recording motion parameters and gait parameters of the human body on the unstable motion simulation platform. The invention further discloses the detecting method of the unstable motion data, andthe method comprises the steps that the generation of the instability of the human body is guided by adopting the unstable motion simulation platform; the motion parameters and the gait parameters ofthe human body are measured and recorded by using the human body motion data detecting device. By means of the unstable motion data detecting device, the motion state of a participant is detected. Byusing the unstable motion simulation platform, different unstable motion states are generated, the motion parameters of the participant are detected in real time, and a parametric basis is provided for subsequent accurate evaluation of falling risks of the human body.

Disclosed herein is a system that uses an eye tracker for diagnosing and facilitating rehabilitation therapy of a patient suffering from disability. The system creates a human machine interface (HMI) that integrates various low cost biosensors and artificial sensors for conducting rehabilitation therapy. The system combines spinal and supra-spinal feedback of the patient with the operant conditioning to facilitate visuomotor balance therapy (VBT), thereby reducing fall risk in disability survivors. The operant conditioning setup for shaping of visuomotor learning to bring about new behavior or to modify a certain aspect of an existing behavior is used for rehabilitation therapy that includes a behaviour response apparatus, a reward delivery module, a stimulus delivery system, and a behaviour control system. The system can also be extended to the patient's home for providing telerehabilitation therapy.

A method and system for determining the fall risk of a patient is provided. The method includes the evaluation of a patient to determine whether the patient exhibits one or more intrinsic fall risk factors selected from a group consisting of confusion, depression, altered elimination, dizziness, male gender, antiepileptic / anticonvulsant prescriptions and benzodiazepine prescriptions. A specific point value is assigned to each of the intrinsic risk factors found to be exhibited by the patient. A mobility test is also performed on the patient to evaluate the patient's ability to rise from a seated position, and a specific mobility test point value is assigned to the patient based upon the patient's performance of the mobility test. Each intrinsic risk factor's specific point value is then summed together with the specific mobility test point value to achieve a total risk score, and the patient's fall risk is determined based on the total risk score. An intervention process may be developed for the patient based on the patient's fall risk.

Systems and methods for the automatic assessment of a person's fall risk. The systems and methods utilize an objective standard and evaluation of a person's gait and stance, among other factors, to determine such person's current instantaneous likelihood of a fall, as well as such person's future fall risk. The systems and methods utilize machine observations and calculations to reduce or eliminate bias and the use of subjective assessment criteria.

A load cell apparatus for use with a bed includes a housing having a top portion and a bottom portion, and a load cell device held by the bottom portion of the housing. The load cell device is structured to generate a signal having a magnitude that is proportional to a first force being applied to the load cell device. The load cell apparatus also includes a button member held by the housing in a manner wherein the button member is structured to engage the load cell device and apply the first force to the load cell device in response to a second force being applied to the top portion of the housing. Also, various systems for monitoring parameters such as weight, sleep quality, fall risk, and / or pressure sore risk that may incorporate such a load cell apparatus.

There is provided a method of estimating the fall risk of a user, the method comprising analyzing measurements of the acceleration of the user to determine if the user has performed a sit-to-stand transfer; identifying the peak vertical acceleration of the user during the sit-to-stand transfer from the measurements of the acceleration of the user; and estimating a fall risk for the user from the identified peak vertical acceleration.

The invention provides a tower pole icing disaster risk prediction method based on the safety margin. With the method, finite element numerical value simulation and data regression analysis are combined; a finite element method is adopted to build a 1:1 overhead transmission line tower pole coupling model; the main stressed factor of a line under various static conditions is comprehensively considered; simulation calculation is carried out to various operation working conditions of an icing line model; and on the basis, a simulation result is subjected to regression analysis and data fitting by the concept of the safety margin to obtain the safety margin curve of a power transmission tower line system so as to obtain the safety level of the power transmission tower line system. The method disclosed by the invention belongs to the safety evaluation field of the power transmission tower line system, the icing and tower falling risk of the power transmission tower line system can be solved, the safety margin range of the tower line system is given in real time so as to determine the line icing risk level at present, a basis is given for formulating an icing-proof transformation scheme, the formulation principle of the icing-proof transformation scheme is determined, and the operation reliability of the power transmission tower line system is improved.