439 lines
18 KiB
Markdown
439 lines
18 KiB
Markdown
# XYParser 数据流与接口时序说明
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## 1. 参与角色
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- **64导EEG采集设备**
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- 持续输出原始 EEG 字节流。
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- **上位机**
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- 负责接收设备数据、调用 XYParser 库、对接算法模块。
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- **XYParser 库**
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- 负责帧解析、阻抗计算、算法数据回灌后的 Welch/PSD 计算。
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- **算法**
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- 接收上位机送入的算法数据，并输出用于 PSD/Welch 计算的数据。
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## 2. 总体链路
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当前流程可以分为两个阶段：
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- **阶段一：阻抗检测阶段**
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- 设备连接后，首先下发采样率和增益配置命令。
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- 然后下发阻抗开启命令。
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- 在该阶段持续接收设备数据，并通过 `XYParser_ReadImpedance` 读取阻抗结果。
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- 阻抗检测结束后，下发阻抗关闭命令。
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- **阶段二：常规采集与算法阶段**
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- 基于 `XYParser_Feed` 解析得到的帧数据继续做常规采集。
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- 帧数据先转换为算法数据，再送入算法模块。
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- Welch/PSD 不再直接基于帧解析结果计算，而是基于算法数据，通过 `XYParser_FeedAlgorithmData` 输入后计算。
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## 3. 接口时序图
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### 3.1 64导初始化连接阶段
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```mermaid
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%%{init: {'theme': 'default', 'sequence': {'diagramMarginX': 80, 'diagramMarginY': 30, 'actorMargin': 80, 'width': 220, 'height': 80, 'messageMargin': 35}}}%%
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sequenceDiagram
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participant Dev as 64导EEG采集设备
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participant Host as 上位机
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participant Lib as XYParser库
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Dev-->>Host: 设备连接成功
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Host->>Lib: parser64 = XYParser_CreateParser(64)
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Host->>Lib: XYParser_SetAdcParams(parser64, 4.5, 6.0)
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Host->>Lib: XYParser_SetSampleRate(parser64, 250)
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Host->>Lib: XYParser_SetBypassChecksum(parser64, 0)
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Host->>Lib: gain_cmd_size = XYParser_Get64GainSampleRateCommandSize()
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Lib-->>Host: gain_cmd_size
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Host->>Lib: gain_cmd_bytes = XYParser_Serialize64GainSampleRateCommand(6, 250, gain_cmd_buf, gain_cmd_size)
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Lib-->>Host: gain_cmd_bytes
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Host->>Dev: 下发采样率250、增益6命令
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```
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### 3.2 64导阻抗阶段
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```mermaid
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%%{init: {'theme': 'default', 'sequence': {'diagramMarginX': 80, 'diagramMarginY': 30, 'actorMargin': 80, 'width': 220, 'height': 80, 'messageMargin': 35}}}%%
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sequenceDiagram
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participant Dev as 64导EEG采集设备
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participant Host as 上位机
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participant Lib as XYParser库
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Host->>Lib: XYParser_SetImpedanceDetection(parser64, 1)
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Host->>Lib: impedance_gain_cmd_size = XYParser_Get64GainSampleRateCommandSize()
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Lib-->>Host: impedance_gain_cmd_size
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Host->>Lib: impedance_gain_cmd_bytes = XYParser_Serialize64GainSampleRateCommand(24, 250, impedance_gain_cmd_buf, impedance_gain_cmd_size)
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Lib-->>Host: impedance_gain_cmd_bytes
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Host->>Dev: 下发采样率250、增益24命令
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Host->>Lib: impedance_cmd_size = XYParser_Get64ImpedanceCommandSize()
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Lib-->>Host: impedance_cmd_size
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Host->>Lib: open_impedance_bytes = XYParser_Serialize64ImpedanceCommand(1, impedance_cmd_buf, impedance_cmd_size)
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Lib-->>Host: open_impedance_bytes
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Host->>Dev: 下发阻抗开启命令
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loop 持续获取阻抗
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Dev-->>Host: 原始EEG字节流
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Host->>Lib: frame_count = XYParser_Feed(parser64, raw_data, raw_size, frame_summaries, max_frames)
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Lib-->>Host: frame_count + frame_summaries
