139 results about "Patient fall" patented technology

A patient fall prediction system receives video image frames from a surveillance camera positioned in a patient's room and analyses the video image frames for movement that may be a precursor to a patient fall. In set up phase, the viewpoint of the camera is directed at a risk area associated with patient falls, beds, chairs, wheelchairs, etc. A risk area is defined graphically in the viewport. The patient fall prediction system generates a plurality of concurrent motion detection zones that are situated proximate to the graphic markings of the risk areas. These motion detection zones are monitored for changes between video image frames that indicate a movement. The pattern of detections is recorded and compared to a fall movement detection signature. One fall movement detection signature is a sequential detection order from the motion detection zone closest to the risk area in the frames associated with patient falls, to the motion detection zone farthest away from the risk area. The patient fall prediction system continually monitors the motion detection zones for changes between image frames and compiles detections lists that are compared to known movement detection signatures, such as a fall movement detection signature. Once a match is identified, the patient fall prediction system issues a fall warning to a healthcare provider.

An attitude indicator device for detecting, indicating, and/or logging the positional attitude of an individual in response to deviation from a set of one or more reference angles. By way of example and not of limitation, the device is mounted on the thigh of a patient and measurements are taken from an acceleration sensor within the device. The acceleration measurements are communicated to a receiver when the measurements deviate from acceptable thresholds, whereby the receiver indicates an alert condition. The device may be employed within numerous medical related applications, for example, to facilitate preventing patient egress and the prevention/detection of patient falls.

The disclosed invention is a patient monitoring system that employs a pressure sensitive pad. The pad is placed beneath a patient who is lying in bed or sitting in a chair. When weight is removed from the pad, an alarm is given. The pad comprises an upper layer of circuitry and a lower layer of circuitry. When the respective layers of circuitry are in contact, the alarm remains off, but when the layers of circuitry become separated, the alarm is given. This invention is generally for use in hospitals and nursing homes to alert caregivers when a patient falls out of a bed or a wheelchair; or if a patient otherwise leaves a bed or chair against the wishes of the caregiver. This situation is of special concern with elderly patients, post operational patients, and/or at night when nursing staffs are reduced.

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 provides a physiological information acquiring and processing system. The system comprises a sensor system, a transmission line, a signal processing circuit and a computer host, wherein the sensor system is used for detecting pressure measurement signals in sleep of a patient without contact; the signal processing circuit is used for separating the measured signals into various independent physiological signals; the computer host is used for extracting useful information and integrating the information into physiological case state change information so as to analyze sleep indexes and evaluate the sleep level. Through the physiological information acquiring and processing system, automatic detection is performed when the patient falls asleep, data are automatically transmitted when the patient gets off the bed, and no disturbance is caused to life of the monitored person. An alarm can be given in time for abnormality in sleep. Physiological information in sleep is detected in real time for scientific analysis, and the analysis result is displayed.

The invention belongs to the technical field of medical equipment and particularly relates to a rehabilitation training instrument.According to the technical scheme, a human body lower limb motion rehabilitation training robot comprises a movable chassis (4), a U-shaped frame and a control box (7).A patient is protected in a safety area of the rehabilitation training robot through an upper-layer armrest frame, a middle-layer connecting frame and a lower-layer supporting frame, the motion direction and speed of the robot are changed by adjusting the direction and amplitude of a manual push rocking bar, the action information of the patient is acquired through two tension sensors acting on the lumbar part, and then the actions of the robot are adjusted through a master control panel in a control box to prevent the patient from falling to the ground under the over-speed or emergency situation.Downward movement of the center of gravity of the rehabilitation training robot is achieved by arranging a power supply, an electric motor driver and other devices having heavy weights in the movable chassis of the rehabilitation training robot, and it is ensured that the rehabilitation training robot does not fall down when the patient falls down in any direction.

The invention provides a smart medicine box system which comprises a medicine box and a server and a wearable device which are in network connection with the medicine box. A processing unit is loaded on the medicine box and is used for detecting whether life parameters of a patient fall into optimum time selected by default warning threshold for the patient to take the medicine or not and further used for determining whether the medicine is effective or not according to medicine taking records and the body parameters of the patient in medicine taking time period and determining whether the medicine is taken in an original way or not according to effectiveness of the medicine; the server is used for acquiring the medicine taking records and the body parameters of the patient in the medicine taking period and keeping the medicine taking records and the body parameters of the patient in medicine taking period according to a medical archival of the patient; the wearable device is used for acquiring the body parameters of the patient. By the arrangement, the optimum medicine taking time for the patient can be determined according to the body parameters, and whether the medicine is effective to condition of the patient or not can be judged according to the medicine taking records and the body parameters of the medicine taking period; if the medicine taken by the patient has no effect to the condition of the patient, the patient is prompted to go to the hospital for diagnosis, and disease recovery efficiency is improved.

