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heliaEDGE
Reference
HELIA

timeppg_params

Validated TimePPG architecture config and published channel presets; no backend imports.

Machine-readable model

constant

TIMEPPG_PRESETS

Python

helia_edge/models/timeppg_params.py:34

TIMEPPG_PRESETS: Mapping[str, TimePPGParams] = {'timeppg_big': TimePPGParams(channels=(32, 32, 63, 64, 64, 121, 122, 104, 76, 82, 61)), 'timeppg_medium': TimePPGParams(channels=(26, 17, 42, 63, 41, 26, 30, 27, 16, 45, 80)), 'timeppg_small': TimePPGParams(channels=(2, 3, 2, 13, 2, 2, 31, 4, 9, 28, 77))}
class

TimePPGParams

Python

TEMPONet-derived PPG heart-rate regressor (Burrello et al., 2022).

helia_edge/models/timeppg_params.py:11

TimePPGParams()

TEMPONet-derived PPG heart-rate regressor (Burrello et al., 2022).

Eleven widths in upstream order: nine convolution blocks (tcb00, tcb01, cb0, tcb10, tcb11, cb1, tcb20, tcb21, cb2) and two regressor layers (regr0, regr1). Dilations, kernels and strides are fixed by the architecture. No trained weights are published upstream.