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Host->>Lib: impedance_count = XYParser_ReadImpedance(parser64, impedance_summaries, max_impedance)
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Lib-->>Host: impedance_count + impedance_summaries
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end
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Host->>Lib: close_impedance_bytes = XYParser_Serialize64ImpedanceCommand(0, impedance_cmd_buf, impedance_cmd_size)
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Lib-->>Host: close_impedance_bytes
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Host->>Dev: 下发阻抗关闭命令
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Host->>Lib: restore_gain_cmd_size = XYParser_Get64GainSampleRateCommandSize()
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Lib-->>Host: restore_gain_cmd_size
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Host->>Lib: restore_gain_cmd_bytes = XYParser_Serialize64GainSampleRateCommand(6, 250, restore_gain_cmd_buf, restore_gain_cmd_size)
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Lib-->>Host: restore_gain_cmd_bytes
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Host->>Dev: 下发采样率250、增益6命令
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Host->>Lib: XYParser_SetImpedanceDetection(parser64, 0)
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```
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### 3.3 64导算法阶段
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```mermaid
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%%{init: {'theme': 'default', 'sequence': {'diagramMarginX': 80, 'diagramMarginY': 30, 'actorMargin': 80, 'width': 220, 'height': 80, 'messageMargin': 35}}}%%
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sequenceDiagram
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participant Dev as 64导EEG采集设备
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participant Host as 上位机
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participant Lib as XYParser库
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participant Algo as 算法
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Host->>Lib: XYParser_SetWelchDetection(parser64, 1)
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loop 持续采集
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Dev-->>Host: 原始EEG字节流
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Host->>Lib: frame_count = XYParser_Feed(parser64, raw_data, raw_size, frame_summaries, max_frames)
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Lib-->>Host: frame_count + frame_summaries
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Host->>Lib: value_count = XYParser_GetAlgorithmDataValueCount()
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Lib-->>Host: value_count
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Host->>Lib: ok = XYParser_ConvertSampleFramesToAlgorithmData(frame_summary, algorithm_input_data)
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Lib-->>Host: ok + algorithm_input_data
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Host->>Algo: 输入算法数据 algorithm_input_data
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Algo-->>Host: 算法输出数据 algorithm_output_bytes
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Host->>Lib: alg_frame_count = XYParser_FeedAlgorithmData(parser64, algorithm_output_bytes, algorithm_output_size, algorithm_frames, max_algorithm_frames)
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Lib-->>Host: alg_frame_count + algorithm_frames
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Host->>Lib: welch_count = XYParser_ReadWelch(parser64, welch_summaries, max_welch)
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Lib-->>Host: welch_count + welch_summaries
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end
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opt 结束时处理尾数据
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Host->>Lib: flushed = XYParser_FlushAlgorithmData(parser64, tail_frame_summary)
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Lib-->>Host: flushed + tail_frame_summary
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Host->>Lib: welch_count = XYParser_ReadWelch(parser64, welch_summaries, max_welch)
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Lib-->>Host: welch_count + welch_summaries
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end
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Host->>Lib: XYParser_DestroyParser(parser64)
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```
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### 3.4 64导训练打标阶段
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```mermaid
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%%{init: {'theme': 'default', 'sequence': {'diagramMarginX': 80, 'diagramMarginY': 30, 'actorMargin': 80, 'width': 220, 'height': 80, 'messageMargin': 35}}}%%
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sequenceDiagram
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participant Port as 64导EEG设备串口
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participant Host as 上位机
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participant Lib as XYParser库
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participant Time as 时间
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Host->>Lib: trigger_cmd_size = XYParser_GetTriggerCommandSize()
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Lib-->>Host: trigger_cmd_size
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Host->>Lib: train0_bytes = XYParser_SerializeTriggerCommand(XYPARSER_TRIGGER_TRAIN_0, trigger_cmd_buf, trigger_cmd_size)
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Lib-->>Host: train0_bytes
