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公开(公告)号:US20170340292A1
公开(公告)日:2017-11-30
申请号:US15169184
申请日:2016-05-31
Applicant: STMicroelectronics S.r.l. , Politecnico Di Milano
Inventor: Beatrice ROSSI , Pasqualina FRAGNETO , Daniele ZAMBON , Diego CARRERA , Giacomo BORACCHI
IPC: A61B5/00 , A61B5/04 , A61B5/0245 , A61B5/0402 , A61B5/024
CPC classification number: A61B5/7267 , A61B5/0022 , A61B5/02438 , A61B5/0245 , A61B5/04012 , A61B5/04017 , A61B5/0402 , A61B5/04525 , A61B5/0456 , A61B5/0468 , A61B5/0472 , A61B5/1118 , A61B5/7207 , A61B5/7221 , A61B5/7232 , A61B5/7253 , A61B5/7278 , A61B2505/07 , A61B2562/0219
Abstract: A heartrate monitor detects heartbeats in a test signal. A local heartrate and an energy of acceleration are associated with the detected heartbeats. Detected heartbeats are included or excluded from a test set of heartbeats based on the local heartrate and energy of acceleration associated with the respective heartbeats. Anomalous heartbeats in the test set of heartbeats are detected using a sparse approximation model. The heartrate monitor may detect heartbeats in a training heartbeat signal. A reference heart rate and an energy of acceleration are associated with detected beats of the training heartbeat signal and selectively included in a set of training data based on the heart rate and energy of acceleration associated with the detected beat in the training heartbeat signal. A dictionary of the sparse representation model may be generated using the set of training data.
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公开(公告)号:US20170360377A1
公开(公告)日:2017-12-21
申请号:US15696051
申请日:2017-09-05
Applicant: STMicroelectronics S.r.l. , POLITECNICO DI MILANO
Inventor: Beatrice ROSSI , Pasqualina FRAGNETO , Diego CARRERA , Giacomo BORACCHI , Daniele ZAMBON
IPC: A61B5/00 , A61B5/0245 , A61B5/0456 , A61B5/0432
CPC classification number: A61B5/7267 , A61B5/0006 , A61B5/0022 , A61B5/02438 , A61B5/0245 , A61B5/04012 , A61B5/04017 , A61B5/04325 , A61B5/04525 , A61B5/0456 , A61B5/0468 , A61B5/0472 , A61B5/1118 , A61B5/6802 , A61B5/7207 , A61B5/7221 , A61B5/7232 , A61B5/7253 , A61B5/7278 , A61B2505/07 , A61B2562/0219
Abstract: A heart-rate associated with a heartbeat signal is determined. A transform is selected based on the determined heart-rate associated with the heartbeat signal and a reference heart-rate associated with a dictionary of a sparse approximation model. The transform is selected independent of other factors associated with generation of the heartbeat signal. The selected transform is applied to the dictionary of the sparse approximation model, generating an adjusted dictionary of the sparse approximation model. Anomalous heartbeats in the heartbeat signal are detected using the adjusted dictionary of the sparse approximation model.
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公开(公告)号:US20200097758A1
公开(公告)日:2020-03-26
申请号:US16620651
申请日:2018-06-07
Applicant: MECTHO S.R.L. , POLITECNICO DI MILANO
Inventor: Alessandro Lorenzo BASSO , Mario GALIMBERTI , Cesare ALIPPI , Giacomo BORACCHI , Manuel ROVERI
Abstract: A detection device (1) including: a sensor configured to emit a monitoring signal representing a scene (S), a control unit (4) connected to the sensor. The control unit is configured to: receive the monitoring signal from the sensor, estimate a three-dimensional representation of the scene (S) as a function of said monitoring signal, determine an inspection region (V) from the three-dimensional representation of the scene, provide a classifier with a representation of the inspection region (V), determine, by means of the classifier and based on the representation of the inspection region (V), the presence of people (P) and/or specific objects (C) in the representation of said inspection region (V).
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公开(公告)号:US20250072787A1
公开(公告)日:2025-03-06
申请号:US18458879
申请日:2023-08-30
Inventor: Diego CARRERA , Carlo GHIGLIONE , Beatrice ROSSI , Pasqualina FRAGNETO , Giacomo BORACCHI
Abstract: A method of operating an inertial sensor module includes receiving a stream of inertial sensor data representing activity of a user of an electronic device and generating a plurality of wavelet sub-bands by performing a wavelet transform on the inertial sensor data. The method includes identifying a wavelet sub-band of highest energy from the plurality of wavelet sub-bands, generating augmented inertial sensor data by combining the wavelet sub-band of highest energy to the inertial sensor data, and identifying a first transition in the activity of the user based on the augmented inertial sensor data.
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公开(公告)号:US20220027715A1
公开(公告)日:2022-01-27
申请号:US17383132
申请日:2021-07-22
Applicant: STMICROELECTRONICS S.r.l.
Inventor: Diego CARRERA , Matteo COLELLA , Giuseppe DESOLI , Giacomo BORACCHI , Beatrice ROSSI , Pasqualina FRAGNETO , Luca FRITTOLI
Abstract: A method, comprising: providing an ANN processing stage having a plurality of processing layers with respective parameters including at least one set of weight parameters, at least one input, resp. output, activation parameter and at least one activation function parameter; setting to an integer value a dimensional parameter of a lattice having a plurality of lattice points and identified by a set of basis vectors; selecting a set of weight parameters of a respective processing layer; vectorizing the selected set of weight parameters producing a set of weight vectors arranged as items of a matrix of weight vectors; normalizing the matrix of weight vectors; applying lattice vector quantization, LVQ, processing to the matrix of normalized weight vectors, producing a codebook of codewords; indexing by encoding codewords of the codebook as a function of the lattice, producing respective tuples of indices. The normalization comprises solving an optimization problem having a first term configured to provide normalized weight values approximating at least output, as a function of at least one input, activation parameter, and a regularization term ΩL, configured to amplify weight values having a short distance from the lattice points of the lattice L.
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