Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants.

Paul, Ankita; Tajin, Md Abu Saleh; Das, Anup; Mongan, William M; Dandekar, Kapil R

Paul, Ankita; Tajin, Md Abu Saleh; Das, Anup; Mongan, William M; Dandekar, Kapil R.

Afiliación

Paul A; Department of Electrical and Computer Engineering, Drexel University College of Engineering, Philadelphia, PA 19104, USA.
Tajin MAS; Department of Electrical and Computer Engineering, Drexel University College of Engineering, Philadelphia, PA 19104, USA.
Das A; Department of Electrical and Computer Engineering, Drexel University College of Engineering, Philadelphia, PA 19104, USA.
Mongan WM; Department of Mathematics and Computer Science, Ursinus College, Collegeville, PA 19426, USA.
Dandekar KR; Department of Electrical and Computer Engineering, Drexel University College of Engineering, Philadelphia, PA 19104, USA.

Electronics (Basel) ; 11(5)2022 Mar.

Article en En | MEDLINE | ID: mdl-36199762

Palabras clave

deep learning; respiratory classification; spiking neural network (SNN); wearable

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Electronics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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