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Host->>Port: 发送 TRAIN_0 打标
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Host->>Time: 开始训练计时
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Time-->>Host: 训练时间到
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Host->>Lib: train1_bytes = XYParser_SerializeTriggerCommand(XYPARSER_TRIGGER_TRAIN_1, trigger_cmd_buf, trigger_cmd_size)
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Lib-->>Host: train1_bytes
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Host->>Port: 发送 TRAIN_1 打标
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```
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### 3.5 8导初始化连接阶段
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```mermaid
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%%{init: {'theme': 'default', 'sequence': {'diagramMarginX': 80, 'diagramMarginY': 30, 'actorMargin': 80, 'width': 220, 'height': 80, 'messageMargin': 35}}}%%
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sequenceDiagram
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participant Dev as 8导EEG采集设备
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participant Host as 上位机
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participant Lib as XYParser库
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Dev-->>Host: 设备连接成功
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Host->>Lib: parser8 = XYParser_CreateParser(8)
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Host->>Lib: XYParser_SetAdcParams(parser8, vref, gain)
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Host->>Lib: XYParser_SetSampleRate(parser8, sample_rate)
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Host->>Lib: XYParser_SetBypassChecksum(parser8, 0)
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```
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### 3.6 8导阻抗阶段
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```mermaid
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%%{init: {'theme': 'default', 'sequence': {'diagramMarginX': 80, 'diagramMarginY': 30, 'actorMargin': 80, 'width': 220, 'height': 80, 'messageMargin': 35}}}%%
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sequenceDiagram
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participant Dev as 8导EEG采集设备
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participant Host as 上位机
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participant Lib as XYParser库
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Host->>Lib: XYParser_SetImpedanceDetection(parser8, 1)
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Host->>Lib: impedance_cmd_size = XYParser_Get8ChImpedanceCommandSize()
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Lib-->>Host: impedance_cmd_size
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Host->>Lib: open_impedance_bytes = XYParser_Serialize8ChImpedanceCommand(1, impedance_cmd_buf, impedance_cmd_size)
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Lib-->>Host: open_impedance_bytes
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Host->>Dev: 下发阻抗开启命令
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loop 持续获取阻抗
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Dev-->>Host: 原始EEG字节流
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Host->>Lib: frame_count = XYParser_Feed(parser8, raw_data, raw_size, frame8_summaries, max_frames)
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Lib-->>Host: frame_count + frame8_summaries
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Host->>Lib: impedance_count = XYParser_ReadImpedance(parser8, impedance_summaries, max_impedance)
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Lib-->>Host: impedance_count + impedance_summaries
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end
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Host->>Lib: close_impedance_bytes = XYParser_Serialize8ChImpedanceCommand(0, impedance_cmd_buf, impedance_cmd_size)
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Lib-->>Host: close_impedance_bytes
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Host->>Dev: 下发阻抗关闭命令
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Host->>Lib: XYParser_SetImpedanceDetection(parser8, 0)
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```
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### 3.7 8导算法阶段
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```mermaid
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%%{init: {'theme': 'default', 'sequence': {'diagramMarginX': 80, 'diagramMarginY': 30, 'actorMargin': 80, 'width': 220, 'height': 80, 'messageMargin': 35}}}%%
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sequenceDiagram
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participant Dev as 8导EEG采集设备
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participant Host as 上位机
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participant Lib as XYParser库
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participant Algo as 算法
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Host->>Lib: XYParser_SetWelchDetection(parser8, 1)
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loop 持续采集
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Dev-->>Host: 原始EEG字节流
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Host->>Lib: frame_count = XYParser_Feed(parser8, raw_data, raw_size, frame8_summaries, max_frames)
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Lib-->>Host: frame_count + frame8_summaries
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Host->>Lib: converted = XYParser_Convert8ChFramesTo64Ch(frame8_summary, 1, frame64_summary, 1)
