Man pages for Sage-Bionetworks/mHealthTools
mhealthtools - Package for processing mobile sensor data and to extract meaningful features
| accelerometer_data | Accelerometer sensor measurements |
| accelerometer_features | Extract accelerometer features |
| balance_data | Device-Motion data from a performed balance activity |
| bandpass | Apply a pass-band filter to time series data |
| calculate_drift | Calculate the drift given x and y |
| clean_tapped_button_none | Remove duplicates in the given dataframe tap_data which have... |
| coef_var | Calculate the Coefficient of Variation (coef_var) for a given... |
| default_kinematic_features | Default feature extraction functions for accelerometer and... |
| derivative | Take the derivative of a vector v |
| detrend | Detrend time series data |
| extract_features | Extract features from a column |
| fatigue | Calculate the fatigue given a vector x |
| filter_time | Select a specific time range from sensor data. |
| frequency_domain_energy | Returns energy for each 0.5Hz band in the frequency spectrum. |
| frequency_domain_summary | Returns statistical summary of the frequency spectrum |
| get_balance_features | Preprocess and extract interpretable features from balance... |
| get_ewt_spectrum | Get EWT spectrum |
| get_filtered_signal | Bandpass and sorted mean filter the given signal |
| get_heartrate | Preprocess and extract heart rate from smartphone video... |
| get_hr_from_time_series | Given a processed time series find its period using... |
| get_kinetic_tremor_features | Preprocess and extract interpretable features from kinetic... |
| get_left_right_events_and_tap_intervals | Curate the raw tapping data to get Left and Right events,... |
| get_sampling_rate | Calculate the sampling rate. |
| get_spectrum | Get AR spectrum |
| get_tapping_features | Preprocess and extract interpretable features from screen... |
| get_tremor_features | Preprocess and extract interpretable features from resting... |
| get_walk_features | Preprocess and extract interpretable features from walk... |
| gravity_data | Gravity sensor measurements |
| guanlab_nn_weights | Weights for the included GuanLab model |
| gyroscope_data | Gyroscope sensor measurements |
| gyroscope_features | Extract gyroscope features |
| has_error | Check if a dataframe has an error column with at least one... |
| heartrate_data | Sample heartrate data from a smartphone camera |
| integral | Take the integral of a vector v |
| intertap_summary_features | Get default tapping features for intertap distance |
| kinematic_sensor_argument_validator | Ensure the kinematic sensor arguments are well formed |
| kinetic_tremor_data | Device-Motion data from a performed kinetic tremor activity |
| map_groups | Map a function to a single column within tibble groups |
| mean_tkeo | Calculate the Mean Teager-Kaiser energy, adapted from TKEO... |
| mutate_acf | Construct a dataframe with ACF values |
| mutate_bandpass | Apply a pass-band filter to sensor data |
| mutate_derivative | Add a column which is the "derivative" of an existing column... |
| mutate_detrend | Detrend sensor data |
| mutate_integral | Add a column which is the "integral" of an existing column to... |
| prepare_kinematic_sensor_args | Return arguments to be used in general feature functions |
| rest_tremor_data | Device-Motion data from a performed resting tremor activity |
| sensor_features | Extract sensor features |
| tag_outlier_windows | Identify abnormal device rotations |
| tag_outlier_windows_ | Get min and max gravity values for each window |
| tap_data | Sample tapping data from the tapping activity on a smartphone |
| tap_data_summary_features | Get default tapping features |
| tapdrift_summary_features | Get default tapping features for tap drift |
| tapping_features | Extract tapping (screen sensor) features |
| tidy_sensor_data | Gather the axial columns |
| time_domain_summary | Returns statistical summary of the time series |
| transformation_imf_window | Generate a function for windowing sensor data after applying... |
| transformation_window | Generate a function for applying a window transformation to... |
| walk_data | Device-Motion data from a performed walk activity |
| window | Window the value vector of sensor data for each axis |
| window_signal | Window a signal |
| window_start_end_times | Compute start/end timestamps for each window |
