This patent describes an 8+2 degrees of freedom (DOF) intelligent rehabilitation robot capable of controlling the shoulder, elbow, wrist and fingers individually and allowing functional arm movements with accompanying trunk and scapular motions. The rehabilitation robot uses the following integrated
This patent describes an 8+2 degrees of freedom (DOF) intelligent rehabilitation robot capable of controlling the shoulder, elbow, wrist and fingers individually and allowing functional arm movements with accompanying trunk and scapular motions. The rehabilitation robot uses the following integrated rehabilitation approach: 1) it has unique diagnostic capabilities to determine patient-specific multiple joint and/or multiple DOF biomechanical and neuromuscular changes; 2) it stretches the stiff joints/DOFs under intelligent control to loosen up the specific stiff joints and to reduce excessive cross-coupling torques/movements between the specific joints/DOFs, which can be done based on the above diagnosis for subject-specific treatment; 3) the patients practice voluntary reaching and some functional tasks to regain/improve their motor control capability, which can be done after the stretching loosened up the stiff joints; and 4) the outcome will be evaluated quantitatively at the levels of individual joints, multiple joints/DOFs, and the whole arm.
대표청구항▼
1. A human interface machine comprising: an arm brace having a temporary attachment element adapted to temporarily attach a human arm; the arm brace disposed to move with the human arm while attached and jointed such that an arm joint can move through a first degree of freedom and at least one other
1. A human interface machine comprising: an arm brace having a temporary attachment element adapted to temporarily attach a human arm; the arm brace disposed to move with the human arm while attached and jointed such that an arm joint can move through a first degree of freedom and at least one other degree of freedom;a scapular elevation apparatus that includes a shoulder platform;a shoulder joint pivotally coupled to the scapular elevation apparatus that includes a shoulder force/torque sensor, and a shoulder abduction motor, the shoulder force/torque sensor positioned to measure six degrees of freedom;an upper arm length adjustment affixed to the shoulder joint;an elbow joint affixed to the upper arm length adjustment including an elbow motor and an elbow force/torque sensor;a forearm length adjustment affixed to the elbow joint;a wrist and hand part affixed to the forearm length adjustment including a supination/pronation motor, a wrist flexion/extension motor, a wrist force/torque sensor, a hand opening/closing motor, and a metacarpophalangeal joint torque sensor;the plurality of sensors in operative communication with the arm brace such that at least one sensor senses a first force when an arm joint is driven in a first degree of freedom and such that the same sensor senses a second force when the arm joint is driven in a second degree of freedom; anda processor in operative communication with the plurality of sensors and the plurality of motors, the processor configured to calculate a coupling relationship between a movement in the first degree of freedom and the second force sensed in the second degree of freedom, the processor further configured to drive the arm joint through a first degree of motion. 2. The machine of claim 1, wherein the first force includes a torque component; and the second force includes a torque component. 3. The machine of claim 2, wherein the coupling relationship is between the torque component of the first force and the torque component of the second force. 4. The machine of claim 3, wherein the torque components are, individually, selected from the group consisting of inertial, viscous, elastic, Coriolis and centripetal components. 5. The machine of claim 3, wherein a peak coupling torque is calculated. 6. The machine of claim 1, wherein said human interface machine is a rehabilitation robot. 7. The machine of claim 1, wherein the plurality of motors are disposed to drive the arm brace through said first degree of freedom and through the second degree of freedom. 