Bedside Rehab Device for Upper & Lower Limb Active Passive Training Cpm Device

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Product Description

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Basic Information

Model NO.SL4I
TheoryMotion Relearning
CertificationISO13485
LCD DisplayWith LCD Display
ApplicationHospital, Rehab Centers
ModesActive, Passive, Assisted, Resistance
Training Duration1-120min
Torque1-10nm
Resistance0-20nm
VoltageAC220V/50Hz
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Product Introduction

Active Passive Training Bike SL4I

The Active and Passive Exercise Assessment Training Instrument for upper and lower limbs SL4I is an intelligent bedside equipment. Through control and feedback of intelligent programs, it drives long-term bedridden patients to complete passive, assist, and active (resistance) exercises. This training can prevent complications such as pressure sores and orthostatic hypotension. Combined with electric stimulation, it activates limb nerves and muscles, improves blood circulation, increases joint mobility, and promotes motor recovery.

Product Specifications

Product NameBedside Active Passive Training Bike
ModesActive, Passive, Assisted, Resistance
Duration1-120 min
Maximum Rev.61-150 r/min
Resistance0-20Nm
Torque1-10Nm
Bedside Rehab Device
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Clinical Application

  • Nervous System: Stroke, craniocerebral injury, cerebral palsy, spinal cord injury, peripheral nerve injury.
  • Movement Organs: Limb fractures, joint surgery, arthritis, osteoporosis, neck and back pain.
  • Internal Organs: Hypertension, coronary heart disease, bronchitis, emphysema.
  • Metabolic Disorders: Diabetes, obesity, hyperlipidemia.
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Key Function Features

01. Smart Control: Tablet-based software system for user information and training records management.
02. Dual Training: High-quality DC motor supporting both upper and lower limb training via replaceable accessories.
03. Multiple Modes: Includes active, passive, assist, free switching, and constant speed modes.
04. Intelligent Detection: Automatically senses patient physical strength to switch between modes.
05. FES Integration: Combined with functional electrical stimulation to re-establish nerve-muscle pathways.
06. Spasticity Protection: Four adjustable levels of spasticity detection for safety.
07. Data Analysis: Automatic analysis of mileage, power, energy consumption, and duration.
08. Vital Monitoring: Communicates with pulse rate and oxygen monitoring via Bluetooth 4.0 BLE.
Training Scenarios
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Professional Profile

As a leading manufacturer of rehabilitation equipment since 2000, the professional team focuses on independent research, development, and production. The product portfolio covers the entire rehabilitation cycle, including intelligent robotics, physical therapy, and occupational therapy solutions. We are committed to providing holistic rehabilitation center construction solutions globally.

Research Facility Production Line
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Certifications

Product Certifications

Frequently Asked Questions

Q1: What are the primary training modes of the SL4I? The SL4I offers four main modes: Passive (motor-driven), Assisted (motor-aided), Active (patient-driven), and Resistance (adjustable difficulty).
Q2: Can this device be used for bedridden patients? Yes, the SL4I is specifically designed as a bedside rehabilitation device, making it ideal for early-stage recovery and long-term bedridden patients.
Q3: How does the spasticity detection function work? The device has 4 adjustable levels of spasticity detection. When it senses a muscle spasm, it intelligently stops or reverses the direction to protect the patient from injury.
Q4: Does the system record patient progress? Yes, the integrated tablet and software system record all training data, including mileage, power output, and duration for long-term recovery tracking.
Q5: Can it perform both upper and lower limb training? Yes, by simply replacing the training accessories, the same unit can be used for either upper limb or lower limb rehabilitation.
Q6: Is functional electrical stimulation (FES) supported? The equipment can be combined with functional electrical stimulation to better activate nerves and muscles during the mechanical training process.

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