Haptic Meditation Enhancement Device (HMED): An Arduino-Based Multi-Sensor Real-Time Monitoring and Intervention Support System

Figures

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  Figure 1. Electronic circuit of the meditation aid. The device integrates a GSR sensor (GSR V2), an EMG sensor (Cheez. sEMG), and an HR sensor (MAX30102); the letters next to the components in the figure indicate their specific models. The VCC pins of each sensor are connected to the development board’s 5 V or 3.3 V output, and the GND pins are connected to the board’s GND. The HR sensor is connected via an I2C digital bus, while the analog outputs of the GSR and sEMG sensors are connected to ADC channels. The three types of output modules are assigned to digital I/O or PWM pins. In the diagram, red wires represent the 5 V power supply, blue wires represent the 3.3 V power supply, and black wires represent ground; wires of other colors are used to distinguish different signal lines.

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  Figure 2. Flowchart of the haptic meditation enhancement device.

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  Figure 3. Validation of the GSR sensors. (a) Sensor functionality test; (b) data recording from the serial monitor.

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  Figure 4. SICHIRAY GSR V2 accuracy validation data. (a) Initial physiological skin potential data of subjects wearing the SICHIRAY GSR V2 device at rest. (b) Physiological skin potential data of subjects wearing the SICHIRAY GSR V2 device during seated meditation. (c) Physiological skin potential data of subjects wearing the SICHIRAY GSR V2 device during seated meditation with intervention.

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  Figure 5. Data after SICHIRAY GSR V2 fitting. Fitted skin potential data of subjects wearing the SICHIRAY GSR V2 under resting state in non-intervened meditation and intervened meditation conditions.

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  Figure 6. EMG sensor functional validation. (a) Sensor functional test; (b) test code and data recording.

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  Figure 7. Cheez. sEMG validation data. (a) Initial physiological EMG data of subjects wearing the Cheez. sEMG device at rest. (b) Physiological EMG data of subjects wearing the Cheez. sEMG device during seated meditation. (c) Physiological EMG data of subjects wearing the Cheez. sEMG device during seated meditation with intervention.

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  Figure 8. Data after Cheez. sEMG fitting. Fitted EMG data of subjects wearing the Cheez. sEMG device in a resting state under non-intervened and intervened meditation conditions.

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  Figure 9. MAX30102 verification experiment. (a) Sensor functionality test. (b) Test code.

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  Figure 10. MAX30102 accuracy validation data. (a) Initial physiological HR data of subjects wearing the MAX30102 device at rest. (b) Physiological HR data of subjects wearing the MAX30102 device during seated meditation. (c) Physiological HR data of subjects wearing the MAX30102 device during seated meditation with intervention.

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  Figure 11. Data after MAX30102 fitting. Fitted HR data of subjects wearing the MAX30102 in a resting state under non-intervened and intervened meditation conditions.

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  Figure 12. Prototype of the haptic meditation enhancement device. (a) Arduino UNO control board. (b) SICHIRAY GSR V galvanic skin response sensor (c) HE-30 nebulizer module. (d) Cheez. sEMG electromyography sensor. (e) DF Player Mini audio playback module. (f) Audio speaker. (g) MAX30102 HR sensor. (h) WS2812B programmable RGB LED.