Rehabilitation system
The present invention relates to a rehabilitation system for rehabilitating a person with a neurological condition, such as a spinal cord injury (SCI). The system includes exercise equipment for enabling the person to exercise. One or more sensors are provided for sensing information from the person during exercise. The system also includes a model of the exercising person configured to receive the sensed information from the sensors and generate electrical stimulation for the person. Advantageously, the personalized computer model may be used to generate suitable electrical stimulation for the person, and avoid excessive stresses on the person which can lead to the fracturing of bones.
1. A rehabilitation system for lower limb rehabilitation of a person with a neurological condition, the system including:
exercise equipment for enabling the person to exercise using at least one lower limb;
a human machine interface including one or more body sensors for sensing information from the person during exercise;
one or more equipment sensors for sensing information of the exercise equipment; and
a personalized computer model which is a neuromusculoskeletal model including a digital twin of the person exercising using the exercise equipment, wherein the personalized computer model is configured to;
receive the sensed information from the one or more body sensors and from the one or more equipment sensors,
generate electrical stimulation and actuation assistance for the person exercising with the exercise equipment using the at least one lower limb, and
generate somatosensory data to be provided to the person through extended reality.
2. The rehabilitation system as claimed in claim 1 , wherein the personalized computer model generates suitable electrical stimulation while avoiding-avoids excessive stresses on the person-which can lead to fracturing of bones.
3. The rehabilitation system as claimed in claim 1 , wherein the one or more body sensors include biomechanical and/or physiological biosensors.
4. The rehabilitation system as claimed in claim 1 , wherein the sensed information relates to one or more of electromyography, inertial measurement units, heart rate, electrocardiogram, and respiration.
5. The rehabilitation system as claimed in claim 1 , wherein the one or more equipment sensors include speed or torque sensors.
6. The rehabilitation system as claimed in claim 1 , wherein the somatosensory data is further provided via visual, auditory and/or haptic feedback.
7. The rehabilitation system as claimed in claim 1 , wherein the personalized computer model is configured to receive the person's intention of movement data from a brain-computer interface.
8. The rehabilitation system as claimed in claim 7 , wherein the human machine interface provides somatosensory feedback enabled by extended reality feedback, wherein the extended reality feedback includes a virtual or augmented reality headset with visual, auditory and/or tactile feedback.
9. The rehabilitation system as claimed in claim 1 , wherein the one or more body sensors include wearable sensors configured to be worn by the person.
10. The rehabilitation system as claimed in claim 1 , wherein the exercise equipment includes a recumbent ergometer.
11. The rehabilitation system as claimed in claim 1 , further including an actuator for actuating the exercise equipment.
12. The rehabilitation system as claimed in claim 11 , wherein the actuator includes a motor.
13. The rehabilitation system as claimed in claim 12 , wherein the extended reality feedback includes virtual reality, tactile via haptic feedback, or auditory by ear phones.
14. A rehabilitation system for lower limb rehabilitation of a person with a neurological condition, the system including:
exercise equipment for enabling the person to exercise using at least one lower limb;
a human machine interface with one or more body sensors for sensing information from the person during exercise, the human machine interface being configured to provide somatosensory feedback enabled by extended reality feedback;
one or more equipment sensors for sensing information of the exercise equipment; and
a personalized computer model which is a neuromusculoskeletal model including a digital twin of the person exercising using the exercise equipment, wherein the personalized computer model is configured to:
receive the sensed information from the one or more body sensors and from the one or more equipment sensors,
generate electrical stimulation and actuation assistance, assisted by actuators, for the person exercising with the exercise equipment using the at least one lower limb, and
synthesize and generate somatosensory data to be provided to the person through the extended reality feedback.
15. A rehabilitation method for lower limb rehabilitation of a person with a neurological condition, the method including:
exercising the person with exercise equipment using at least one lower limb;
sensing information from the person exercising using one or more body sensors of a human machine interface;
sensing information of the exercise equipment using one or more equipment sensors; and
providing a personalized computer model which is a neuromusculoskeletal model including a digital twin of the person exercising using the exercise equipment, wherein the personalized computer model is configured to:
receive the sensed information from the exercising person and of the exercise equipment,
generate electrical stimulation and actuation assistance for the person exercising with the exercise equipment using the at least one lower limb, and
generate somatosensory data for provision to the person through extended reality.
16. The rehabilitation method as claimed in claim 15 , wherein the personalized computer model generates suitable electrical stimulation while avoiding excessive stresses on the person which can lead to fracturing of bones.
17. The rehabilitation method as claimed in claim 15 , wherein the sensing information from the exercising person includes one or more of somatosensory, visual feedback, tactile and auditory sensing.
18. The rehabilitation method as claimed in claim 15 , further including actuating the exercise equipment.