diff --git a/README.md b/README.md
index 2a4ae28..0b3c556 100644
--- a/README.md
+++ b/README.md
@@ -1,32 +1,87 @@
 ## Event-Triggered Sensing for Wearable Medical Systems: Highway to High Accuracy and Low Energy Consumption
 
 This repository contains the source code to reproduce the experiments presented in the paper: 
 
 - G. Surrel, T. Teijeiro, A. Aminifar and D. Atienza: *Event-Triggered Sensing for Wearable Medical Systems: Highway to High Accuracy and Low Energy Consumption*, IEEE Design & Test Magazine, 2019 (Submitted)
 
 All the code is implemented in Python 3. The detailed list of dependencies and the procedure to get the results is explained below.
 
 ## Running the experiments
 
 1. Install the [WFDB software package](http://www.physionet.org/physiotools/wfdb.shtml).
 2. Install the following python packages:
    - [sortedcontainers](https://pypi.python.org/pypi/sortedcontainers)
    - [numpy](https://pypi.python.org/pypi/numpy)
    - [scipy](https://pypi.python.org/pypi/scipy)
    - [scikit-learn](https://pypi.python.org/pypi/scikit-learn)
    - [wfdb](https://pypi.org/project/wfdb/)
 3. Download and extract the version 2.0 of the [Construe](https://github.com/citiususc/construe/archive/v2.0.zip) software.
 4. Put the [experiments.py](experiments.py) script in the root folder of the Construe package you just downloaded.
 5. Download the full [MIT-BIH Arrhythmia Database](https://physionet.org/physiobank/database/mitdb/).
 6. Modify the `DB_DIR` variable in the [experiments.py](experiments.py) to point to the directory containing the MIT-BIH Arrhythmia Database.
 7. For each of the records (except 102 and 104), run the [experiments.py](experiments.py) script (this will generate the QRS annotation files for that record and print the average sampling frequency of the adaptive method):
    `~$ python experiments.py recname`
 8. In the directory containing the MIT-BIH Arrhythmia Database there will be two sets of annotation files: `*.gqrs` (detected QRS complexes on the original signals) and `*.wbs` (detected QRS complexes on the subsampled signals). They can be analyzed with the standard [`bxb`](https://www.physionet.org/physiotools/wag/bxb-1.htm) and [`sumstats`](https://www.physionet.org/physiotools/wag/sumsta-1.htm) tools to obtain the sensitivity and positive predictive values in comparison with the manual `*.atr` annotations. For example:
     `~$ bxb -r 100 -a atr wds -l file1 file2`
     `~$ bxb -r 101 -a atr wds -l file1 file2`
     . . .
     `~$ sumstats file1 > validation_WDS.txt`
 
