Smart Rehabilitation Solution

Training monitoring, remote guidance, gamified VR/AR exercise, and outcome assessment for better rehabilitation care

Smart rehabilitation overview

Using IoT, wearable sensors, artificial intelligence, and VR/AR, the solution gives rehabilitation providers, care homes, and home programs a way to capture training data, guide sessions remotely, make practice more engaging, and measure results. Demand in China is large: stroke, post-operative orthopedics, and sports injury together involve more than ten million patients a year. Conventional rehab still depends on manual assessment and paper notes, so adherence is weak, progress is hard to measure, and people training at home often have no guidance.

Smart devices, wearable sensors, and force-feedback equipment record joint angle, muscle strength, range of motion, and gait. Therapists guide home sessions by video and a training plan. VR and AR make practice more engaging, which supports adherence. Progress and outcome measures are totaled and shown automatically, so the plan can be adjusted and the result assessed. The system can connect to the hospital HIS and the electronic medical record for quality management and research, and it fits rehabilitation, orthopedics, neurology, care homes, and home programs.

Policy and industry context

The 14th Five-Year Implementation Plan for a High-Quality and Efficient Medical and Health Service System calls for stronger rehabilitation capacity and for that capacity to move closer to patients. The Opinions on Accelerating the Development of Rehabilitation Medical Services encourage models such as Internet Plus rehabilitation and remote rehabilitation. Need is large: more than 13 million people are living after stroke, with about 2.5 million new cases a year; orthopedic surgery exceeds 5 million cases a year; and faster aging is driving demand for geriatric rehabilitation and chronic-disease rehabilitation. Conventional services face a shortage of therapists — about 2.6 per 100,000 people — plus little guidance at home, weak adherence, and results that are hard to measure. Digital tools extend how far a rehabilitation service can reach, and make it easier to access and more effective.

Implementation notes

1
Equipment: Match the device to the program. Upper limb work can use force-feedback gloves and rehabilitation robots. Lower limb work can use gait analyzers and smart canes. Balance training can use VR/AR. Age, cognition, and the home setting all matter.
2
Data standards: Rehabilitation data is medical privacy and must follow the Personal Information Protection Law and the Data Security Law. A link to the HIS should meet health-information interoperability standards. A mix of on-premises and cloud storage is a sound default, with sensitive fields de-identified.
3
Service model: In hospital, the priority is connected equipment and data capture. At home, add remote guidance, pushed training plans, and adherence reminders. A hospital–community–home model can tie the three levels together.
Training monitoring
Remote guidance
Engaging practice
Outcome assessment
Smart rehabilitation — rehabilitation care

Core capabilities

Intelligent support across the rehabilitation pathway

Training data

Joint angle, muscle strength, range of motion, and gait are captured as the session runs. Rehabilitation devices, wearables, and force-feedback equipment stay on the network. Repetitions, duration, and intensity are recorded automatically, across devices and body regions.

Remote guidance

Therapists guide by video, push a training plan, and correct movement. Home-session data comes back so the therapist can reassess and adjust the plan remotely. One-to-many and appointment-based remote service are both supported.

VR/AR practice

Immersive, game-like sessions support adherence. Scenarios cover upper limb, lower limb, balance, and cognition. Training data stays tied to game progress, so the result can be measured.

Outcomes and reports

Progress curves and outcome measures are totaled automatically. FIM and Barthel scales support the assessment. Reports, before-and-after comparisons, and research exports are included.

Typical Use Cases

Rehabilitation and orthopedics

Recovery after surgery and after sports injury

Neurological rehabilitation

Recovery after stroke and spinal cord injury

Home rehabilitation

Remote guidance and training at home

Care homes

Geriatric rehabilitation and chronic-disease management

Connectivity

  • Device access: Rehabilitation equipment and wearables join the IoT platform over Bluetooth, Wi-Fi, or 4G, including BLE and MQTT.
  • Video: WebRTC and RTMP keep remote guidance at low latency.
  • Data security: Rehabilitation data is patient privacy. Encryption, de-identification, and medical-data compliance are supported.
  • System integration: Connects to the HIS, the electronic medical record, and medical insurance, including fee settlement and filing of the record.

Related solutions

Upgrade rehabilitation services

Our specialists will shape a rehabilitation solution around your service, for better quality and clearer results