8. The machine of claim 7, wherein said human interface machine is further configured to move in said degrees of freedom in either an active mode or a passive mode. 9. The machine of claim 7 wherein said processor is configured to set a range of motion limit, said range of motion limit being a maximum torque for said first degree of freedom. 10. The machine of claim 7, wherein the coupling relationship sums said torque components. 11. The machine of claim 7, wherein said processor is configured to control a speed of a motion through a said first degree of freedom according to said coupling relationship. 12. The machine of claim 1, wherein the coupling relationship is an Euler formulation. 13. The machine of claim 12, wherein the coupling relationship assigns to off diagonal elements a cross-coupling stiffness between the arm joints and assigns a diagonal element and elastic stiffness local to an individual arm joint. 14. The machine in claim 1, wherein the processor is configured to calculate the coupling relationship according to the following formula: [I11I12I13I21I22I23I31I32I33][Δϕ¨1(t)Δϕ¨2(t)Δϕ¨3(t)]+[B11B12B13B21B22B23B31B32B33][Δϕ.1(t)Δϕ.2(t)Δϕ.3(t)]+ [K11K12K13K21K22K23K31K23K33][Δϕ1(t)Δϕ2(t)Δϕ3(t)]+[C11C12C13C14C15C16C21C22C23C24C25C26C31C32C33C34C35C36][Δϕ.12(t)Δϕ.22(t)Δϕ.32(t)Δϕ.1(t)Δϕ.2(t)Δϕ.1(t)Δϕ.3(t)Δϕ.2(t)Δϕ.3(t)]T=[ΔT1(t)ΔT2(t)ΔT3(t)]+[ξ1(t)ξ2(t)ξ3(t)](2)where ΔT1(t), ΔT2(t) and ΔT3(t) are measured shoulder, elbow and wrist torque perturbations respectively, Δφ1(t), Δφ2(t) and Δφ3(t) are angular perturbations of the shoulder, elbow and wrist, respectively, ξ1(t), ξ2(t), and ξ3(t) are modeling errors, matrices [Iij], [Bij] and [Kij] represent the inertial, viscous and elastic properties, respectively, and the left and right halves of [Cij] describe the nonlinear centripetal and Coriolis effects, respectively. 15. The machine of claim 14, wherein the processor is configured to calculate the coupling relationship according to an equation selected from the group consisting of: I11Δ{umlaut over (φ)}1(t)+B11Δ{dot over (φ)}1(t)+K11Δφ1(t)=ΔT11(t),I21Δ{umlaut over (φ)}1(t)+B21Δ{dot over (φ)}1(t)+K21Δφ1(t)+C21Δ{dot over (φ)}12(t)=ΔT21(t), andI31Δ{umlaut over (φ)}1(t)+B31Δ{dot over (φ)}1(t)+K31Δφ1(t)+C31Δ{dot over (φ)}12(t)=ΔT31(t)where I is joint inertia, B is joint viscosity and K is joint stiffness. 16. The machine of claim 14, wherein the processor is configured to calculate the coupling relationship according to an equation selected from the group consisting of: I12Δ{umlaut over (φ)}2(t)+B12Δ{dot over (φ)}2(t)+K12Δφ2(t)+C12Δ{dot over (φ)}22(t)=ΔT12(t),I22Δ{umlaut over (ψ)}2(t)+B22Δ{dot over (ψ)}2(t)+K22Δψ2(t)=ΔT22(t), andI32Δ{umlaut over (φ)}2(t)+B32Δ{dot over (φ)}2(t)+K32Δφ2(t)+C32Δ{dot over (φ)}22(t)=ΔT32(t),where I is joint inertia, B is joint viscosity and K is joint stiffness. 17. The machine of claim 1, wherein the processor is configured to control one of the plurality of motors to execute passive stretching done at matched low terminal torques and/or to slow velocity. 18. The machine of claim 1, wherein the processor is configured to move a joint to a first range of motion limit in a first degree of freedom and then hold that position until a second range of motion limit is reached in motion along a second degree of freedom. 19. The machine of claim 1, wherein the processor is configured to move one of the plurality of motors at higher velocity through a central portion of a range of motion and at a slower velocity in a portion of said range of motion adjacent to a range of motion limit. 20. The machine of claim 1, wherein the plurality of sensors are configured to simultaneously measure said forces. 21. The machine of claim 1 wherein said machine is used to treat patients according to steps comprising: executing a multi-joint/multi degree of freedom diagnosis;executing a passive stretching treatment;executing a voluntary movement training; andevaluating an outcome using said machine of claim 1.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (2)
Reinkensmeyer,David J.; Harkema,Susan J.; Edgerton,V. Reggie; Bobrow,James; Wang,Chia Yu, Robotic gait rehabilitation by optimal motion of the hip.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.