+## Detailed results
+
+The table below shows the disaggregated sensitivity, positive predictivity, F1 score and average sampling frequency (fs) for each of the compared methods with each evaluated record from the MIT-BIH Arrhythmia Database (PS: Periodic sampling, CS: Compressed Sensing, LC: Level-Crossing, KB: Knowledge-based). For PS and CS the sampling frequency is not included, since it is constant in both cases (360 and 180 Hz, respectively).
+
+| Record        | PS Se  | PS +P  | PS F1  | CS Se  | CS +P  | CS F1 | LC Se | LC +P | LC F1 | LC fs | KB Se | KB +P | KB F1 | KB fs  |
+| --- |---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
+| 100 | 100.00 | 100.00 | 100.00 | 99.89 | 100.00 | 99.94 | 100.00 | 100.00 | 100.00 | 32.80 | 100.00 | 100.00 | 100.00 | 12.56 |
+| 101 | 99.93 | 99.87 | 99.90 | 99.87 | 99.87 | 99.87 | 99.93 | 99.87 | 99.90 | 33.18 | 99.93 | 99.87 | 99.90 | 9.52 |
+| 103 | 99.94 | 100.00 | 99.97 | 99.88 | 100.00 | 99.94 | 99.94 | 100.00 | 99.97 | 43.90 | 99.94 | 100.00 | 99.97 | 11.44 |
+| 105 | 99.68 | 98.99 | 99.33 | 99.49 | 99.08 | 99.28 | 99.44 | 98.66 | 99.05 | 44.07 | 99.54 | 99.12 | 99.33 | 11.94 |
+| 106 | 99.94 | 99.88 | 99.91 | 99.82 | 99.94 | 99.88 | 99.82 | 99.88 | 99.85 | 45.59 | 99.88 | 99.88 | 99.88 | 13.57 |
+| 107 | 99.83 | 99.94 | 99.88 | 99.72 | 100.00 | 99.86 | 99.78 | 99.94 | 99.86 | 76.21 | 98.32 | 99.94 | 99.12 | 11.35 |
+| 108 | 99.39 | 99.73 | 99.56 | 99.12 | 99.53 | 99.32 | 98.58 | 98.58 | 98.58 | 30.38 | 99.05 | 99.39 | 99.22 | 23.32 |
+| 109 | 99.90 | 100.00 | 99.95 | 99.81 | 100.00 | 99.90 | 99.90 | 100.00 | 99.95 | 49.23 | 99.71 | 100.00 | 99.85 | 8.57 |
+| 111 | 99.55 | 100.00 | 99.77 | 99.44 | 100.00 | 99.72 | 99.44 | 100.00 | 99.72 | 32.74 | 99.61 | 100.00 | 99.80 | 14.31 |
+| 112 | 100.00 | 100.00 | 100.00 | 99.95 | 100.00 | 99.97 | 100.00 | 100.00 | 100.00 | 28.82 | 100.00 | 100.00 | 100.00 | 16.14 |
+| 113 | 100.00 | 99.87 | 99.93 | 99.93 | 99.80 | 99.86 | 100.00 | 99.87 | 99.93 | 50.07 | 100.00 | 100.00 | 100.00 | 11.20 |
+| 114 | 100.00 | 100.00 | 100.00 | 99.94 | 100.00 | 99.97 | 100.00 | 100.00 | 100.00 | 40.77 | 100.00 | 100.00 | 100.00 | 8.43 |
+| 115 | 100.00 | 100.00 | 100.00 | 99.94 | 100.00 | 99.97 | 100.00 | 100.00 | 100.00 | 47.44 | 100.00 | 100.00 | 100.00 | 11.15 |
+| 116 | 99.16 | 99.85 | 99.50 | 99.01 | 99.85 | 99.43 | 98.96 | 99.90 | 99.43 | 70.13 | 99.16 | 99.85 | 99.50 | 12.36 |
+| 117 | 100.00 | 100.00 | 100.00 | 99.92 | 100.00 | 99.96 | 100.00 | 100.00 | 100.00 | 29.38 | 100.00 | 100.00 | 100.00 | 15.48 |
+| 118 | 100.00 | 99.95 | 99.97 | 99.95 | 100.00 | 99.97 | 100.00 | 99.95 | 99.97 | 57.95 | 100.00 | 100.00 | 100.00 | 19.49 |
+| 119 | 100.00 | 99.76 | 99.88 | 99.94 | 99.64 | 99.79 | 100.00 | 99.70 | 99.85 | 50.18 | 100.00 | 99.94 | 99.97 | 11.26 |
+| 121 | 99.94 | 99.94 | 99.94 | 99.87 | 100.00 | 99.93 | 99.74 | 99.94 | 99.84 | 20.72 | 99.81 | 99.94 | 99.87 | 7.73 |
+| 122 | 100.00 | 100.00 | 100.00 | 99.95 | 100.00 | 99.97 | 100.00 | 100.00 | 100.00 | 45.89 | 100.00 | 100.00 | 100.00 | 9.74 |
+| 123 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 | 41.28 | 100.00 | 100.00 | 100.00 | 11.34 |
+| 124 | 99.93 | 100.00 | 99.96 | 99.85 | 100.00 | 99.92 | 99.85 | 100.00 | 99.92 | 37.24 | 99.78 | 100.00 | 99.89 | 6.92 |
+| **Record**        | **PS Se**  | **PS +P**  | **PS F1**  | **CS Se**  | **CS +P**  | **CS F1** | **LC Se** | **LC +P** | **LC F1** | **LC fs** | **KB Se** | **KB +P** | **KB F1** | **KB fs**  |
