Products Which are Based on the ADS1299 EEG chip from Texas Instruments are at the End of the Line – So Let Us Develop an EEG Device Which is Based on the New Architecture InfluxDB

Last Updated on June 24, 2026 by pg@petergamma.org

Streaming physiological multi-sensor data to InfluxDB is highly effective for time-series biometric monitoring (e.g., ECG, EMG, temperature, and brainwaves).

The standard pipeline involves aggregating raw signals through an edge processor, converting them into structured time-series metrics, and continuously writing them to the database. [1, 2]

Recommended Tech Stack & Pipeline

• Edge Device: Microcontrollers like the Raspberry Pi or an ESP32 aggregate signals via serial or Bluetooth.
• Data Stream Processing: Node-RED or Python scripts handle data parsing, filtering, and normalization.
• Messaging Protocol: MQTT (Message Queuing Telemetry Transport) efficiently pushes data from edge devices to your backend.
• Data Ingestion: Telegraf acts as the server-side ingestion agent, subscribing to your MQTT broker and writing streams directly into InfluxDB.
• Database: InfluxDB stores the timestamped biometric data at scale.
• Visualization: Grafana queries the database to build real-time monitoring dashboards. [1, 2, 3, 4, 5]

Step-by-Step Implementation

1. Signal Aggregation: Connect your physiological sensors (e.g., a MySignals board or OpenBCI) to a microcontroller.
2. Preprocessing: Use a runtime environment like Node-RED running on a local device to filter the raw analog/digital conversions and format them into readable JSON objects.
3. Publishing: Transmit the JSON payloads over MQTT to a local or cloud-based MQTT Broker.
4. Ingestion: Configure a Telegraf agent to listen to the MQTT topic. Use the Telegraf MQTT consumer plugin to map the physiological metrics to InfluxDB measurement fields.

https://www.google.com/search?as_q=physiological+multi+sensor+devices+influxdb&as_epq=&as_eq=&as_sitesearch=&as_filetype=&as_qdr=&lr=&cr=&tbs=&authuser=

But Peter Gamma from www.petergamma.org invites you first to start with something which is easier:

And that is:

How to Build an Open Source 3 Channel Gold Standard ECG Device & Spirometer for Medical & Research Applications for around 250 USD:

How to Build an Open Source 3 Channel Gold Standard ECG Device & Spirometer for Medical & Research Applications for around 250 USD?

And let us follow the example of Scott W. Harden who worked for around 10 years on his Sound Card ECG:

Peter Gamma from www.petergamma.org will have this 3 channel Gold Standard ECG device with Spirometer probably in less than 10 years from now. And what do meditators need more than this? Write it in the comments below.