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1. |
Record Nr. |
UNISA996385179803316 |
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Titolo |
All is ours and our husbands, or The country hostesses vindication [[electronic resource] ] : She durst not scold 'tis counted for an evil. Sheel cheat and whore, and yet be counted civil; sheel fill her pocketsby [sic] poor drunkards losses, and send then all to jayl by weeping crosses. To the tune, of the Carmans VVhistle, or High boys up go we |
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[London], : Printed for P. Brooksby at the Golden Ball in Pye-Corner, [between 1670-1696] |
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Descrizione fisica |
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1 sheet ([1] p.) : ill. (woodcuts) |
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Soggetti |
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Songs, English - England - Texts |
Drinking songs - Texts |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Place and date of publication suggested by Wing. |
Reproduction of original in the British Library. |
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Sommario/riassunto |
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2. |
Record Nr. |
UNINA9910566473903321 |
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Autore |
Niazi Imran Khan |
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Titolo |
Signal Processing Using Non-invasive Physiological Sensors |
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Pubbl/distr/stampa |
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
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Descrizione fisica |
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1 online resource (222 p.) |
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Soggetti |
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Medical equipment and techniques |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Non-invasive biomedical sensors for monitoring physiological parameters from the human body for potential future therapies and healthcare solutions. Today, a critical factor in providing a cost-effective healthcare system is improving patients' quality of life and mobility, which can be achieved by developing non-invasive sensor systems, which can then be deployed in point of care, used at home or integrated into wearable devices for long-term data collection. Another factor that plays an integral part in a cost-effective healthcare system is the signal processing of the data recorded with non-invasive biomedical sensors. In this book, we aimed to attract researchers who are interested in the application of signal processing methods to different biomedical signals, such as an electroencephalogram (EEG), electromyogram (EMG), functional near-infrared spectroscopy (fNIRS), electrocardiogram (ECG), galvanic skin response, pulse oximetry, photoplethysmogram (PPG), etc. We encouraged new signal processing methods or the use of existing signal processing methods for its novel application in physiological signals to help healthcare providers make better decisions. |
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