The invention provides a method for treating sleep disorder by regulating central nerves. The method comprises the following steps: (1) acquiring a great deal of brain wave signals of healthy people with different physiques in a sleep state by a brain wave signal acquisition module and a body surface electrode, coding the signals, and establishing a database; (2) calling out the codes of modulated signals, and stimulating the sleep control center by a stimulating signal output module and a stimulating electrode; and (3) when the modulated signals stimulate the sleep control center, acquiring the brain wave signals of a patient and monitoring the body sleep of the patient synchronously, sending the acquired signals and monitored signals to a computer control center, regulating the codes of the modulated signals of the brain waves according to a sleep decision algorithm by the computer control center, and regulating the central nerves of the patient so as to help the patient treat the sleep disorder. By using the method for treating the sleep disorder by regulating the central nerves, stimulating current is effectively loaded to the mastoid according to the acquired signal result so as to relieve pressure, ease emotion and help the patient fall asleep.

The invention discloses an electric wheelchair capable of detecting falling down of a patient and achieving automatic alarming and positioning. The electric wheelchair comprises a control panel and pushing handles, an armrest is arranged on the lower left portion of one pushing handle, the control panel is installed on the upper surface of the armrest, the portion, close to the lower left portion of the pushing handle, of the lower portion of the armrest is provided with a wheel cushion, an ultrasonic distance sensor is arranged on the left side of the lower surface of the wheel cushion, and a GPS positioner is arranged under the portion, close to the wheel cushion, of the right side of the ultrasonic distance sensor. According to the electric wheelchair, the structure is scientific and reasonable, use is safe and convenient, the ultrasonic distance sensor is arranged under the cushion of the electric wheelchair and can monitor the distance between the cushion and the ground in real time, it is judged that the patient falls down when the distance is extremely small, an alarm transmitter reminds families or medical personnel to help the patient in time, and by means of the installed GPS positioner, finding is more convenient, and the condition that the patient cannot be found due to the fact that the patient is located at an out-of-way place is avoided.

The invention discloses an old-age care intelligent alarm system based on a human body fall detection technology. The system comprises a GPS positioning module, a body motion state data acquisition module, a life sign acquisition module, a central processor, a voice alarm module, a database, a data packing uploading module and a monitoring terminal. According to the invention, real-time acquisition and evaluation of user ECG data and body temperature are realized, then real-time data transmission is realized through a Beidou module, and while the equipment cost is decreased, the monitoring scope is enlarged; and at the same time, through arrangement of the voice alarm module, the phenomenon of whether to off a favor or not is greatly avoided, all the data is traceable, at the same time, through design of a motion state detection module, after it is discovered that a patient falls yet nobody offers help or the patient cannot get up by himself, medical care personnel or family members can be timely dispatched according to positioning information, the system has a multiple call function itself, and the patient can obtain timely help.

The invention discloses an old and weak patient exercise walking device for a rehabilitation nursing department. The old and weak patient exercise walking device comprises a right support and a left support which are fixedly connected through a cross rod, universal wheels are fixedly arranged at the lower ends of the right support and the left support, a front end supporting frame is fixedly arranged at the front ends of the right support and the left support in an inclined mode, a front end rubber block is fixedly arranged at the bottom of the front end supporting frame, first sleeves are fixedly arranged inside the right support and the left support, internal supports are mounted inside the first sleeves in a matched manner, and a seat board is fixedly mounted at the upper ends of the internal supports. The old and weak patient exercise walking device for the rehabilitation nursing department is provided with the liftable seat board, a bottom rubber block is arranged at the bottom ofan internal supporting frame, the front end rubber block is arranged at the bottom of the front end supporting frame, so that the device can be timely stopped from moving when a patient falls over, and secondary harm is avoided.

The invention discloses a nursing device for vascular surgery. The nursing device comprises a bed frame, and a baffle is fixedly arranged at the left end of the upper surface of the bed frame; a bed board is fixedly installed on the upper surface of the bed frame, and telescopic supporting legs are arranged on the lower surface of the bed frame; the left sides of the front and rear side faces of the bed frame are both provided with an anti-falling mechanism, the right sides of the front and rear side faces of the bed frame are both provided with a leg placing part, and sliding grooves are formed in the right sides of the front and rear side faces of the bed frame respectively. The height of the bed frame can be adjusted so that the device can better adapt to different patients for use, andthe legs of each patient can be lifted. Besides, medical staff conveniently adjust the horizontal positions and heights of the leg placing parts according to lower limb conditions of the patients, lower limb varicosities and lower limb phlebothrombosis can be effectively prevented, the accident that the patients fall off a bed when turning over can be avoided, and the nursing device especially has a good protection function on elderly patients also suffering from other diseases such as diabetes.