



A wearable neurostimulation glove system powered by the nRF5340 BLE platform, designed to generate programmable vibration stimulation profiles using PWM waveform arrays for Parkinson’s therapy research.





The Intelligent Vibration Therapy Gloves project is an advanced wearable healthcare solution developed to assist individuals affected by Parkinson’s disease through targeted vibration-based stimulation therapy. Built around the Nordic Semiconductor nRF5340 dual-core BLE platform, the system generates specialized vibration stimulation profiles using programmable PWM waveform arrays to deliver highly controlled therapeutic pulse patterns. The device integrates precision-controlled vibration actuators, configurable therapy modes, and low-latency real-time firmware to ensure stable and repeatable stimulation output. By leveraging PWM array sequencing, the platform can reproduce complex vibration signatures with precise timing, intensity modulation, and frequency control, enabling flexible experimentation for neurological stimulation research and assistive therapeutic applications. Bluetooth Low Energy (BLE) connectivity supports wireless configuration, diagnostics, and future mobile integration capabilities. The embedded architecture was optimized for synchronized actuator driving, low-power wearable operation, and scalable firmware expansion while maintaining comfort, portability, and real-time responsiveness for continuous wearable usage.
Developing a wearable therapeutic platform capable of generating highly accurate and repeatable vibration stimulation profiles using PWM waveform arrays while maintaining low latency, stable BLE communication, synchronized actuator control, and low power consumption in a compact wearable device.
Designed a real-time embedded firmware architecture on the nRF5340 BLE SoC utilizing programmable PWM array sequencing for precise waveform-based vibration stimulation. Optimized the firmware for deterministic timing control, synchronized motor actuation, and efficient low-power operation while leveraging the dual-core architecture to separate BLE communication from real-time stimulation processing tasks.
Client
N/A
Duration
4 Months
Year
2024
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