39 results about "Activity daily" patented technology

A medical device and method for combination lung ventilation and mucus clearance of a patient is disclosed. The medical device may be configured to provide lung ventilation with intermittent, on-demand mucus clearance, freeing the patient's mouth for activities of daily living such as when the patient is awake; and, in another configuration, the device can provide lung ventilation with automated mucus clearance, such as when the patient is sedated or asleep. The medical device may comprise a pressure generation source, a ventilation portion, and a mucus clearance portion. The mucus clearance portion may be separable from or separate from the ventilation portion such that the medical device is capable of maintaining lung ventilation with the mouth interface removed from the patient.

There are provided a hand-held device for detecting activities of daily living, and a system for detecting activities of daily living using the same. The hand-held device comprises a behavior information detector unit detecting physical activity information from user's movements; an article use information detector unit detecting article use information on whether the user uses the article from a sensor module attached to the article; a controller unit generating information on activities of daily living of the user from the physical activity information and the article use information; and a memory unit storing the information on the activities of daily living of the user.

A Modular Upper Extremity Support System (MUESS) improves hand function by optimizing the balance of flexion and extension at the wrist and stabilizing thumb abduction. This is accomplished through a basic support unit of a forearm cuff, a wrist extensor strap, and a web spacer strap. Various components and inserts can be attached to the basic support unit. The MUESS has several interchangeable components, inserts, and attachments, which allow the hand therapist and other caregivers to make adjustments to the orthotic in real time to support various hand functions that are critical to activities of daily living such as grasping.

This invention relates generally to a method and an apparatus for remote health monitoring of activity of daily living of patients with Type-2 Diabetes. In particular, it relates to a method of capturing vital signs data (Blood-Glucose values, weight) from medical devices, a variety of ambient sensors (on/off sensors, motion sensors, pressure-pad sensors), a body-wearable sensor (arm-band with accelerometer, stress and sleep measurements), and food/diet information uploaded via a web-based interface, then storing all the data in real-time on a secured server, and then processing it to generate short text-messages delivered via cell-phones, iPads or other ambient displays. These messages are designed to be persuasive in nature to alter human behavior. The system can also generate from the data health newsletter that is customized for the patient to educate, inform and empower the patient.

The present invention provides an orthotic appliance for the carpus of a human hand for the treatment of carpal tunnel syndrome using co-dynamic, rather than traditional static or dynamic, techniques. The appliance may apply a 2 pound dorsally directed force about the region of the pisiform bone in the neutral carpal position of a human hand upon co-contraction of the hand and up to 8 pounds dorsally directed during arc of motion in carpal flexion, as the wrist and hand is encouraged to actively move in all planes of motion without negatively affecting the normal activities of daily living. The appliance may comprise a biasing structure for applying the dorsally directed force and a base structure for maintaining the biasing structure in its proper configuration during normal hand motion.

The invention relates to a hand exoskeleton device having a modular nature. The device is designed to be wearable, portable and light in weight, and comprises from one to ten modules each having an actuating mechanism such as a linear actuator coupled with an artificial tendon having a flexible cable or shaft encased into a sheath and an elastic, stretchable portion on its distal end. The exoskeleton allows controlling flexion-extension of the fingers, while keeping natural somatosensorial interactions with the environment surrounding the users. The device is useful to e.g. assist and restore hand functions of users with motor disabilities both during activities of daily living and in neurorehabilitative scenarios, as well in other scenarios such as virtual reality.

The present invention provides a fall sensing system. After motion sensing is performed through a sensing unit, an obtained sensing signal is stored in a storage unit. Then a correcting unit performscorrection on the sensing signal in a physiological signal normalization method and the motion signal normalization method. A motion recognition unit generates motion differentiating data according tothe corrected sensing signal for differentiating different motions. Finally an identification unit determines whether the motion of a user exceeds a falling determining threshold, thereby determininga falling motion. When the motion exceeds the falling determining threshold and the falling motion is determined, the identification unit immediately outputs a signal to a protecting assembly and analarming assembly or one in the protecting assembly and the alarming assembly, thereby immediately performing functions of alarming and protecting when the falling motion of the user occurs.

