There is provided an information processing device including a display section configured to display a first object in a virtual three-dimensional space having a depth direction of a display screen, an operation section configured to acquire an operation for moving the first object in at least the depth direction, and a controller configured to move the first object on the display screen in accordance with the acquired operation, to execute, when a region of the first object overlaps a first overlap determination region, a first process to one or both of the first and second objects, and to execute, when the region of the first object overlaps a second overlap determination region, a second process to one or both of the first and second objects. The first overlap determination region may be a region obtained by extending the second overlap determination region in at least the depth direction.

Information processing device, information processing method, and program

Systems for machine-based rehabilitation of movement disorders including gait therapy applications can apply controlled forces to the pelvis and/or other body parts including knee and ankle joints. Cable-driven systems for gait therapy applications can apply controlled forces to, in respective embodiments, the pelvis and the pelvis, knee and ankle joints. In further embodiments, systems for gait therapy can be treadmill-based or walker-based. In embodiments, a controlled downforce is applied to the hip with augmentation including supportive forces. In further embodiments, the technology is activated through cables that provide support and limb-flexing moments with low inertia and friction resistance. In further embodiments, assistance is configured for gait therapy in children. In still further embodiments, methods of rehabilitation and assist-as-needed (AAN) control of the gait therapy systems facilitate a patient's ability to coordinate movement, control balance, achieve strength, and other beneficial outcomes.

Human movement research, therapeutic, and diagnostic devices, methods, and systems

The invention discloses an intelligent anaesthesia system. The intelligent anaesthesia system comprises an intelligent control end, a vital sign detecting end, an anesthetic injecting end, an indoor environment monitoring end, an electronic medical information end, a breathing machine and a monitoring display screen, wherein the vital sign detecting end, the anesthetic injecting end, the indoor environment monitoring end, the electronic medical information end, the breathing machine and the monitoring display screen are connected with the intelligent control end; the vital sign detecting end comprises a brain wave scanner, an artery systolic pressure measuring equipment, body temperature detection equipment, pulse detection equipment, muscle tension detection equipment and pain sense detection equipment; the electronic medical information end comprises a data acquiring module, an information input module, a data decoding module, a wireless data transmitting module, an outpatient service receiving end module, a leaving information module and a central server. In the intelligent anaesthesia system disclosed by the invention, the intelligent control end is used for receiving the information from the vital sign detecting end, the indoor environment monitoring end, the electronic medical information end and the breathing machine and controlling the anesthetic injecting end to perform quantitative dosing so as to feed back the physical condition of a patient in real time, reduce occurrence of medical accidents and alleviating the workload of an anesthetist.

Intelligent anaesthesia system

The invention provides a lower limb rehabilitation training device, which comprises an armrest, an armrest support frame, a control device, a back strap device, a lower limb auxiliary moving mechanism, a hip joint position regulating device, a caterpillar mechanism and a machine frame, wherein the lower limb auxiliary moving mechanism of the lower limb rehabilitation training device is driven by an air cylinder, the double-lower-limb alternate stepping movement can be carried out under instructions of the control device, and different rhythms can be realized through changing parameters, so that the lower limb rehabilitation training device adapts to different user groups. The lower limb rehabilitation training device has the advantages that the structure is simple, the use is convenient, the rehabilitation training on patients is scientific and effective, in addition, the application user group range is wide, the lower limb rehabilitation training can be independently completed by the patients, and the unnecessary labor resource waste can be reduced.

Lower limb rehabilitation training device

The invention provides a wearable lower limb rehabilitation training device which comprises a base, a column, a waist bracket, knee-joint motion control units and hip joint motion control units, wherein the column is installed on the base, the waist bracket is installed at the top of the column and is provided with two protective frames, each protective frame is provided with the hip joint motion control unit and the knee-joint motion control unit, each hip joint motion control unit comprises a hip joint motor, a thigh rod, a thigh connecting rod, a thigh driving rod and a thigh layer board, and each knee-joint motion control unit comprises a knee-joint motor, a shank rod, a shank connecting rod, a shank driving rod and a pedal. The upper end of the shank rod is connected with the thigh rod through a thigh joint shaft. The device can realize lower limb rehabilitation training of patients or the old, improve a training effect, and further improve the comfort level of a user. Meanwhile, the device can be suitable for crowds in different body types by adopting a leg length, height and width adjusting mechanism.

Wearable lower limb rehabilitation training device

Gait rehabilitation training robot

Muscle tension sensor and muscle tension detecting method

The utility model discloses a muscle tension sensor which is characterized in that a columnar shell is formed by a box body and a bottom end cover; a pressure sensor is attached to a top plate of the box body in the columnar shell; the top end face of a T-shaped probe is abutted against the bottom end face of the pressure sensor; a convex column on the T-shaped probe runs through a center through hole of the bottom end cover and protrudes out of the columnar shell; a piezoelectric membrane resistance serving as a pressure-sensitive device outside the columnar shell is attached to the top plate of the box body; the bottom end face of a convex column of a T-shaped top cover above the box body is abutted against the piezoelectric membrane resistance; above the top cover, a clamp plate is formed by a pressure plate and the top cover; and a binding band is clamped and fixed in the clamp plate formed by the pressure plate and the top cover. Due to the adoption of the muscle tension sensor, a muscle tension parameter can be stably obtained so as to carry out evaluation on the muscle recovery state of a human body who is subjected to rehabilitation therapy.

Muscle tension sensor

T wave alternans (TWA) detection and its corresponding time alignment algorithm are often confined by the phase fluctuation caused by heart rate variability (HRV). A pseudo synchronization resampling (PSR) method was presented to enhance the TWA detection in ECG data contaminated by HRV. Two important steps, instantaneous heart rate (IHR) estimation and ECG data resampling, were designed to build the PSR method which filtered the stretch effect of HRV. Synthesized data and real ECG data were provided to test the PSR method, and the number of invalid beats in alignment was used as test standard. The invalid beats in synthesized data vanished after PSR only with the simple absolute IHR estimation, and those in real ECG data reduced from 59.3% to 31.3% if the PSR with relative IHR was used. The results proved that the PSR operation could significantly improve the beats alignment and enhance T wave alternans detection.

Kui Xiang

Papers

Gait rehabilitation training robot

Muscle tension sensor and muscle tension detecting method

Muscle tension sensor

Pseudo synchronization resampling to enhance T wave alternans detection