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Lib-->>Host: converted + frame64_summary
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Host->>Lib: value_count = XYParser_GetAlgorithmDataValueCount()
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Lib-->>Host: value_count
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Host->>Lib: ok = XYParser_ConvertSampleFramesToAlgorithmData(frame64_summary, algorithm_input_data)
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Lib-->>Host: ok + algorithm_input_data
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Host->>Algo: 输入算法数据 algorithm_input_data
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Algo-->>Host: 算法输出数据 algorithm_output_bytes
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Host->>Lib: alg_frame_count = XYParser_FeedAlgorithmData(parser8, algorithm_output_bytes, algorithm_output_size, algorithm_frames, max_algorithm_frames)
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Lib-->>Host: alg_frame_count + algorithm_frames
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Host->>Lib: welch_count = XYParser_ReadWelch(parser8, welch_summaries, max_welch)
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Lib-->>Host: welch_count + welch_summaries
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end
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opt 结束时处理尾数据
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Host->>Lib: flushed = XYParser_FlushAlgorithmData(parser8, tail_frame_summary)
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Lib-->>Host: flushed + tail_frame_summary
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Host->>Lib: welch_count = XYParser_ReadWelch(parser8, welch_summaries, max_welch)
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Lib-->>Host: welch_count + welch_summaries
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end
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Host->>Lib: XYParser_DestroyParser(parser8)
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```
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## 4. 关键接口职责
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### 4.1 设备参数配置
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- `XYParser_SetAdcParams`
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- 设置库内使用的 ADC 参考电压和增益参数。
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- 该参数影响原始采样值到微伏值的换算。
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- `XYParser_SetSampleRate`
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- 设置库内处理逻辑使用的采样率。
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- 该参数影响阻抗、Welch/PSD 等后续处理。
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- `XYParser_Get64GainSampleRateCommandSize`
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- 获取 64 导设备增益和采样率配置命令所需的缓冲区大小。
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- `XYParser_Serialize64GainSampleRateCommand`
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- 根据目标增益和采样率生成下发给 64 导设备的命令字节流。
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- 上位机拿到该命令后发送给 EEG 设备，使设备端采样参数与库内配置保持一致。
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- 当前推荐流程中：
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- `vref` 固定为 `4.5`。
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- 设备连接成功后，先下发 `250Hz + 增益6`。
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- 开启阻抗前，下发 `250Hz + 增益24`，同时调用 `XYParser_SetImpedanceDetection(handle, 1)`，使库内 gain 自动切到 `24`。
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- 关闭阻抗后，再下发 `250Hz + 增益6`，同时调用 `XYParser_SetImpedanceDetection(handle, 0)`，使库内 gain 自动恢复到 `6`。
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- `XYParser_Get64ImpedanceCommandSize`
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- 获取 64 导阻抗开关命令所需的缓冲区大小。
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- `XYParser_Serialize64ImpedanceCommand`
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- 生成下发给 64 导设备的阻抗开关命令字节流。
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- `open = 1` 表示开启阻抗检测，`open = 0` 表示关闭阻抗检测。
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- `XYParser_Get8ChImpedanceCommandSize`
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- 获取 8 导阻抗开关命令所需的缓冲区大小。
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- `XYParser_Serialize8ChImpedanceCommand`
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- 生成下发给 8 导设备的阻抗开关命令字节流。
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- `open = 1` 表示开启阻抗检测，`open = 0` 表示关闭阻抗检测。
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- 8 导流程中，设备连接后**不需要**额外下发增益和采样率命令。
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### 4.2 原始数据解析
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- `XYParser_Feed`
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- 输入设备原始字节流。
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- 输出解析后的 `XYParserFrameSummary` 数组。
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- 该接口当前仍负责驱动阻抗相关计算。
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- 该接口当前**不再驱动 Welch/PSD 计算**。
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### 4.3 阻抗读取
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- `XYParser_SetImpedanceDetection`
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- 控制是否启用阻抗检测。
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- 启用时，库内 ADC 增益自动切换到 `24`。
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- 关闭时，库内 ADC 增益自动恢复到 `6`。
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- 该接口只修改库内解析参数，不会自动给设备发送控制命令。
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- `XYParser_ReadImpedance`
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- 读取当前已经累计完成的阻抗结果。
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- 阻抗结果来源于阻抗检测阶段的帧解析链路。