A system for determining a psychiatric status of a person is described, the system including an activity module that outputs first data indicative of the person's activities of daily living, a social module that outputs second data indicative of the person's social functioning in a work-like setting, a persistence module that outputs third data indicative of the person's concentration persistence, a stress module that outputs fourth data indicative of the person's ability to tolerate stress, and a processing module that outputs fifth data indicative of a psychiatric disability determination based on outputs from said activity module, said social module, said persistence module, and said stress module. In certain embodiments, at least one of the activity module, the social module, the persistence module, and the stress module comprises computer executable instructions. The system may also feature a user interface configured to display the psychiatric disability determination.

The invention discloses a method for predicting a crowd aggregation trend based on an ARMA algorithm. In order to search for a more effective implementation scheme for crowd aggregation trend prediction, the method comprises the following steps: obtaining current day activity information of a to-be-predicted day of a preset place and daily aggregated person values and daily activity information within p days before the to-be-predicted day; obtaining a predicted aggregated person value of the to-be-predicted day based on the current day activity information, the daily aggregated person value within p days and the daily activity information; obtaining a daily aggregated person value in r days before the to-be-predicted day, determining whether the predicted aggregated person value is abnormal or not based on the daily aggregated person value in r days and the predicted aggregated person value, and if yes, displaying that the predicted aggregated person value is abnormal. According to themethod, the long-time multi-dimensional attention crowd place aggregation data is adopted, the ARMA algorithm is used for extracting the potential correlation between the event which cannot be judgedmanually and the time, and the defect of experience judgment on the attention crowd aggregation degree in traditional work is overcome.

The invention belongs to the field of digital treatment, and specifically relates to a data processing method for assisting in disease diagnosis based on daily necessities and a diagnostic device. Thus, early screening and auxiliary diagnosis can be performed on nervous system diseases such as motor dysfunction by utilizing auxiliary sensors added on daily necessities. The purpose of the inventionis to, for the nervous system diseases such as the motor dysfunction, utilize the daily necessities used for daily meals to effectively and quantitatively evaluate hand movement functions by adding the auxiliary sensors to implicitly collect and analyze user behavior data. User data signals are collected by a motion sensor; the relevant characteristics of diseases are extracted, and a user data model is established by combining machine learning algorithms; and therefore, the performance of the hand movement functions of users in activities of daily living can be scored, and foundations can beestablished for the early screening and auxiliary diagnosis of the diseases.

The present invention provides an orthotic appliance for the carpus of a human hand for the treatment of a carpal tunnel syndrome condition using co-dynamic, rather than traditional static or dynamic, techniques. The appliance may apply a dorsally-directed force to the region of the pisiform bone (23) in the neutral carpal position of a human hand upon co-contraction of the hand and up to 8 pounds dorsally-directed during arc of motion in carpal flexion, as the wrist and hand is encouraged to actively move in all planes of motion without restricting arc of motion or negatively affecting the normal activities of daily living. The appliance may comprise a biasing structure for applying the dorsally-directed force and a base structure for maintaining the biasing structure in its proper configuration during normal hand motion.

The invention provides a class of dopamine transporter inhibitors of formula (I) (DAT inhibitors), packaged pharmaceuticals comprising such inhibitors, and their uses in treating, or manufacturing medicaments for treating disease conditions including Parkinson's disease, when assessed by one or more of Hoehn and Yahr Staging of Parkinson's Disease, Unified Parkinson Disease Rating Scale (UPDRS), and Schwab and England Activities of Daily Living Scale. Related business methods such as marketing the inhibitors to healthcare providers are also provided.

An occupational therapy support device according to the present disclosure includes an input data reception unit, an estimation unit, and an estimated data output unit. The input data reception unit receives the input of input data including sleep data of the subject of occupational therapy evaluation and the basic data of the subject. The estimation unit inputs the received input data to a trained artificial intelligence to cause the artificial intelligence to estimate the activity of daily living data of the subject and the physical function data of the subject. The estimated data output unit outputs the data estimated by the artificial intelligence. The sleep data includes the number of turns, the number of body movements, the number of times of going to the bathroom, and the time in the bathroom. The basic data includes the age, height, weight, and medical history. The activity of daily living data includes eating, going to the bathroom, defecation, transfer to the bathroom, locomotion/walk, comprehension, problem solving, and memory. The physical function data includes the grip strength. This configuration enables a user to obtain objective data that does not depend on the evaluator and is useful for performing occupational therapy.