smartphone sony xperia z1 compact  (Sony)

Journal: Journal of Medical Internet Research

Article Title: Smartphone-Based Hand Function Assessment: Systematic Review

doi: 10.2196/51564

Figure Lengend Snippet: Summary of smartphone specification.

Article Snippet: Akhbardeh et al [ ], 2015 , — , — , Sony Xperia Z1 , — , 20.7 mega pixel.

Techniques: Software

Journal: Frontiers in Cardiovascular Medicine

Article Title: Detection of heart rate using smartphone gyroscope data: a scoping review

doi: 10.3389/fcvm.2023.1329290

Figure Lengend Snippet: Summary of content of all publications included in the review.

Article Snippet: Tadi et al. ( ) , 435 (150:190) b , 435 , Sony Xperia Z1 and Z5 , ACC & GYRO (200 Hz) , Supine position with the smartphone placed longitudinally on the chest; the phone’s screen faces upwards and its bottom edge is at the level of the lower edge of the sternum; this captures lateral movements (x-axis), head-to-foot aligned movements (y-axis), and dorsoventral movements from precordial vibrations (z-axis) , Each recording comprises 3-minute 6-axis MCG and synchronized 5-lead telemetry ECG signals , Noise removal by SSA; use of triangular moving-average filters to detect envelope; FFT and short-term autocorrelation used on the segmented signals before finding the first side peak , ECG (Philips IntelliVue MX40 d ) , N/R.

Techniques:

Journal: Healthcare

Article Title: A Systematic Review of Machine Learning and IoT Applied to the Prediction and Monitoring of Cardiovascular Diseases

doi: 10.3390/healthcare11162240

Figure Lengend Snippet: IoT/IoMT-based abnormality and arrhythmia detection.

Article Snippet: Sony Xperia Z1/Z5, (Sony, Tokyo, Japan), Philips IntelliBue MX40 (Philips, Amsterdam, Netherlands) [ ] , Random Forest, XGBoost, Logistic Regression , AUC AFib 4 : 98%, 98%, 96%, AUC ADHF 5 : 85%, 82%, 83%.

Techniques: MicroChIP Assay, Plasmid Preparation

Journal: Frontiers in Neuroscience

Article Title: Synchronization of ear-EEG and audio streams in a portable research hearing device

doi: 10.3389/fnins.2022.904003

Figure Lengend Snippet: (A) System diagram of the measurement setup. The system diagram shows the signal flow and illustrates which components of the setup are responsible for the different signals and data streams and how they are related. Black lines refer to physical voltage signals; red lines refer to LSL streams. The setup combines the Portable Hearing Laboratory (PHL, left) and the EEG system (right). The PHL's function is described in the scheme of a sender-receiver architecture. The sender instance's (top left) role is to present acoustic stimuli audio out to the subject via the hearing aids. The physical voltage signal is measured at measurement point a. During playback of the stimuli, the sender instance simultaneously creates an audio event marker LSL stream that contains event markers indicating specific time points in the audio signal. The audio event marker LSL stream is measured at point d. Subsequently, the resulting EEG voltage signal EEG in (measurement point b) is amplified using the mobile EEG amplifier. The smartphone receives the EEG data via a Bluetooth connection and creates an LSL stream of the EEG data, i.e., EEG LSL stream (measurement point c). The receiver instance captures both the audio event marker LSL stream and the EEG LSL stream . (B) Timing diagrams for all three timing test scenarios. Timing diagrams relate two signals or streams in terms of time (x-axis). Square wave signals were used to test the timing in the setup. The time difference between two related time points is defined as trial latencies Δ t n , measured about every second. In timing test Scenario I (left) Δ t n was computed by comparing the rising edges in the voltage signal audio out (a) and the audio event marker LSL stream (d). In timing test Scenario II (center) Δ t n was computed by comparing the rising edges in the voltage signal EEG in (b) and the EEG LSL stream (c). In timing test Scenario III (right) Δ t n was computed by comparing the rising edges in the EEG LSL stream (c) and the audio event marker LSL stream (d).

Article Snippet: In this work, the SMARTING EEG amplifier (Serial number: 010016) is used in combination with a Sony Xperia Z1 smartphone (model: C6903; OS: Android 5.1.1) using a pre-installed Smarting Android application (Version: 1.6.0).

Techniques: Marker, Amplification