Category: mp3

Pump Pump (Radio) - D.J. N.K. - Take This


2001
Label: A.L.L.O.U.T. Records - 0002-3 • Format: CD Album • Country: US • Genre: Hip Hop •
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Help us improve our products. Sign up to take part. A Nature Research Journal. Skin-mounted soft electronics that incorporate high-bandwidth triaxial accelerometers can capture broad classes of physiologically relevant information, including mechano-acoustic signatures of underlying body processes such Pump Pump (Radio) - D.J.

N.K. - Take This those measured by a stethoscope and precision kinematics of core-body motions. Because the measurements are a complex superposition of signals that arise from locomotion, body orientation, swallowing, respiration, cardiac activity, vocal-fold vibrations and other sources, we exploited frequency-domain analysis and machine learning to obtain—from human subjects during natural daily activities and exercise—real-time recordings of heart rate, respiration rate, Kukie Bird - Ray Anthony - Like Wild! intensity and other essential vital signs, as well as talking time and cadence, swallow counts and patterns, and other unconventional biomarkers.

We also used the device in sleep laboratories and validated the measurements using polysomnography. The main data supporting the results in this study are available within the paper and its Supplementary Information. The raw and analysed datasets generated for the studies in Figs.

The analysis codes used in this study are available from the authors upon request. Liu, Y. Epidermal mechano-acoustic sensing electronics for cardiovascular diagnostics and human-machine interfaces.

Kaniusas, E. Hu, Y. Physiological acoustic sensing based on accelerometers: a survey for Meet In The Dark - Dark Dark Dark - Who Needs Who healthcare. Application of acceleration sensors in physiological experiments. Makarenkova, A. Efficiency evaluation of electroacoustic sensors for auscultation devices of human body life-activity sounds.

In Proc. Dudik, J. Dysphagia screening: contributions of cervical auscultation signals and modern signal-processing. IEEE Trans. Kok, M. Using inertial sensors for position and orientation estimation. Trends Signal Process. Makaryus, Pump Pump (Radio) - D.J. N.K. - Take This . Digital stethoscope: technology update. Devices 1129—36 Brond, J. Sampling frequency affects the processing of Actigraph raw acceleration data to activity counts.

Di Rienzo, M. A wearable system for the seismocardiogram assessment in daily life conditions. Jafari Tadi, M. Gyrocardiography: A new non-invasive monitoring method for the assessment of cardiac mechanics and the estimation of hemodynamic variables.

Inan, O. Novel wearable seismocardiography and machine learning algorithms can assess clinical status of heart failure patients. Heart Fail. Shandhi, M. Performance analysis of gyroscope and accelerometer sensors for seismocardiography-based wearable pre-ejection period estimation.

IEEE J. Health 23— Hernandez, J. Wearable motion-based heart-rate at rest: a workplace evaluation. Hung, P. Estimation of respiratory waveform using an accelerometer. Bates, A. Respiratory rate and flow waveform estimation from tri-axial accelerometer data.

Liu, G. Estimation of respiration rate from three-dimensional acceleration data based on body sensor network. Health 17— Lapi, S. Respiratory rate assessments using a dual-accelerometer device. Tadi, M. A miniaturized MEMS motion processing system for nuclear medicine imaging applications. Preejith, S.

Accelerometer based system for continuous respiratory rate monitoring. Pompilio, P. A MEMS accelerometers based system for the measurement of lung sound delays.

Lee, J. Time and time-frequency characterization of dual-axis swallowing accelerometry signals. Damouras, S. An online swallow detection algorithm based on the quadratic variation of dual-axis accelerometry. Signal Process. A comparative analysis of swallowing accelerometry and sounds during saliva swallows. Online 143 Kumari, S. Blood sugar level indication through chewing and swallowing from acoustic MEMS sensor and deep learning algorithm for diabetic management.

Mehta, D. Mobile voice health monitoring using a wearable accelerometer sensor and a smartphone platform. Michalevsky, Y. Gyrophone: recognizing speech from gyroscope signals. Nyan, M. Garment-based detection of falls and activities of daily living using 3-axis MEMS accelerometer. Curone, D. A real-time and self-calibrating algorithm based on triaxial accelerometer signals for the detection of human posture and activity.

Yang, C. A review of accelerometry-based wearable motion detectors for physical activity monitoring. Sensors 10— Posatskiy, A. The effects of motion artifact on mechanomyography: A comparative study of microphones and accelerometers.

Maki, H. A daily living activity remote monitoring system for solitary elderly people. IEEE Eng. EMBS— Zheng, Y. Unobtrusive sensing and wearable devices for health informatics. Phan, D. Estimation of respiratory waveform and heart rate using an accelerometer. Vertens, J. Measuring respiration and heart rate using two acceleration sensors on a fully embedded platform.

I Wanna Be Sedate - Pixels - Terminal accelerometer-based device for sleep apnea screening. He, D. Da, Winokur, Pump Pump (Radio) - D.J.

N.K. - Take This. An ear-worn continuous ballistocardiogram BCG sensor for cardiovascular monitoring. Rahman, T. BodyBeat: a mobile system for sensing non-speech body sounds.


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