+| 200 | 99.86 | 99.82 | 99.84 | 99.82 | 99.91 | 99.86 | 99.82 | 99.82 | 99.82 | 46.14 | 99.86 | 99.82 | 99.84 | 16.88 |
+| 201 | 98.22 | 99.40 | 98.81 | 97.90 | 99.27 | 98.58 | 97.04 | 99.93 | 98.46 | 19.11 | 97.50 | 100.00 | 98.73 | 12.78 |
+| 202 | 99.57 | 99.95 | 99.76 | 99.52 | 99.95 | 99.73 | 99.52 | 100.00 | 99.76 | 35.30 | 99.63 | 100.00 | 99.81 | 10.44 |
+| 203 | 98.35 | 99.11 | 98.73 | 97.94 | 99.31 | 98.62 | 98.19 | 98.86 | 98.52 | 55.19 | 97.78 | 98.78 | 98.28 | 20.31 |
+| 205 | 99.36 | 100.00 | 99.68 | 99.27 | 100.00 | 99.63 | 99.32 | 100.00 | 99.66 | 31.20 | 99.32 | 100.00 | 99.66 | 13.13 |
+| 207 | 99.94 | 99.56 | 99.75 | 99.94 | 99.81 | 99.87 | 99.62 | 99.37 | 99.49 | 30.24 | 99.12 | 99.43 | 99.27 | 9.30 |
+| 208 | 99.18 | 99.88 | 99.53 | 99.18 | 99.92 | 99.55 | 99.43 | 99.88 | 99.65 | 51.96 | 99.34 | 99.92 | 99.63 | 17.18 |
+| 209 | 100.00 | 100.00 | 100.00 | 99.96 | 100.00 | 99.98 | 100.00 | 100.00 | 100.00 | 52.97 | 100.00 | 100.00 | 100.00 | 18.03 |
+| 210 | 98.19 | 99.91 | 99.04 | 98.00 | 99.91 | 98.95 | 97.96 | 99.95 | 98.94 | 31.01 | 97.69 | 99.91 | 98.79 | 12.16 |
+| 212 | 100.00 | 100.00 | 100.00 | 99.91 | 100.00 | 99.95 | 100.00 | 100.00 | 100.00 | 57.20 | 100.00 | 100.00 | 100.00 | 15.64 |
+| 213 | 99.96 | 100.00 | 99.98 | 99.85 | 100.00 | 99.92 | 99.93 | 100.00 | 99.96 | 86.82 | 99.89 | 100.00 | 99.94 | 15.94 |
+| 214 | 100.00 | 100.00 | 100.00 | 99.95 | 100.00 | 99.97 | 100.00 | 99.95 | 99.97 | 45.92 | 99.79 | 99.79 | 99.79 | 9.11 |
+| 215 | 99.93 | 100.00 | 99.96 | 99.86 | 100.00 | 99.93 | 99.96 | 100.00 | 99.98 | 56.22 | 99.93 | 100.00 | 99.96 | 21.80 |
+| 217 | 99.84 | 99.89 | 99.86 | 99.78 | 99.89 | 99.83 | 99.84 | 99.89 | 99.86 | 56.15 | 99.84 | 99.89 | 99.86 | 13.12 |
+| 219 | 100.00 | 98.50 | 99.24 | 99.94 | 96.57 | 98.23 | 100.00 | 98.99 | 99.49 | 44.30 | 100.00 | 98.66 | 99.33 | 13.28 |
+| 220 | 100.00 | 100.00 | 100.00 | 99.94 | 100.00 | 99.97 | 100.00 | 100.00 | 100.00 | 48.38 | 100.00 | 100.00 | 100.00 | 11.85 |
+| 221 | 99.90 | 100.00 | 99.95 | 99.85 | 100.00 | 99.92 | 99.95 | 100.00 | 99.97 | 39.17 | 99.75 | 100.00 | 99.87 | 14.24 |
+| 222 | 99.29 | 99.95 | 99.62 | 98.82 | 100.00 | 99.41 | 98.87 | 100.00 | 99.43 | 30.70 | 99.53 | 99.91 | 99.72 | 18.76 |
+| 223 | 99.95 | 100.00 | 99.97 | 99.91 | 100.00 | 99.95 | 99.95 | 100.00 | 99.97 | 42.16 | 99.86 | 100.00 | 99.93 | 12.62 |
+| 228 | 99.88 | 99.65 | 99.76 | 99.88 | 99.77 | 99.82 | 99.82 | 99.65 | 99.73 | 35.40 | 99.53 | 99.18 | 99.35 | 16.74 |
+| 230 | 100.00 | 100.00 | 100.00 | 99.95 | 100.00 | 99.97 | 100.00 | 100.00 | 100.00 | 49.53 | 100.00 | 99.95 | 99.97 | 12.80 |
+| 231 | 100.00 | 100.00 | 100.00 | 99.92 | 100.00 | 99.96 | 100.00 | 100.00 | 100.00 | 35.79 | 100.00 | 100.00 | 100.00 | 11.21 |
+| 232 | 100.00 | 99.53 | 99.76 | 100.00 | 99.66 | 99.83 | 100.00 | 99.40 | 99.70 | 23.27 | 100.00 | 99.46 | 99.73 | 17.46 |
+| 233 | 99.92 | 100.00 | 99.96 | 99.88 | 99.96 | 99.92 | 99.92 | 99.96 | 99.94 | 56.61 | 99.92 | 99.96 | 99.94 | 22.06 |
+| 234 | 99.96 | 100.00 | 99.98 | 99.91 | 100.00 | 99.95 | 99.96 | 100.00 | 99.98 | 41.71 | 99.96 | 100.00 | 99.98 | 10.80 |
+| **Gross** |  99.73 | 99.85 | 99.79 | 99.64 | 99.82 | 99.73 | 99.66 | 99.83 | 99.74 | 43.70 | 99.62 | 99.84 | 99.73 | 13.62 |
+
 ## License
 
 The code is licensed under the terms of the [GPL v3 license](LICENSE).
\ No newline at end of file