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### 4.4 帧转算法数据
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- `XYParser_ConvertSampleFramesToAlgorithmData`
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- 将单帧 `XYParserFrameSummary` 转为算法需要的连续数组。
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- 上位机通常在拿到帧数据后调用此接口，再把结果送入算法模块。
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- `XYParser_Convert8ChFramesTo64Ch`
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- 将 8 导帧转换为 64 导帧，未映射导联补 0。
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- 8 导流程中，在送算法数据前，需要先把 8 导帧转换为 64 导帧，再调用 `XYParser_ConvertSampleFramesToAlgorithmData`。
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### 4.5 算法数据回灌
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- `XYParser_FeedAlgorithmData`
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- 输入算法数据字节流。
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- 内部先按采样缓存，再按每 5 个采样组装为一帧。
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- 同时驱动 Welch/PSD 计算。
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- 可选输出重新组装后的 `XYParserFrameSummary`。
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- `XYParser_ResetAlgorithmDataCache`
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- 清空算法数据缓存。
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- 适合在切换任务、重置状态时调用。
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- `XYParser_FlushAlgorithmData`
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- 将缓存中不足 5 个采样的尾数据补齐为 1 帧输出。
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- 用于结束阶段处理残留数据。
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### 4.6 Welch/PSD 读取
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- `XYParser_SetWelchDetection`
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- 控制是否启用基于算法数据的 Welch 检测。
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- `XYParser_ReadWelch`
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- 读取当前已累计完成的 Welch/PSD 结果。
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- Welch 结果当前仅来源于 `XYParser_FeedAlgorithmData`。
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## 5. 当前设计结论
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### 5.1 阻抗数据来源
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- 阻抗在独立的阻抗检测阶段获取。
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- 即：
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- 设备连接成功
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- 下发采样率250和增益6命令
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- `XYParser_SetImpedanceDetection(handle, 1)`
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- 下发采样率250和增益24命令
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- 下发阻抗开启命令
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- 设备原始字节流
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- `XYParser_Feed`
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- `XYParser_ReadImpedance`
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- `XYParser_SetImpedanceDetection(handle, 0)`
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- 下发阻抗关闭命令
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- 下发采样率250和增益6命令
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### 5.2 PSD 数据来源
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- PSD/Welch 不再直接使用 `XYParser_Feed` 解析出来的帧数据。
|
||
- 当前流程为：
|
||
- 设备原始字节流
|
||
- `XYParser_Feed`
|
||
- `XYParser_ConvertSampleFramesToAlgorithmData`
|
||
- 算法处理
|
||
- `XYParser_FeedAlgorithmData`
|
||
- `XYParser_ReadWelch`
|
||
|
||
### 5.3 8导算法数据来源
|
||
|
||
- 8 导流程中，算法输入和 Welch/PSD 仍然按 64 导数据格式处理。
|
||
- 当前流程为：
|
||
- 8 导设备原始字节流
|
||
- `XYParser_Feed`
|
||
- `XYParser_Convert8ChFramesTo64Ch`
|
||
- `XYParser_ConvertSampleFramesToAlgorithmData`
|
||
- 算法处理
|
||
- `XYParser_FeedAlgorithmData`
|
||
- `XYParser_ReadWelch`
|
||
|
||
## 6. 推荐调用顺序
|
||
|
||
### 6.1 64导推荐调用顺序
|
||
|
||
```text
|
||
1. EEG 设备连接成功
|
||
2. CreateParser
|
||
3. SetAdcParams(4.5, 6) / SetSampleRate(250) / SetBypassChecksum
|
||
4. Get64GainSampleRateCommandSize / Serialize64GainSampleRateCommand(6, 250)
|
||
5. 上位机向设备下发采样率250、增益6命令
|
||
6. SetImpedanceDetection(1)
|
||
7. Get64GainSampleRateCommandSize / Serialize64GainSampleRateCommand(24, 250)
|
||
8. 上位机向设备下发采样率250、增益24命令
|
||
9. Get64ImpedanceCommandSize / Serialize64ImpedanceCommand(1)
|
||
10. 上位机向设备下发阻抗开启命令
|
||
11. 阻抗检测阶段循环:
|
||
11.1 Feed 原始字节流，拿到帧
|
||
11.2 ReadImpedance 读取阻抗
|
||
12. Serialize64ImpedanceCommand(0)
|
||
13. 上位机向设备下发阻抗关闭命令
|
||
14. SetImpedanceDetection(0)
|
||
15. Get64GainSampleRateCommandSize / Serialize64GainSampleRateCommand(6, 250)
|
||
16. 上位机向设备下发采样率250、增益6命令
|
||
17. SetWelchDetection
|
||
18. 常规采集阶段循环:
|
||
18.1 Feed 原始字节流，拿到帧
|
||
18.2 将帧转换为算法数据
|
||
18.3 将算法数据送入算法模块
|
||
18.4 将算法输出数据通过 FeedAlgorithmData 回灌
|
||
18.5 ReadWelch 读取 PSD/Welch 结果
|
||
19. 必要时 FlushAlgorithmData
|
||
20. DestroyParser
|
||
```
|
||
|
||
### 6.2 8导推荐调用顺序
|
||
|
||
```text
|
||
1. EEG 设备连接成功
|
||
2. CreateParser
|
||
3. SetAdcParams(vref, gain) / SetSampleRate(sample_rate) / SetBypassChecksum
|
||
4. SetImpedanceDetection(1)
|
||
5. Get8ChImpedanceCommandSize / Serialize8ChImpedanceCommand(1)
|
||
6. 上位机向设备下发阻抗开启命令
|
||
7. 阻抗检测阶段循环:
|
||
7.1 Feed 原始字节流，拿到8导帧
|
||
7.2 ReadImpedance 读取阻抗
|
||
8. Serialize8ChImpedanceCommand(0)
|
||
9. 上位机向设备下发阻抗关闭命令
|
||
10. SetImpedanceDetection(0)
|
||
11. SetWelchDetection
|
||
12. 常规采集阶段循环:
|
||
12.1 Feed 原始字节流，拿到8导帧
|
||
12.2 将8导帧转换为64导帧
|
||
12.3 将64导帧转换为算法数据
|
||
12.4 将算法数据送入算法模块
|
||
12.5 将算法输出数据通过 FeedAlgorithmData 回灌
|
||
12.6 ReadWelch 读取 PSD/Welch 结果
|
||
13. 必要时 FlushAlgorithmData
|
||
14. DestroyParser
|
||
```
|
||
|
||
## 7. 一句话总结
|
||
|
||
- **阻抗是独立阶段，先开阻抗、持续读取、再关阻抗。**
|
||
- **Welch/PSD 走算法数据链路。**
|
||
- **8导送算法前，先转成64导数据。**
|