mudraka

PyPI npm

A transport-agnostic C++17 engine that decodes the Mudra Link wristband's raw surface-EMG (SNC) BLE stream into int32 samples, buffers them in a ring, and serves the latest window for real-time use. You own the BLE connection and hand each notification's bytes to feed(); mudraka does the decode + buffering.

One core, two distributions: PyPI (nanobind wheel) and npm (Emscripten→WASM, with TypeScript types). Target is the retail Mudra Link (~834 Hz / 16-bit).

Python

pip install mudraka

import numpy as np
from mudraka import Stream, Config

s = Stream(Config())
s.feed(notification_bytes, recv_time_s)          # one BLE notification per call
out = np.empty((3, 4096), dtype=np.int32)
written, cursor, lost = s.latest_into(out)       # zero-copy into `out`; lost > 0 = ring overwrote unread

JavaScript / TypeScript

npm install mudraka

import createMudraka from "mudraka";

const M = await createMudraka();
const CH = 3, MAX = 256;
const stream = new M.Stream(M.makeConfig(CH, 834, 4)); // 3ch, ~834 Hz, 4 s ring

const ptr = M._malloc(CH * MAX * 4), base = ptr >> 2;  // channel-major int32 in WASM heap
let cursor = 0;

function onNotification(bytes, recvTimeS) {            // bytes = Uint8Array
  stream.feed(bytes, recvTimeS);
  const r = stream.pullInto(cursor, ptr, MAX);
  for (let i = 0; i < r.written; i++) {
    const ulnar = M.HEAP32[base + 0 * MAX + i];        // + median, radial at 1*, 2*
  }
  cursor = r.next_cursor;                              // r.lost > 0 = ring overwrote unread
}
// M._free(ptr); stream.delete();  when done

Web Bluetooth wiring, the bundler .wasm note, and the full JS API are in npm/README.md.

Build from source (native)

cmake -S . -B build -G Ninja -DMUDRAKA_BUILD_TESTS=ON
cmake --build build
ctest --test-dir build --output-on-failure

Design docs are in docs/ (start with docs/CONTEXT.md). SNC decode details: docs/DECODE_VERIFICATION.md.

Acknowledgements

  • Prodilink : reverse-engineering reference for the Mudra Link BLE protocol.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.3.1)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for ttktjmt from gravatar.com ttktjmt

Credits

Author: ttktjmt

License

Apache Software License (Apache-2.0)

Requires

Python >=3.9

Provides Extra

numpy

Classifiers

Report project as malware

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0.3.1

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